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Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #104
Unsupervised Sound Separation Using Mixture Invariant Training
In Poster Session 6
Scott Wisdom · Efthymios Tzinis · Hakan Erdogan · Ron Weiss · Kevin Wilson · John R. Hershey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #188
Neural Networks with Small Weights and Depth-Separation Barriers
In Poster Session 6
Gal Vardi · Ohad Shamir
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #298
The Implications of Local Correlation on Learning Some Deep Functions
In Poster Session 6
Eran Malach · Shai Shalev-Shwartz
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #506
Provably adaptive reinforcement learning in metric spaces
In Poster Session 6
Tongyi Cao · Akshay Krishnamurthy
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #518
Instance Based Approximations to Profile Maximum Likelihood
In Poster Session 6
Nima Anari · Moses Charikar · Kirankumar Shiragur · Aaron Sidford
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #607
Continual Learning of Control Primitives : Skill Discovery via Reset-Games
In Poster Session 6
Kelvin Xu · Siddharth Verma · Chelsea Finn · Sergey Levine
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1323
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
In Poster Session 6
Tao Han · Junyu Gao · Yuan Yuan · Qi Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1324
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping
In Poster Session 6
Shashanka Ubaru · Sanjeeb Dash · Arya Mazumdar · Oktay Gunluk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1325
Transductive Information Maximization for Few-Shot Learning
In Poster Session 6
Malik Boudiaf · Imtiaz Ziko · Jérôme Rony · Jose Dolz · Pablo Piantanida · Ismail Ben Ayed
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1326
Meta-Learning Requires Meta-Augmentation
In Poster Session 6
Janarthanan Rajendran · Alexander Irpan · Eric Jang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1327
Co-Tuning for Transfer Learning
In Poster Session 6
Kaichao You · Zhi Kou · Mingsheng Long · Jianmin Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1328
What Makes for Good Views for Contrastive Learning?
In Poster Session 6
Yonglong Tian · Chen Sun · Ben Poole · Dilip Krishnan · Cordelia Schmid · Phillip Isola
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1329
Self-Supervised Relational Reasoning for Representation Learning
In Poster Session 6
Massimiliano Patacchiola · Amos Storkey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1330
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
In Poster Session 6
Zhongzheng Ren · Raymond A. Yeh · Alex Schwing
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1331
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
In Poster Session 6
Jaehyung Kim · Youngbum Hur · Sejun Park · Eunho Yang · Sung Ju Hwang · Jinwoo Shin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1332
Supervised Contrastive Learning
In Poster Session 6
Prannay Khosla · Piotr Teterwak · Chen Wang · Aaron Sarna · Yonglong Tian · Phillip Isola · Aaron Maschinot · Ce Liu · Dilip Krishnan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1333
Curriculum Learning by Dynamic Instance Hardness
In Poster Session 6
Tianyi Zhou · Shengjie Wang · Jeffrey A Bilmes
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1334
SuperLoss: A Generic Loss for Robust Curriculum Learning
In Poster Session 6
Thibault Castells · Philippe Weinzaepfel · Jerome Revaud
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1335
Neural Topographic Factor Analysis for fMRI Data
In Poster Session 6
Eli Sennesh · Zulqarnain Khan · Yiyu Wang · J Benjamin Hutchinson · Ajay Satpute · Jennifer Dy · Jan-Willem van de Meent
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1336
Self-supervised learning through the eyes of a child
In Poster Session 6
Emin Orhan · Vaibhav Gupta · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1337
Learnability with Indirect Supervision Signals
In Poster Session 6
Kaifu Wang · Qiang Ning · Dan Roth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1338
Learning from Label Proportions: A Mutual Contamination Framework
In Poster Session 6
Clayton Scott · Jianxin Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1339
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
In Poster Session 6
Ding Zhou · Xue-Xin Wei
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1340
Identifying signal and noise structure in neural population activity with Gaussian process factor models
In Poster Session 6
Stephen Keeley · Mikio Aoi · Yiyi Yu · Spencer Smith · Jonathan Pillow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1341
Neuronal Gaussian Process Regression
In Poster Session 6
Johannes Friedrich
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1342
Estimating Fluctuations in Neural Representations of Uncertain Environments
In Poster Session 6
Sahand Farhoodi · Mark Plitt · Lisa Giocomo · Uri Eden
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1343
Understanding spiking networks through convex optimization
In Poster Session 6
Allan Mancoo · Sander Keemink · Christian Machens
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1344
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses
In Poster Session 6
Ronald (James) Cotton · Fabian Sinz · Andreas Tolias
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1345
Efficient estimation of neural tuning during naturalistic behavior
In Poster Session 6
Edoardo Balzani · Kaushik Lakshminarasimhan · Dora Angelaki · Cristina Savin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1346
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons
In Poster Session 6
Gabriel Mahuas · Giulio Isacchini · Olivier Marre · Ulisse Ferrari · Thierry Mora
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1347
Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield
In Poster Session 6
John Choi · Krishan Kumar · Mohammad Khazali · Katie Wingel · Mahdi Choudhury · Adam Charles · Bijan Pesaran
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1348
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
In Poster Session 6
Virginia Rutten · Alberto Bernacchia · Maneesh Sahani · Guillaume Hennequin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1349
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons
In Poster Session 6
Qianyi Li · Cengiz Pehlevan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1350
Predictive coding in balanced neural networks with noise, chaos and delays
In Poster Session 6
Jonathan Kadmon · Jonathan Timcheck · Surya Ganguli
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1351
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data
In Poster Session 6
Kristopher Jensen · Ta-Chu Kao · Marco Tripodi · Guillaume Hennequin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1352
Online Neural Connectivity Estimation with Noisy Group Testing
In Poster Session 6
Anne Draelos · John Pearson
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1353
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations
In Poster Session 6
Joshua Glaser · Matthew Whiteway · John Cunningham · Liam Paninski · Scott Linderman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1354
Rescuing neural spike train models from bad MLE
In Poster Session 6
Diego Arribas · Yuan Zhao · Il Memming Park
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1355
Flows for simultaneous manifold learning and density estimation
In Poster Session 6
Johann Brehmer · Kyle Cranmer
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1356
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
In Poster Session 6
Thomas Sutter · Imant Daunhawer · Julia Vogt
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1357
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
In Poster Session 6
Didrik Nielsen · Priyank Jaini · Emiel Hoogeboom · Ole Winther · Max Welling
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1358
User-Dependent Neural Sequence Models for Continuous-Time Event Data
In Poster Session 6
Alex Boyd · Robert Bamler · Stephan Mandt · Padhraic Smyth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1359
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models
In Poster Session 6
Adarsh Keshav Jeewajee · Leslie Kaelbling
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1360
Hierarchical Quantized Autoencoders
In Poster Session 6
Will Williams · Sam Ringer · Tom Ash · David MacLeod · Jamie Dougherty · John Hughes
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1361
Riemannian Continuous Normalizing Flows
In Poster Session 6
Emile Mathieu · Maximilian Nickel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1362
Efficient Learning of Generative Models via Finite-Difference Score Matching
In Poster Session 6
Tianyu Pang · Kun Xu · Chongxuan LI · Yang Song · Stefano Ermon · Jun Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1363
Learning Latent Space Energy-Based Prior Model
In Poster Session 6
Bo Pang · Tian Han · Erik Nijkamp · Song-Chun Zhu · Ying Nian Wu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1364
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective
In Poster Session 6
Vu Nguyen · Vaden Masrani · Rob Brekelmans · Michael A Osborne · Frank Wood
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1365
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
In Poster Session 6
Chao Ma · Sebastian Tschiatschek · Richard Turner · José Miguel Hernández-Lobato · Cheng Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1367
Stochastic Normalizing Flows
In Poster Session 6
Hao Wu · Jonas Köhler · Frank Noe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1368
Generative Neurosymbolic Machines
In Poster Session 6
Jindong Jiang · Sungjin Ahn
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1369
Fast and Flexible Temporal Point Processes with Triangular Maps
In Poster Session 6
Oleksandr Shchur · Nicholas Gao · Marin Biloš · Stephan Günnemann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1370
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting
In Poster Session 6
Richard Kurle · Syama Sundar Rangapuram · Emmanuel de Bézenac · Stephan Günnemann · Jan Gasthaus
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1371
Neural Dynamic Policies for End-to-End Sensorimotor Learning
In Poster Session 6
Shikhar Bahl · Mustafa Mukadam · Abhinav Gupta · Deepak Pathak
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1372
Critic Regularized Regression
In Poster Session 6
Ziyu Wang · Alexander Novikov · Konrad Zolna · Josh Merel · Jost Tobias Springenberg · Scott Reed · Bobak Shahriari · Noah Siegel · Caglar Gulcehre · Nicolas Heess · Nando de Freitas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1373
Off-Policy Imitation Learning from Observations
In Poster Session 6
Zhuangdi Zhu · Kaixiang Lin · Bo Dai · Jiayu Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1374
Deep Inverse Q-learning with Constraints
In Poster Session 6
Gabriel Kalweit · Maria Huegle · Moritz Werling · Joschka Boedecker
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1375
Value-driven Hindsight Modelling
In Poster Session 6
Arthur Guez · Fabio Viola · Theophane Weber · Lars Buesing · Steven Kapturowski · Doina Precup · David Silver · Nicolas Heess
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1376
Effective Diversity in Population Based Reinforcement Learning
In Poster Session 6
Jack Parker-Holder · Aldo Pacchiano · Krzysztof M Choromanski · Stephen J Roberts
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1377
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
In Poster Session 6
Paul Barde · Julien Roy · Wonseok Jeon · Joelle Pineau · Chris Pal · Derek Nowrouzezahrai
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1378
Reward Propagation Using Graph Convolutional Networks
In Poster Session 6
Martin Klissarov · Doina Precup
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1379
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
In Poster Session 6
Henry Charlesworth · Giovanni Montana
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1380
Self-Paced Deep Reinforcement Learning
In Poster Session 6
Pascal Klink · Carlo D'Eramo · Jan Peters · Joni Pajarinen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1381
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
In Poster Session 6
Yijie Guo · Jongwook Choi · Marcin Moczulski · Shengyu Feng · Samy Bengio · Mohammad Norouzi · Honglak Lee
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1382
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping
In Poster Session 6
Yujing Hu · Weixun Wang · Hangtian Jia · Yixiang Wang · Yingfeng Chen · Jianye Hao · Feng Wu · Changjie Fan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1383
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning
In Poster Session 6
Xin Zhang · Yanhua Li · Ziming Zhang · Zhi-Li Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1384
Strictly Batch Imitation Learning by Energy-based Distribution Matching
In Poster Session 6
Daniel Jarrett · Ioana Bica · Mihaela van der Schaar
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1385
Meta-Gradient Reinforcement Learning with an Objective Discovered Online
In Poster Session 6
Zhongwen Xu · Hado van Hasselt · Matteo Hessel · Junhyuk Oh · Satinder Singh · David Silver
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1386
Inverse Reinforcement Learning from a Gradient-based Learner
In Poster Session 6
Giorgia Ramponi · Gianluca Drappo · Marcello Restelli
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1387
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses
In Poster Session 6
Yihan Zhou · Victor Sanches Portella · Mark Schmidt · Nicholas Harvey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1388
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses
In Poster Session 6
Raef Bassily · Vitaly Feldman · Cristóbal Guzmán · Kunal Talwar
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1389
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
In Poster Session 6
Yifan Hu · Siqi Zhang · Xin Chen · Niao He
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1390
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
In Poster Session 6
Raphaël Berthier · Francis Bach · Pierre Gaillard
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1391
Exponential ergodicity of mirror-Langevin diffusions
In Poster Session 6
Sinho Chewi · Thibaut Le Gouic · Chen Lu · Tyler Maunu · Philippe Rigollet · Austin Stromme
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1392
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
In Poster Session 6
Lénaïc Chizat · Pierre Roussillon · Flavien Léger · François-Xavier Vialard · Gabriel Peyré
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1393
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits
In Poster Session 6
Arya Akhavan · Massimiliano Pontil · Alexandre Tsybakov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1394
The Statistical Complexity of Early-Stopped Mirror Descent
In Poster Session 6
Tomas Vaskevicius · Varun Kanade · Patrick Rebeschini
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1395
Statistical and Topological Properties of Sliced Probability Divergences
In Poster Session 6
Kimia Nadjahi · Alain Durmus · Lénaïc Chizat · Soheil Kolouri · Shahin Shahrampour · Umut Simsekli
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1396
Sharper Generalization Bounds for Pairwise Learning
In Poster Session 6
Yunwen Lei · Antoine Ledent · Marius Kloft
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1397
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study
In Poster Session 6
Assaf Dauber · Meir Feder · Tomer Koren · Roi Livni
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1398
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance
In Poster Session 6
Ziv Goldfeld · Kristjan Greenewald · Kengo Kato
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1399
Towards Problem-dependent Optimal Learning Rates
In Poster Session 6
Yunbei Xu · Assaf Zeevi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1400
On Uniform Convergence and Low-Norm Interpolation Learning
In Poster Session 6
Lijia Zhou · Danica J. Sutherland · Nati Srebro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1401
Estimating weighted areas under the ROC curve
In Poster Session 6
Andreas Maurer · Massimiliano Pontil
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1402
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization
In Poster Session 6
Benjamin Aubin · Florent Krzakala · Yue Lu · Lenka Zdeborová
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1403
On Second Order Behaviour in Augmented Neural ODEs
In Poster Session 6
Alexander Norcliffe · Cristian Bodnar · Ben Day · Nikola Simidjievski · Pietro Lió
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1404
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
In Poster Session 6
Marc Finzi · Ke Alexander Wang · Andrew Wilson
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1405
Object-Centric Learning with Slot Attention
In Poster Session 6
Francesco Locatello · Dirk Weissenborn · Thomas Unterthiner · Aravindh Mahendran · Georg Heigold · Jakob Uszkoreit · Alexey Dosovitskiy · Thomas Kipf
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1406
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks
In Poster Session 6
David Bieber · Charles Sutton · Hugo Larochelle · Danny Tarlow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1407
Probabilistic Time Series Forecasting with Shape and Temporal Diversity
In Poster Session 6
Vincent LE GUEN · Nicolas THOME
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1408
A shooting formulation of deep learning
In Poster Session 6
François-Xavier Vialard · Roland Kwitt · Susan Wei · Marc Niethammer
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1409
Training Linear Finite-State Machines
In Poster Session 6
Arash Ardakani · Amir Ardakani · Warren Gross
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1410
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method
In Poster Session 6
Simiao Ren · Willie Padilla · Jordan Malof
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1411
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations
In Poster Session 6
Zijie Huang · Yizhou Sun · Wei Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1412
Fast Transformers with Clustered Attention
In Poster Session 6
Apoorv Vyas · Angelos Katharopoulos · François Fleuret
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1413
SMYRF - Efficient Attention using Asymmetric Clustering
In Poster Session 6
Giannis Daras · Nikita Kitaev · Augustus Odena · Alex Dimakis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1414
Sparse and Continuous Attention Mechanisms
In Poster Session 6
André Martins · António Farinhas · Marcos Treviso · Vlad Niculae · Pedro Aguiar · Mario Figueiredo
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1415
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows
In Poster Session 6
Ruizhi Deng · Bo Chang · Marcus Brubaker · Greg Mori · Andreas Lehrmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1416
Denoising Diffusion Probabilistic Models
In Poster Session 6
Jonathan Ho · Ajay Jain · Pieter Abbeel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1417
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
In Poster Session 6
Giancarlo Kerg · Bhargav Kanuparthi · Anirudh Goyal · Kyle Goyette · Yoshua Bengio · Guillaume Lajoie
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1418
Neural Controlled Differential Equations for Irregular Time Series
In Poster Session 6
Patrick Kidger · James Morrill · James Foster · Terry Lyons
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1419
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
In Poster Session 6
Nikolaos Karalias · Andreas Loukas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1420
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models
In Poster Session 6
Leonardo Cotta · Carlos H. C. Teixeira · Ananthram Swami · Bruno Ribeiro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1421
Pointer Graph Networks
In Poster Session 6
Petar Veličković · Lars Buesing · Matthew Overlan · Razvan Pascanu · Oriol Vinyals · Charles Blundell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1422
Can Graph Neural Networks Count Substructures?
In Poster Session 6
Zhengdao Chen · Lei Chen · Soledad Villar · Joan Bruna
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1423
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
In Poster Session 6
Pan Li · Yanbang Wang · Hongwei Wang · Jure Leskovec
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1424
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
In Poster Session 6
Wenzheng Feng · Jie Zhang · Yuxiao Dong · Yu Han · Huanbo Luan · Qian Xu · Qiang Yang · Evgeny Kharlamov · Jie Tang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1425
Graph Contrastive Learning with Augmentations
In Poster Session 6
Yuning You · Tianlong Chen · Yongduo Sui · Ting Chen · Zhangyang Wang · Yang Shen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1426
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks
In Poster Session 6
Yimeng Min · Frederik Wenkel · Guy Wolf
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1427
Graph Stochastic Neural Networks for Semi-supervised Learning
In Poster Session 6
Haibo Wang · Chuan Zhou · Xin Chen · Jia Wu · Shirui Pan · Jilong Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1428
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling
In Poster Session 6
Moshe Eliasof · Eran Treister
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1429
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection
In Poster Session 6
Xiaoya Li · Yuxian Meng · Mingxin Zhou · Qinghong Han · Fei Wu · Jiwei Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1430
Curvature Regularization to Prevent Distortion in Graph Embedding
In Poster Session 6
Hongbin Pei · Bingzhe Wei · Kevin Chang · Chunxu Zhang · Bo Yang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1431
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
In Poster Session 6
Sahil Manchanda · AKASH MITTAL · Anuj Dhawan · Sourav Medya · Sayan Ranu · Ambuj K Singh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1432
Subgraph Neural Networks
In Poster Session 6
Emily Alsentzer · Samuel Finlayson · Michelle Li · Marinka Zitnik
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1433
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
In Poster Session 6
Minh Vu · My T. Thai
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1434
Factor Graph Neural Networks
In Poster Session 6
Zhen Zhang · Fan Wu · Wee Sun Lee
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1435
WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement
In Poster Session 6
Edith Cohen · Rasmus Pagh · David Woodruff
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1436
Statistical Guarantees of Distributed Nearest Neighbor Classification
In Poster Session 6
Jiexin Duan · Xingye Qiao · Guang Cheng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1437
Robust Persistence Diagrams using Reproducing Kernels
In Poster Session 6
Siddharth Vishwanath · Kenji Fukumizu · Satoshi Kuriki · Bharath Sriperumbudur
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1438
Regression with reject option and application to kNN
In Poster Session 6
Ahmed Zaoui · Christophe Denis · Mohamed Hebiri
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1439
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning
In Poster Session 6
Bhavya Kailkhura · Jayaraman Thiagarajan · Qunwei Li · Jize Zhang · Yi Zhou · Timo Bremer
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1440
Uncertainty Quantification for Inferring Hawkes Networks
In Poster Session 6
Haoyun Wang · Liyan Xie · Alex Cuozzo · Simon Mak · Yao Xie
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1441
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
In Poster Session 6
Matthew Tancik · Pratul Srinivasan · Ben Mildenhall · Sara Fridovich-Keil · Nithin Raghavan · Utkarsh Singhal · Ravi Ramamoorthi · Jonathan Barron · Ren Ng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1442
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
In Poster Session 6
Fabian Fuchs · Daniel E Worrall · Volker Fischer · Max Welling
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1443
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm
In Poster Session 6
Gersende Fort · Eric Moulines · Hoi-To Wai
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1444
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples
In Poster Session 6
Shafi Goldwasser · Adam Tauman Kalai · Yael Kalai · Omar Montasser
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1445
Confidence sequences for sampling without replacement
In Poster Session 6
Ian Waudby-Smith · Aaditya Ramdas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1446
Truthful Data Acquisition via Peer Prediction
In Poster Session 6
Yiling Chen · Yiheng Shen · Shuran Zheng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1447
Axioms for Learning from Pairwise Comparisons
In Poster Session 6
Ritesh Noothigattu · Dominik Peters · Ariel Procaccia
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1448
Testing Determinantal Point Processes
In Poster Session 6
Khashayar Gatmiry · Maryam Aliakbarpour · Stefanie Jegelka
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1449
Coded Sequential Matrix Multiplication For Straggler Mitigation
In Poster Session 6
Nikhil Krishnan Muralee Krishnan · Seyederfan Hosseini · Ashish Khisti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1450
Functional Regularization for Representation Learning: A Unified Theoretical Perspective
In Poster Session 6
Siddhant Garg · Yingyu Liang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1451
Adaptive Sampling for Stochastic Risk-Averse Learning
In Poster Session 6
Sebastian Curi · Kfir Y. Levy · Stefanie Jegelka · Andreas Krause
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1452
High-Dimensional Sparse Linear Bandits
In Poster Session 6
Botao Hao · Tor Lattimore · Mengdi Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1453
Adversarial Bandits with Corruptions
In Poster Session 6
Lin Yang · Mohammad Hajiesmaili · Mohammad Sadegh Talebi · John C. S. Lui · Wing Shing Wong
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1454
On Regret with Multiple Best Arms
In Poster Session 6
Yinglun Zhu · Robert Nowak
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1455
Model Selection in Contextual Stochastic Bandit Problems
In Poster Session 6
Aldo Pacchiano · My Phan · Yasin Abbasi Yadkori · Anup Rao · Julian Zimmert · Tor Lattimore · Csaba Szepesvari
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1456
An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits
In Poster Session 6
Andrea Tirinzoni · Matteo Pirotta · Marcello Restelli · Alessandro Lazaric
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1457
Adapting to Misspecification in Contextual Bandits
In Poster Session 6
Dylan Foster · Claudio Gentile · Mehryar Mohri · Julian Zimmert
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1458
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
In Poster Session 6
Yingying Li · Na Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1459
Bandit Linear Control
In Poster Session 6
Asaf Benjamin Cassel · Tomer Koren
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1460
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
In Poster Session 6
Edouard Leurent · Odalric-Ambrym Maillard · Denis Efimov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1461
On the Convergence of Smooth Regularized Approximate Value Iteration Schemes
In Poster Session 6
Elena Smirnova · Elvis Dohmatob
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1462
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
In Poster Session 6
Wanxin Jin · Zhaoran Wang · Zhuoran Yang · Shaoshuai Mou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1463
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning
In Poster Session 6
Nino Vieillard · Tadashi Kozuno · Bruno Scherrer · Olivier Pietquin · Remi Munos · Matthieu Geist
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1464
Implicit Distributional Reinforcement Learning
In Poster Session 6
Yuguang Yue · Zhendong Wang · Mingyuan Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1465
Small Nash Equilibrium Certificates in Very Large Games
In Poster Session 6
Brian Zhang · Tuomas Sandholm
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1466
Contextual Games: Multi-Agent Learning with Side Information
In Poster Session 6
Pier Giuseppe Sessa · Ilija Bogunovic · Andreas Krause · Maryam Kamgarpour
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1467
Recursive Inference for Variational Autoencoders
In Poster Session 6
Minyoung Kim · Vladimir Pavlovic
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1468
Bayesian Pseudocoresets
In Poster Session 6
Dionysis Manousakas · Zuheng Xu · Cecilia Mascolo · Trevor Campbell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1469
Variational Bayesian Monte Carlo with Noisy Likelihoods
In Poster Session 6
Luigi Acerbi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1470
Bayesian Probabilistic Numerical Integration with Tree-Based Models
In Poster Session 6
Harrison Zhu · Xing Liu · Ruya Kang · Zhichao Shen · Seth Flaxman · Francois-Xavier Briol
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1471
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
In Poster Session 6
Jakob Lindinger · David Reeb · Christoph Lippert · Barbara Rakitsch
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1472
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization
In Poster Session 6
Geoff Pleiss · Martin Jankowiak · David Eriksson · Anil Damle · Jacob Gardner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1473
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks
In Poster Session 6
Randall Balestriero · Sebastien PARIS · Richard Baraniuk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1474
Decentralized Langevin Dynamics for Bayesian Learning
In Poster Session 6
Anjaly Parayil · He Bai · Jemin George · Prudhvi Gurram
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1475
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond
In Poster Session 6
Charles Margossian · Aki Vehtari · Daniel Simpson · Raj Agrawal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1476
Decision-Making with Auto-Encoding Variational Bayes
In Poster Session 6
Romain Lopez · Pierre Boyeau · Nir Yosef · Michael Jordan · Jeffrey Regier
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1477
Robust, Accurate Stochastic Optimization for Variational Inference
In Poster Session 6
Akash Kumar Dhaka · Alejandro Catalina · Michael Andersen · Måns Magnusson · Jonathan Huggins · Aki Vehtari
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1478
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
In Poster Session 6
Abhinav Agrawal · Daniel Sheldon · Justin Domke
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1479
Efficient Low Rank Gaussian Variational Inference for Neural Networks
In Poster Session 6
Marcin Tomczak · Siddharth Swaroop · Richard Turner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1480
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations
In Poster Session 6
Sebastian Farquhar · Lewis Smith · Yarin Gal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1481
Markovian Score Climbing: Variational Inference with KL(p||q)
In Poster Session 6
Christian Naesseth · Fredrik Lindsten · David Blei
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1482
Projected Stein Variational Gradient Descent
In Poster Session 6
Peng Chen · Omar Ghattas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1483
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing
In Poster Session 6
Vishaal Krishnan · Abed AlRahman Al Makdah · Fabio Pasqualetti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1484
SnapBoost: A Heterogeneous Boosting Machine
In Poster Session 6
Thomas Parnell · Andreea Anghel · Małgorzata Łazuka · Nikolas Ioannou · Sebastian Kurella · Peshal Agarwal · Nikolaos Papandreou · Haralampos Pozidis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1485
The Wasserstein Proximal Gradient Algorithm
In Poster Session 6
Adil Salim · Anna Korba · Giulia Luise
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1486
Unbalanced Sobolev Descent
In Poster Session 6
Youssef Mroueh · Mattia Rigotti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1487
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction
In Poster Session 6
Benoît Colange · Jaakko Peltonen · Michael Aupetit · Denys Dutykh · Sylvain Lespinats
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1488
Multiparameter Persistence Image for Topological Machine Learning
In Poster Session 6
Mathieu Carrière · Andrew Blumberg
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1489
Learning with Differentiable Pertubed Optimizers
In Poster Session 6
Quentin Berthet · Mathieu Blondel · Olivier Teboul · Marco Cuturi · Jean-Philippe Vert · Francis Bach
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1490
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
In Poster Session 6
Hayata Yamasaki · Sathyawageeswar Subramanian · Sho Sonoda · Masato Koashi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1491
Learning outside the Black-Box: The pursuit of interpretable models
In Poster Session 6
Jonathan Crabbe · Yao Zhang · William Zame · Mihaela van der Schaar
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1492
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization
In Poster Session 6
Chaobing Song · Yong Jiang · Yi Ma
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1493
Random Reshuffling is Not Always Better
In Poster Session 6
Christopher De Sa
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1494
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
In Poster Session 6
Chaobing Song · Zhengyuan Zhou · Yichao Zhou · Yong Jiang · Yi Ma
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1495
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
In Poster Session 6
Kaiyi Ji · Jason Lee · Yingbin Liang · H. Vincent Poor
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1496
Online Sinkhorn: Optimal Transport distances from sample streams
In Poster Session 6
Arthur Mensch · Gabriel Peyré
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1497
A Non-Asymptotic Analysis for Stein Variational Gradient Descent
In Poster Session 6
Anna Korba · Adil Salim · Michael Arbel · Giulia Luise · Arthur Gretton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1498
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence
In Poster Session 6
Sinho Chewi · Thibaut Le Gouic · Chen Lu · Tyler Maunu · Philippe Rigollet
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1499
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
In Poster Session 6
Jorge Mendez · Boyu Wang · Eric Eaton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1500
The NetHack Learning Environment
In Poster Session 6
Heinrich Küttler · Nantas Nardelli · Alexander Miller · Roberta Raileanu · Marco Selvatici · Edward Grefenstette · Tim Rocktäschel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1501
Discovering Reinforcement Learning Algorithms
In Poster Session 6
Junhyuk Oh · Matteo Hessel · Wojciech Czarnecki · Zhongwen Xu · Hado van Hasselt · Satinder Singh · David Silver
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1502
Latent World Models For Intrinsically Motivated Exploration
In Poster Session 6
Aleksandr Ermolov · Nicu Sebe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1503
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning
In Poster Session 6
Julien Roy · Paul Barde · Félix Harvey · Derek Nowrouzezahrai · Chris Pal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1504
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
In Poster Session 6
Filippos Christianos · Lukas Schäfer · Stefano Albrecht
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1505
Learning to Incentivize Other Learning Agents
In Poster Session 6
Jiachen Yang · Ang Li · Mehrdad Farajtabar · Peter Sunehag · Edward Hughes · Hongyuan Zha
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1506
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
In Poster Session 6
Nelson Vadori · Sumitra Ganesh · Prashant Reddy · Manuela Veloso
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1507
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning
In Poster Session 6
Arnu Pretorius · Scott Cameron · Elan van Biljon · Thomas Makkink · Shahil Mawjee · Jeremy du Plessis · Jonathan Shock · Alexandre Laterre · Karim Beguir
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1508
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
In Poster Session 6
Thomas Anthony · Tom Eccles · Andrea Tacchetti · János Kramár · Ian Gemp · Thomas Hudson · Nicolas Porcel · Marc Lanctot · Julien Perolat · Richard Everett · Satinder Singh · Thore Graepel · Yoram Bachrach
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1509
A Boolean Task Algebra for Reinforcement Learning
In Poster Session 6
Geraud Nangue Tasse · Steven James · Benjamin Rosman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1510
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
In Poster Session 6
Zhiyuan Xu · Kun Wu · Zhengping Che · Jian Tang · Jieping Ye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1511
Munchausen Reinforcement Learning
In Poster Session 6
Nino Vieillard · Olivier Pietquin · Matthieu Geist
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1512
Information-theoretic Task Selection for Meta-Reinforcement Learning
In Poster Session 6
Ricardo Luna Gutierrez · Matteo Leonetti
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1513
Automatic Curriculum Learning through Value Disagreement
In Poster Session 6
Yunzhi Zhang · Pieter Abbeel · Lerrel Pinto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1514
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
In Poster Session 6
Noam Brown · Anton Bakhtin · Adam Lerer · Qucheng Gong
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1515
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula
In Poster Session 6
Yuxuan Zhao · Madeleine Udell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1516
Learning to Prove Theorems by Learning to Generate Theorems
In Poster Session 6
Mingzhe Wang · Jia Deng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1517
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation
In Poster Session 6
Makan Arastuie · Subhadeep Paul · Kevin Xu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1518
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations
In Poster Session 6
Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1519
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms.
In Poster Session 6
Sriram Sankaranarayanan · Yi Chou · Eric Goubault · Sylvie Putot
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1520
Taming Discrete Integration via the Boon of Dimensionality
In Poster Session 6
Jeffrey Dudek · Dror Fried · Kuldeep S Meel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1521
Belief Propagation Neural Networks
In Poster Session 6
Jonathan Kuck · Shuvam Chakraborty · Hao Tang · Rachel Luo · Jiaming Song · Ashish Sabharwal · Stefano Ermon
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1522
Scalable Belief Propagation via Relaxed Scheduling
In Poster Session 6
Vitalii Aksenov · Dan Alistarh · Janne H. Korhonen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1523
Probabilistic Circuits for Variational Inference in Discrete Graphical Models
In Poster Session 6
Andy Shih · Stefano Ermon
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1524
Towards Scalable Bayesian Learning of Causal DAGs
In Poster Session 6
Jussi Viinikka · Antti Hyttinen · Johan Pensar · Mikko Koivisto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1525
A Novel Approach for Constrained Optimization in Graphical Models
In Poster Session 6
Sara Rouhani · Tahrima Rahman · Vibhav Gogate
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1526
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
In Poster Session 6
Dennis Wei · Tian Gao · Yue Yu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1527
Factor Graph Grammars
In Poster Session 6
David Chiang · Darcey Riley
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1528
Efficient Learning of Discrete Graphical Models
In Poster Session 6
Marc Vuffray · Sidhant Misra · Andrey Lokhov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1529
Online Bayesian Goal Inference for Boundedly Rational Planning Agents
In Poster Session 6
Tan Zhi-Xuan · Jordyn Mann · Tom Silver · Josh Tenenbaum · Vikash Mansinghka
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1530
Greedy inference with structure-exploiting lazy maps
In Poster Session 6
Michael Brennan · Daniele Bigoni · Olivier Zahm · Alessio Spantini · Youssef Marzouk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1531
Biologically Inspired Mechanisms for Adversarial Robustness
In Poster Session 6
Manish Reddy Vuyyuru · Andrzej Banburski · Nishka Pant · Tomaso Poggio
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1532
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
In Poster Session 6
Mingyuan Zhang · Shivani Agarwal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1533
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
In Poster Session 6
Lynton Ardizzone · Radek Mackowiak · Carsten Rother · Ullrich Köthe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1534
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
In Poster Session 6
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1535
A Unified View of Label Shift Estimation
In Poster Session 6
Saurabh Garg · Yifan Wu · Sivaraman Balakrishnan · Zachary Lipton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1536
Calibrating Deep Neural Networks using Focal Loss
In Poster Session 6
Jishnu Mukhoti · Viveka Kulharia · Amartya Sanyal · Stuart Golodetz · Philip Torr · Puneet Dokania
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1537
Distribution-free binary classification: prediction sets, confidence intervals and calibration
In Poster Session 6
Chirag Gupta · Aleksandr Podkopaev · Aaditya Ramdas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1538
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment
In Poster Session 6
Ben Usman · Avneesh Sud · Nick Dufour · Kate Saenko
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1539
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling
In Poster Session 6
Tong Che · Ruixiang ZHANG · Jascha Sohl-Dickstein · Hugo Larochelle · Liam Paull · Yuan Cao · Yoshua Bengio
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1540
Exchangeable Neural ODE for Set Modeling
In Poster Session 6
Yang Li · Haidong Yi · Christopher Bender · Siyuan Shan · Junier Oliva
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1541
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features
In Poster Session 6
Robin Schirrmeister · Yuxuan Zhou · Tonio Ball · Dan Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1542
Further Analysis of Outlier Detection with Deep Generative Models
In Poster Session 6
Ziyu Wang · Bin Dai · David P Wipf · Jun Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1543
Sample Complexity of Uniform Convergence for Multicalibration
In Poster Session 6
Eliran Shabat · Lee Cohen · Yishay Mansour
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1544
Certifiably Adversarially Robust Detection of Out-of-Distribution Data
In Poster Session 6
Julian Bitterwolf · Alexander Meinke · Matthias Hein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1545
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
In Poster Session 6
Disi Ji · Padhraic Smyth · Mark Steyvers
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1546
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
In Poster Session 6
Jay Nandy · Wynne Hsu · Mong Li Lee
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1547
Reducing Adversarially Robust Learning to Non-Robust PAC Learning
In Poster Session 6
Omar Montasser · Steve Hanneke · Nati Srebro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1548
Tensor Completion Made Practical
In Poster Session 6
Allen Liu · Ankur Moitra
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1549
Online Matrix Completion with Side Information
In Poster Session 6
Mark Herbster · Stephen Pasteris · Lisa Tse
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1550
Truncated Linear Regression in High Dimensions
In Poster Session 6
Constantinos Daskalakis · Dhruv Rohatgi · Emmanouil Zampetakis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1551
Finer Metagenomic Reconstruction via Biodiversity Optimization
In Poster Session 6
Simon Foucart · David Koslicki
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1552
Implicit Regularization in Deep Learning May Not Be Explainable by Norms
In Poster Session 6
Noam Razin · Nadav Cohen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1553
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
In Poster Session 6
Richard Y Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1554
Towards a Better Global Loss Landscape of GANs
In Poster Session 6
Ruoyu Sun · Tiantian Fang · Alex Schwing
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1555
Implicit Regularization and Convergence for Weight Normalization
In Poster Session 6
Xiaoxia Wu · Edgar Dobriban · Tongzheng Ren · Shanshan Wu · Zhiyuan Li · Suriya Gunasekar · Rachel Ward · Qiang Liu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1556
Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations
In Poster Session 6
Amit Daniely · Hadas Shacham
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1557
Geometric Exploration for Online Control
In Poster Session 6
Orestis Plevrakis · Elad Hazan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1558
The Smoothed Possibility of Social Choice
In Poster Session 6
Lirong Xia
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1559
Optimally Deceiving a Learning Leader in Stackelberg Games
In Poster Session 6
Georgios Birmpas · Jiarui Gan · Alexandros Hollender · Francisco Marmolejo · Ninad Rajgopal · Alexandros Voudouris
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1560
Explainable Voting
In Poster Session 6
Dominik Peters · Ariel Procaccia · Alexandros Psomas · Zixin Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1561
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions
In Poster Session 6
Stefano Sarao Mannelli · Eric Vanden-Eijnden · Lenka Zdeborová
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1562
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree
In Poster Session 6
Peizhong Ju · Xiaojun Lin · Jia Liu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1563
A Benchmark for Systematic Generalization in Grounded Language Understanding
In Poster Session 6
Laura Ruis · Jacob Andreas · Marco Baroni · Diane Bouchacourt · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1564
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
In Poster Session 6
Julien Launay · Iacopo Poli · François Boniface · Florent Krzakala
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1565
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
In Poster Session 6
Roman Pogodin · Peter E Latham
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1566
Meta-Learning through Hebbian Plasticity in Random Networks
In Poster Session 6
Elias Najarro · Sebastian Risi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1567
Stable and expressive recurrent vision models
In Poster Session 6
Drew Linsley · Alekh Karkada Ashok · Lakshmi Narasimhan Govindarajan · Rex Liu · Thomas Serre
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1568
Identifying Learning Rules From Neural Network Observables
In Poster Session 6
Aran Nayebi · Sanjana Srivastava · Surya Ganguli · Daniel Yamins
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1569
Deep active inference agents using Monte-Carlo methods
In Poster Session 6
Zafeirios Fountas · Noor Sajid · Pedro Mediano · Karl Friston
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1570
Learning Compositional Rules via Neural Program Synthesis
In Poster Session 6
Maxwell Nye · Armando Solar-Lezama · Josh Tenenbaum · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1571
A Local Temporal Difference Code for Distributional Reinforcement Learning
In Poster Session 6
Pablo Tano · Peter Dayan · Alexandre Pouget
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1572
Inferring learning rules from animal decision-making
In Poster Session 6
Zoe Ashwood · Nicholas Roy · Ji Hyun Bak · Jonathan Pillow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1573
A Biologically Plausible Neural Network for Slow Feature Analysis
In Poster Session 6
David Lipshutz · Charles Windolf · Siavash Golkar · Dmitri Chklovskii
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1574
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making
In Poster Session 6
Sergey Shuvaev · Sarah Starosta · Duda Kvitsiani · Adam Kepecs · Alexei Koulakov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1575
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
In Poster Session 6
Anqi Wu · Estefany Kelly Buchanan · Matthew Whiteway · Michael Schartner · Guido Meijer · Jean-Paul Noel · Erica Rodriguez · Claire Everett · Amy Norovich · Evan Schaffer · Neeli Mishra · C. Daniel Salzman · Dora Angelaki · Andrés Bendesky · The International Brain Laboratory The International Brain Laboratory · John Cunningham · Liam Paninski
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1576
Characterizing emergent representations in a space of candidate learning rules for deep networks
In Poster Session 6
Yinan Cao · Christopher Summerfield · Andrew Saxe
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1577
A simple normative network approximates local non-Hebbian learning in the cortex
In Poster Session 6
Siavash Golkar · David Lipshutz · Yanis Bahroun · Anirvan Sengupta · Dmitri Chklovskii
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1578
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network
In Poster Session 6
Basile Confavreux · Friedemann Zenke · Everton Agnes · Timothy Lillicrap · Tim Vogels
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1579
Detection as Regression: Certified Object Detection with Median Smoothing
In Poster Session 6
Ping-yeh Chiang · Michael Curry · Ahmed Abdelkader · Aounon Kumar · John Dickerson · Tom Goldstein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1580
Certifying Confidence via Randomized Smoothing
In Poster Session 6
Aounon Kumar · Alexander Levine · Soheil Feizi · Tom Goldstein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1581
Reliable Graph Neural Networks via Robust Aggregation
In Poster Session 6
Simon Geisler · Daniel Zügner · Stephan Günnemann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1582
PLLay: Efficient Topological Layer based on Persistent Landscapes
In Poster Session 6
Kwangho Kim · Jisu Kim · Manzil Zaheer · Joon Kim · Frederic Chazal · Larry Wasserman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1583
Network Diffusions via Neural Mean-Field Dynamics
In Poster Session 6
Shushan He · Hongyuan Zha · Xiaojing Ye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1584
Learning the Geometry of Wave-Based Imaging
In Poster Session 6
Konik Kothari · Maarten de Hoop · Ivan Dokmanić
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1585
Neuron Shapley: Discovering the Responsible Neurons
In Poster Session 6
Amirata Ghorbani · James Zou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1586
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
In Poster Session 6
Hongwei Jin · Zhan Shi · Venkata Jaya Shankar Ashish Peruri · Xinhua Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1587
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth
In Poster Session 6
Guy Bresler · Dheeraj Nagaraj
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1588
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
In Poster Session 6
Wenrui Zhang · Peng Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1589
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder
In Poster Session 6
Zhisheng Xiao · Qing Yan · Yali Amit
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1590
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
In Poster Session 6
Austin Tripp · Erik Daxberger · José Miguel Hernández-Lobato
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1591
Discovering Symbolic Models from Deep Learning with Inductive Biases
In Poster Session 6
Miles Cranmer · Alvaro Sanchez Gonzalez · Peter Battaglia · Rui Xu · Kyle Cranmer · David Spergel · Shirley Ho
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1592
Compositional Explanations of Neurons
In Poster Session 6
Jesse Mu · Jacob Andreas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1593
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
In Poster Session 6
Kaidi Xu · Zhouxing Shi · Huan Zhang · Yihan Wang · Kai-Wei Chang · Minlie Huang · Bhavya Kailkhura · Xue Lin · Cho-Jui Hsieh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1594
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
In Poster Session 6
Yi Zhang · Orestis Plevrakis · Simon Du · Xingguo Li · Zhao Song · Sanjeev Arora
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1595
Telescoping Density-Ratio Estimation
In Poster Session 6
Benjamin Rhodes · Kai Xu · Michael Gutmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1596
On Testing of Samplers
In Poster Session 6
Kuldeep S Meel · Yash Pote · Sourav Chakraborty
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1597
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks
In Poster Session 6
Alexander Shekhovtsov · Viktor Yanush · Boris Flach
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1598
Deep Direct Likelihood Knockoffs
In Poster Session 6
Mukund Sudarshan · Wesley Tansey · Rajesh Ranganath
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1599
Generalised Bayesian Filtering via Sequential Monte Carlo
In Poster Session 6
Ayman Boustati · Omer Deniz Akyildiz · Theodoros Damoulas · Adam Johansen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1600
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests
In Poster Session 6
Sean Kulinski · Saurabh Bagchi · David Inouye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1601
Bayesian Optimization of Risk Measures
In Poster Session 6
Sait Cakmak · Raul Astudillo · Peter Frazier · Enlu Zhou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1602
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
In Poster Session 6
Samuel Daulton · Maximilian Balandat · Eytan Bakshy
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1603
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo
In Poster Session 6
ZHIYAN DING · Qin Li
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1604
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
In Poster Session 6
Wei Deng · Guang Lin · Faming Liang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1605
Sequential Bayesian Experimental Design with Variable Cost Structure
In Poster Session 6
Sue Zheng · David Hayden · Jason Pacheco · John Fisher III
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1606
Asymptotically Optimal Exact Minibatch Metropolis-Hastings
In Poster Session 6
Ruqi Zhang · A. Feder Cooper · Christopher De Sa
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1607
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm
In Poster Session 6
Adil Salim · Peter Richtarik
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1608
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
In Poster Session 6
Rui Luo · Qiang Zhang · Yaodong Yang · Jun Wang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1609
Stein Self-Repulsive Dynamics: Benefits From Past Samples
In Poster Session 6
Mao Ye · Tongzheng Ren · Qiang Liu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1610
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
In Poster Session 6
Aman Sinha · Matthew O'Kelly · Russ Tedrake · John Duchi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1611
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
In Poster Session 6
Anthony Tompkins · Rafael Oliveira · Fabio Ramos
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1612
Bootstrapping neural processes
In Poster Session 6
Juho Lee · Yoonho Lee · Jungtaek Kim · Eunho Yang · Sung Ju Hwang · Yee Whye Teh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1613
Sparse Learning with CART
In Poster Session 6
Jason Klusowski
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1614
Smooth And Consistent Probabilistic Regression Trees
In Poster Session 6
Sami Alkhoury · Emilie Devijver · Marianne Clausel · Myriam Tami · Eric Gaussier · georges Oppenheim
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1615
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
In Poster Session 6
Jeremiah Liu · Zi Lin · Shreyas Padhy · Dustin Tran · Tania Bedrax Weiss · Balaji Lakshminarayanan
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1616
Bayesian Deep Ensembles via the Neural Tangent Kernel
In Poster Session 6
Bobby He · Balaji Lakshminarayanan · Yee Whye Teh
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1617
Predictive inference is free with the jackknife+-after-bootstrap
In Poster Session 6
Byol Kim · Chen Xu · Rina Barber
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1618
Hyperparameter Ensembles for Robustness and Uncertainty Quantification
In Poster Session 6
Florian Wenzel · Jasper Snoek · Dustin Tran · Rodolphe Jenatton
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1619
Depth Uncertainty in Neural Networks
In Poster Session 6
Javier Antorán · James Allingham · José Miguel Hernández-Lobato
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1620
A Bayesian Perspective on Training Speed and Model Selection
In Poster Session 6
Clare Lyle · Lisa Schut · Robin Ru · Yarin Gal · Mark van der Wilk
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1621
Learning under Model Misspecification: Applications to Variational and Ensemble methods
In Poster Session 6
Andres Masegosa
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1622
Counterfactual Predictions under Runtime Confounding
In Poster Session 6
Amanda Coston · Edward Kennedy · Alexandra Chouldechova
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1623
Matérn Gaussian Processes on Riemannian Manifolds
In Poster Session 6
Viacheslav Borovitskiy · Alexander Terenin · Peter Mostowsky · Marc Deisenroth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1624
Stationary Activations for Uncertainty Calibration in Deep Learning
In Poster Session 6
Lassi Meronen · Christabella Irwanto · Arno Solin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1625
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters
In Poster Session 6
Sulin Liu · Xingyuan Sun · Peter J Ramadge · Ryan Adams
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1626
On the Expressiveness of Approximate Inference in Bayesian Neural Networks
In Poster Session 6
Andrew Foong · David Burt · Yingzhen Li · Richard Turner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1627
The Strong Screening Rule for SLOPE
In Poster Session 6
Johan Larsson · Malgorzata Bogdan · Jonas Wallin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1628
Co-exposure Maximization in Online Social Networks
In Poster Session 6
Sijing Tu · Cigdem Aslay · Aristides Gionis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1629
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev
In Poster Session 6
Xiao Wang · Qi Lei · Ioannis Panageas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1630
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
In Poster Session 6
Giorgos ('Yorgos') Mamakoukas · Orest Xherija · Todd Murphey
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1631
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
In Poster Session 6
Luca De Gennaro Aquino · Stephan Eckstein
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1632
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
In Poster Session 6
Tong Chen · Jean Lasserre · Victor Magron · Edouard Pauwels
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1633
Parabolic Approximation Line Search for DNNs
In Poster Session 6
Maximus Mutschler · Andreas Zell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1634
Batch normalization provably avoids ranks collapse for randomly initialised deep networks
In Poster Session 6
Hadi Daneshmand · Jonas Kohler · Francis Bach · Thomas Hofmann · Aurelien Lucchi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1635
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization
In Poster Session 6
Xuefeng GAO · Mert Gurbuzbalaban · Lingjiong Zhu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1636
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
In Poster Session 6
Jianyu Wang · Qinghua Liu · Hao Liang · Gauri Joshi · H. Vincent Poor
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1637
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices
In Poster Session 6
John Duchi · Oliver Hinder · Andrew Naber · Yinyu Ye
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1638
A mean-field analysis of two-player zero-sum games
In Poster Session 6
Carles Domingo-Enrich · Samy Jelassi · Arthur Mensch · Grant Rotskoff · Joan Bruna
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1639
Robust Federated Learning: The Case of Affine Distribution Shifts
In Poster Session 6
Amirhossein Reisizadeh · Farzan Farnia · Ramtin Pedarsani · Ali Jadbabaie
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1640
Learning compositional functions via multiplicative weight updates
In Poster Session 6
Jeremy Bernstein · Jiawei Zhao · Markus Meister · Ming-Yu Liu · Anima Anandkumar · Yisong Yue
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1641
Stochastic Optimization for Performative Prediction
In Poster Session 6
Celestine Mendler-Dünner · Juan Perdomo · Tijana Zrnic · Moritz Hardt
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1642
Conformal Symplectic and Relativistic Optimization
In Poster Session 6
Guilherme Franca · Jeremias Sulam · Daniel Robinson · Rene Vidal
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1643
On Power Laws in Deep Ensembles
In Poster Session 6
Ekaterina Lobacheva · Nadezhda Chirkova · Maxim Kodryan · Dmitry Vetrov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1644
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
In Poster Session 6
Guilin Li · Junlei Zhang · Yunhe Wang · Chuanjian Liu · Matthias Tan · Yunfeng Lin · Wei Zhang · Jiashi Feng · Tong Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1645
Bayesian Deep Learning and a Probabilistic Perspective of Generalization
In Poster Session 6
Andrew Wilson · Pavel Izmailov
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1646
Self-Distillation as Instance-Specific Label Smoothing
In Poster Session 6
Zhilu Zhang · Mert Sabuncu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1647
On the training dynamics of deep networks with $L_2$ regularization
In Poster Session 6
Aitor Lewkowycz · Guy Gur-Ari
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1648
Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate
In Poster Session 6
Zhiyuan Li · Kaifeng Lyu · Sanjeev Arora
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1649
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks
In Poster Session 6
Soham De · Sam Smith
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1650
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
In Poster Session 6
Julius Berner · Markus Dablander · Philipp Grohs
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1651
Bad Global Minima Exist and SGD Can Reach Them
In Poster Session 6
Shengchao Liu · Dimitris Papailiopoulos · Dimitris Achlioptas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1652
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks
In Poster Session 6
Wei Hu · Lechao Xiao · Ben Adlam · Jeffrey Pennington
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1653
Ensemble Distillation for Robust Model Fusion in Federated Learning
In Poster Session 6
Tao Lin · Lingjing Kong · Sebastian Stich · Martin Jaggi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1654
On Warm-Starting Neural Network Training
In Poster Session 6
Jordan Ash · Ryan Adams
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1655
Predicting Training Time Without Training
In Poster Session 6
Luca Zancato · Alessandro Achille · Avinash Ravichandran · Rahul Bhotika · Stefano Soatto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1656
Directional convergence and alignment in deep learning
In Poster Session 6
Ziwei Ji · Matus Telgarsky
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1657
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
In Poster Session 6
Antonio Barbalau · Adrian Cosma · Radu Tudor Ionescu · Marius Popescu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1658
Consistent feature selection for analytic deep neural networks
In Poster Session 6
Vu Dinh · Lam Ho
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1659
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms
In Poster Session 6
Sascha Saralajew · Lars Holdijk · Thomas Villmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1660
Sampling from a k-DPP without looking at all items
In Poster Session 6
Daniele Calandriello · Michal Derezinski · Michal Valko
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1661
Optimal Learning from Verified Training Data
In Poster Session 6
Nicholas Bishop · Long Tran-Thanh · Enrico Gerding
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1662
Empirical Likelihood for Contextual Bandits
In Poster Session 6
Nikos Karampatziakis · John Langford · Paul Mineiro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1663
Sufficient dimension reduction for classification using principal optimal transport direction
In Poster Session 6
Cheng Meng · Jun Yu · Jingyi Zhang · Ping Ma · Wenxuan Zhong
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1664
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning
In Poster Session 6
Giulia Denevi · Massimiliano Pontil · Carlo Ciliberto
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1665
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
In Poster Session 6
Ignavier Ng · AmirEmad Ghassami · Kun Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1666
Listening to Sounds of Silence for Speech Denoising
In Poster Session 6
Ruilin Xu · Rundi Wu · Yuko Ishiwaka · Carl Vondrick · Changxi Zheng
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1667
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction
In Poster Session 6
Ziqi Ke · Haris Vikalo
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1668
Geometric All-way Boolean Tensor Decomposition
In Poster Session 6
Changlin Wan · Wennan Chang · Tong Zhao · Sha Cao · Chi Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1669
A novel variational form of the Schatten-$p$ quasi-norm
In Poster Session 6
Paris Giampouras · Rene Vidal · Athanasios Rontogiannis · Benjamin Haeffele
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1670
Distributionally Robust Parametric Maximum Likelihood Estimation
In Poster Session 6
Viet Anh Nguyen · Xuhui Zhang · Jose Blanchet · Angelos Georghiou
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1671
Adaptive Probing Policies for Shortest Path Routing
In Poster Session 6
Aditya Bhaskara · Sreenivas Gollapudi · Kostas Kollias · Kamesh Munagala
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1672
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions
In Poster Session 6
Alessandro Epasto · Mohammad Mahdian · Vahab Mirrokni · Emmanouil Zampetakis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1673
Content Provider Dynamics and Coordination in Recommendation Ecosystems
In Poster Session 6
Omer Ben-Porat · Itay Rosenberg · Moshe Tennenholtz
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1674
Non-parametric Models for Non-negative Functions
In Poster Session 6
Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1675
Program Synthesis with Pragmatic Communication
In Poster Session 6
Yewen Pu · Kevin Ellis · Marta Kryven · Josh Tenenbaum · Armando Solar-Lezama
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1676
Detecting Interactions from Neural Networks via Topological Analysis
In Poster Session 6
Zirui Liu · Qingquan Song · Kaixiong Zhou · Ting-Hsiang Wang · Ying Shan · Xia Hu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1677
Learning efficient task-dependent representations with synaptic plasticity
In Poster Session 6
Colin Bredenberg · Eero Simoncelli · Cristina Savin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1678
Modeling Shared responses in Neuroimaging Studies through MultiView ICA
In Poster Session 6
Hugo Richard · Luigi Gresele · Aapo Hyvarinen · Bertrand Thirion · Alexandre Gramfort · Pierre Ablin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1679
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​
In Poster Session 6
Shreyas Fadnavis · Joshua Batson · Eleftherios Garyfallidis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1680
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
In Poster Session 6
Bastian Rieck · Tristan Yates · Christian Bock · Karsten Borgwardt · Guy Wolf · Nicholas Turk-Browne · Smita Krishnaswamy
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1681
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
In Poster Session 6
Shailee Jain · Vy Vo · Shivangi Mahto · Amanda LeBel · Javier Turek · Alexander Huth
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1682
Learning abstract structure for drawing by efficient motor program induction
In Poster Session 6
Lucas Tian · Kevin Ellis · Marta Kryven · Josh Tenenbaum
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1683
Mutual exclusivity as a challenge for deep neural networks
In Poster Session 6
Kanishk Gandhi · Brenden Lake
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1684
Gibbs Sampling with People
In Poster Session 6
Peter Harrison · Raja Marjieh · Federico G Adolfi · Pol van Rijn · Manuel Anglada-Tort · Ofer Tchernichovski · Pauline Larrouy-Maestri · Nori Jacoby
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1685
Learning sparse codes from compressed representations with biologically plausible local wiring constraints
In Poster Session 6
Kion Fallah · Adam A Willats · Ninghao Liu · Christopher Rozell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1686
Shared Space Transfer Learning for analyzing multi-site fMRI data
In Poster Session 6
Tony Muhammad Yousefnezhad · Alessandro Selvitella · Daoqiang Zhang · Andrew Greenshaw · Russell Greiner
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1687
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
In Poster Session 6
Mariya Toneva · Otilia Stretcu · Barnabas Poczos · Leila Wehbe · Tom Mitchell
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1688
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
In Poster Session 6
Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1689
An Unsupervised Information-Theoretic Perceptual Quality Metric
In Poster Session 6
Sangnie Bhardwaj · Ian Fischer · Johannes Ballé · Troy Chinen
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1690
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
In Poster Session 6
Robert Geirhos · Kristof Meding · Felix A. Wichmann
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1691
CoMIR: Contrastive Multimodal Image Representation for Registration
In Poster Session 6
Nicolas Pielawski · Elisabeth Wetzer · Johan Öfverstedt · Jiahao Lu · Carolina Wählby · Joakim Lindblad · Natasa Sladoje
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1692
CrossTransformers: spatially-aware few-shot transfer
In Poster Session 6
Carl Doersch · Ankush Gupta · Andrew Zisserman
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1693
Contrastive learning of global and local features for medical image segmentation with limited annotations
In Poster Session 6
Krishna Chaitanya · Ertunc Erdil · Neerav Karani · Ender Konukoglu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1694
3D Self-Supervised Methods for Medical Imaging
In Poster Session 6
Aiham Taleb · Winfried Loetzsch · Noel Danz · Julius Severin · Thomas Gaertner · Benjamin Bergner · Christoph Lippert
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1695
Unsupervised Learning of Dense Visual Representations
In Poster Session 6
Pedro O. Pinheiro · Amjad Almahairi · Ryan Benmalek · Florian Golemo · Aaron Courville
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1696
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
In Poster Session 6
Senthil Purushwalkam · Abhinav Gupta
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1697
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
In Poster Session 6
Jean-Bastien Grill · Florian Strub · Florent Altché · Corentin Tallec · Pierre Richemond · Elena Buchatskaya · Carl Doersch · Bernardo Avila Pires · Daniel (Zhaohan) Guo · Mohammad Gheshlaghi Azar · Bilal Piot · koray kavukcuoglu · Remi Munos · Michal Valko
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1698
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
In Poster Session 6
Mathilde Caron · Ishan Misra · Julien Mairal · Priya Goyal · Piotr Bojanowski · Armand Joulin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1699
LoCo: Local Contrastive Representation Learning
In Poster Session 6
Yuwen Xiong · Mengye Ren · Raquel Urtasun
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1700
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs
In Poster Session 6
Lin Liu · Shanxin Yuan · Jianzhuang Liu · Liping Bao · Gregory Slabaugh · Qi Tian
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1701
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
In Poster Session 6
Yaochen Xie · Zhengyang Wang · Shuiwang Ji
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1702
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
In Poster Session 6
Haoliang Li · Yufei Wang · Renjie Wan · Shiqi Wang · Tie-Qiang Li · Alex Kot
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1703
Differentiable Augmentation for Data-Efficient GAN Training
In Poster Session 6
Shengyu Zhao · Zhijian Liu · Ji Lin · Jun-Yan Zhu · Song Han
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1704
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
In Poster Session 6
Zeyi Huang · Yang Zou · B. V. K. Vijaya Kumar · Dong Huang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1705
ContraGAN: Contrastive Learning for Conditional Image Generation
In Poster Session 6
Minguk Kang · Jaesik Park
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1706
Inverting Gradients - How easy is it to break privacy in federated learning?
In Poster Session 6
Jonas Geiping · Hartmut Bauermeister · Hannah Dröge · Michael Moeller
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1707
Principal Neighbourhood Aggregation for Graph Nets
In Poster Session 6
Gabriele Corso · Luca Cavalleri · Dominique Beaini · Pietro Liò · Petar Veličković
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1708
Learning Graph Structure With A Finite-State Automaton Layer
In Poster Session 6
Daniel D. Johnson · Hugo Larochelle · Danny Tarlow
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1709
Graph Cross Networks with Vertex Infomax Pooling
In Poster Session 6
Maosen Li · Siheng Chen · Ya Zhang · Ivor Tsang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1710
How hard is to distinguish graphs with graph neural networks?
In Poster Session 6
Andreas Loukas
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1711
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings
In Poster Session 6
Christopher Morris · Gaurav Rattan · Petra Mutzel
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1712
COPT: Coordinated Optimal Transport on Graphs
In Poster Session 6
Yihe Dong · Will Sawin
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1713
Building powerful and equivariant graph neural networks with structural message-passing
In Poster Session 6
Clément Vignac · Andreas Loukas · Pascal Frossard
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1714
Rethinking pooling in graph neural networks
In Poster Session 6
Diego Mesquita · Amauri Souza · Samuel Kaski
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1715
Random Walk Graph Neural Networks
In Poster Session 6
Giannis Nikolentzos · Michalis Vazirgiannis
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1716
Path Integral Based Convolution and Pooling for Graph Neural Networks
In Poster Session 6
Zheng Ma · Junyu Xuan · Yuguang Wang · Ming Li · Pietro Liò
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1717
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
In Poster Session 6
Yu (Hugo) Chen · Lingfei Wu · Mohammed Zaki
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1718
Towards Deeper Graph Neural Networks with Differentiable Group Normalization
In Poster Session 6
Kaixiong Zhou · Xiao Huang · Yuening Li · Daochen Zha · Rui Chen · Xia Hu
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1719
Graphon Neural Networks and the Transferability of Graph Neural Networks
In Poster Session 6
Luana Ruiz · Luiz Chamon · Alejandro Ribeiro
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1720
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs
In Poster Session 6
Nicolas Keriven · Alberto Bietti · Samuel Vaiter
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1721
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
In Poster Session 6
Xiang Zhang · Marinka Zitnik
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1722
Parameterized Explainer for Graph Neural Network
In Poster Session 6
Dongsheng Luo · Wei Cheng · Dongkuan Xu · Wenchao Yu · Bo Zong · Haifeng Chen · Xiang Zhang
[ Paper ]
Poster
Thu Dec 10 09:00 AM -- 11:00 AM (PST) @ Poster Session 5 #1831
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning
In Poster Session 6
Nathan Kallus · Angela Zhou
[ Paper ]