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