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Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #291
Model Fusion via Optimal Transport
Sidak Pal Singh · Martin Jaggi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #746
What if Neural Networks had SVDs?
Alexander Mathiasen · Frederik Hvilshøj · Jakob Rødsgaard Jørgensen · Anshul Nasery · Davide Mottin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #747
Understanding and Improving Fast Adversarial Training
Maksym Andriushchenko · Nicolas Flammarion
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #748
Posterior Re-calibration for Imbalanced Datasets
Junjiao Tian · Yen-Cheng Liu · Nathaniel Glaser · Yen-Chang Hsu · Zsolt Kira
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #749
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout
Zhao Chen · Jiquan Ngiam · Yanping Huang · Thang Luong · Henrik Kretzschmar · Yuning Chai · Dragomir Anguelov
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #750
GCN meets GPU: Decoupling “When to Sample” from “How to Sample”
Morteza Ramezani · Weilin Cong · Mehrdad Mahdavi · Anand Sivasubramaniam · Mahmut Kandemir
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #751
Improving model calibration with accuracy versus uncertainty optimization
Ranganath Krishnan · Omesh Tickoo
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #752
Deep Evidential Regression
Alexander Amini · Wilko Schwarting · Ava P Soleimany · Daniela Rus
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #753
Practical Quasi-Newton Methods for Training Deep Neural Networks
Donald Goldfarb · Yi Ren · Achraf Bahamou
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #754
Ultra-Low Precision 4-bit Training of Deep Neural Networks
Xiao Sun · Naigang Wang · Chia-Yu Chen · Jiamin Ni · Ankur Agrawal · Xiaodong Cui · Swagath Venkataramani · Kaoutar El Maghraoui · Vijayalakshmi (Viji) Srinivasan · Kailash Gopalakrishnan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #755
Improving Neural Network Training in Low Dimensional Random Bases
Frithjof Gressmann · Zach Eaton-Rosen · Carlo Luschi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #756
Bandit Samplers for Training Graph Neural Networks
Ziqi Liu · Zhengwei Wu · Zhiqiang Zhang · Jun Zhou · Shuang Yang · Le Song · Yuan Qi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #757
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Chia-Yu Chen · Jiamin Ni · Songtao Lu · Xiaodong Cui · Pin-Yu Chen · Xiao Sun · Naigang Wang · Swagath Venkataramani · Vijayalakshmi (Viji) Srinivasan · Wei Zhang · Kailash Gopalakrishnan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #758
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation
Yogesh Balaji · Rama Chellappa · Soheil Feizi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #759
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods
Laurence Aitchison
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #760
MomentumRNN: Integrating Momentum into Recurrent Neural Networks
Tan Nguyen · Richard Baraniuk · Andrea Bertozzi · Stanley Osher · Bao Wang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #761
Why are Adaptive Methods Good for Attention Models?
Jingzhao Zhang · Sai Praneeth Karimireddy · Andreas Veit · Seungyeon Kim · Sashank Reddi · Sanjiv Kumar · Suvrit Sra
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #762
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
Zhining Liu · Pengfei Wei · Jing Jiang · Wei Cao · Jiang Bian · Yi Chang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #763
Dark Experience for General Continual Learning: a Strong, Simple Baseline
Pietro Buzzega · Matteo Boschini · Angelo Porrello · Davide Abati · SIMONE CALDERARA
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #764
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning
Riccardo Del Chiaro · Bartłomiej Twardowski · Andrew D Bagdanov · Joost van de Weijer
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #765
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks
Zixuan Ke · Bing Liu · Xingchang Huang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #766
Continual Deep Learning by Functional Regularisation of Memorable Past
Pingbo Pan · Siddharth Swaroop · Alexander Immer · Runa Eschenhagen · Richard Turner · Mohammad Emtiyaz Khan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #767
Look-ahead Meta Learning for Continual Learning
Gunshi Gupta · Karmesh Yadav · Liam Paull
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #768
A Combinatorial Perspective on Transfer Learning
Jianan Wang · Eren Sezener · David Budden · Marcus Hutter · Joel Veness
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #769
Continual Learning in Low-rank Orthogonal Subspaces
Arslan Chaudhry · Naeemullah Khan · Puneet Dokania · Philip Torr
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #770
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
Hung-Jen Chen · An-Chieh Cheng · Da-Cheng Juan · Wei Wei · Min Sun
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #771
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Massimo Caccia · Pau Rodriguez · Oleksiy Ostapenko · Fabrice Normandin · Min Lin · Lucas Page-Caccia · Issam Hadj Laradji · Irina Rish · Alexandre Lacoste · David Vázquez · Laurent Charlin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #772
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #773
Task-Robust Model-Agnostic Meta-Learning
Liam Collins · Aryan Mokhtari · Sanjay Shakkottai
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #774
Learning to Learn Variational Semantic Memory
Xiantong Zhen · Yingjun Du · Huan Xiong · Qiang Qiu · Cees Snoek · Ling Shao
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #775
Continuous Meta-Learning without Tasks
James Harrison · Apoorva Sharma · Chelsea Finn · Marco Pavone
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #776
Auxiliary Task Reweighting for Minimum-data Learning
Baifeng Shi · Judy Hoffman · Kate Saenko · Trevor Darrell · Huijuan Xu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #777
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
Mayalen Etcheverry · Clément Moulin-Frier · Pierre-Yves Oudeyer
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #778
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
Aude Sportisse · Claire Boyer · Julie Josse
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #779
PLANS: Neuro-Symbolic Program Learning from Videos
Raphaël Dang-Nhu · Raphaël Dang-Nhu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #780
Probabilistic Linear Solvers for Machine Learning
Jonathan Wenger · Philipp Hennig
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #781
A/B Testing in Dense Large-Scale Networks: Design and Inference
Preetam Nandy · Kinjal Basu · Shaunak Chatterjee · Ye Tu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #782
Dual Instrumental Variable Regression
Krikamol Muandet · Arash Mehrjou · Si Kai Lee · Anant Raj
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #783
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica · James Jordon · Mihaela van der Schaar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #784
Gradient Regularized V-Learning for Dynamic Treatment Regimes
Yao Zhang · Mihaela van der Schaar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #785
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #786
Causal Estimation with Functional Confounders
Aahlad Puli · Adler Perotte · Rajesh Ranganath
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #787
Counterfactual Prediction for Bundle Treatment
Hao Zou · Peng Cui · Bo Li · Zheyan Shen · Jianxin Ma · Hongxia Yang · Yue He
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #788
Minimax Estimation of Conditional Moment Models
Nishanth Dikkala · Greg Lewis · Lester Mackey · Vasilis Syrgkanis
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #789
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
Masatoshi Uehara · Masahiro Kato · Shota Yasui
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #790
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
Victor Veitch · Anisha Zaveri
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #791
Multi-task Causal Learning with Gaussian Processes
Virginia Aglietti · Theodoros Damoulas · Mauricio Álvarez · Javier González
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #792
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes · Evi Sijben · Ioan Gabriel Bucur · Tom Claassen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #793
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach
Amir-Hossein Karimi · Julius von Kügelgen · Bernhard Schölkopf · Isabel Valera
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #794
Compositional Generalization via Neural-Symbolic Stack Machines
Xinyun Chen · Chen Liang · Adams Wei Yu · Dawn Song · Denny Zhou
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #795
Learning Invariants through Soft Unification
Nuri Cingillioglu · Alessandra Russo
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #796
Linear Disentangled Representations and Unsupervised Action Estimation
Matthew Painter · Adam Prugel-Bennett · Jonathon Hare
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #797
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss · Tianyi Zhang · Ethan Elenberg · Kilian Weinberger
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #798
A Bayesian Nonparametrics View into Deep Representations
Michał Jamroż · Marcin Kurdziel · Mateusz Opala
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #799
Learning Invariances in Neural Networks from Training Data
Gregory Benton · Marc Finzi · Pavel Izmailov · Andrew Wilson
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #800
Inverse Learning of Symmetries
Mario Wieser · Sonali Parbhoo · Aleksander Wieczorek · Aleksander Wieczorek · Volker Roth
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #801
Post-training Iterative Hierarchical Data Augmentation for Deep Networks
Adil Khan · Khadija Fraz
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #802
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
Sajad Norouzi · David Fleet · Mohammad Norouzi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #803
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Amina Mollaysa · Brooks Paige · Brooks Paige · Alexandros Kalousis
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #804
CoSE: Compositional Stroke Embeddings
Emre Aksan · Thomas Deselaers · Andrea Tagliasacchi · Otmar Hilliges
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #805
A Causal View on Robustness of Neural Networks
Cheng Zhang · Kun Zhang · Yingzhen Li
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #806
Regularizing Towards Permutation Invariance In Recurrent Models
Edo Cohen-Karlik · Avichai Ben David · Amir Globerson
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #807
STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks
Meiyi Ma · Ji Gao · Lu Feng · John A Stankovic
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #808
Generative causal explanations of black-box classifiers
Matthew O'Shaughnessy · Gregory Canal · Marissa Connor · Christopher Rozell · Mark Davenport
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #809
Assessing SATNet's Ability to Solve the Symbol Grounding Problem
Oscar Chang · Lampros Flokas · Hod Lipson · Michael Spranger
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #810
Towards Better Generalization of Adaptive Gradient Methods
Yingxue Zhou · Belhal Karimi · Jinxing Yu · Zhiqiang Xu · Ping Li
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #811
Adam with Bandit Sampling for Deep Learning
Rui Liu · Tianyi Wu · Barzan Mozafari
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #812
Random Reshuffling: Simple Analysis with Vast Improvements
Konstantin Mishchenko · Konstantin Mishchenko · Ahmed Khaled Ragab Bayoumi · Peter Richtarik
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #813
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
Yu-Guan Hsieh · Franck Iutzeler · Jérôme Malick · Panayotis Mertikopoulos
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #814
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates
Kaiwen Zhou · Anthony Man-Cho So · James Cheng
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #815
A Catalyst Framework for Minimax Optimization
Junchi Yang · Siqi Zhang · Negar Kiyavash · Niao He · Niao He
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #816
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems
Junchi Yang · Negar Kiyavash · Niao He · Niao He
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #817
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
Panayotis Mertikopoulos · Nadav Hallak · Ali Kavis · Volkan Cevher
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #818
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function
Quoc Tran Dinh · Deyi Liu · Lam Nguyen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #819
An Improved Analysis of Stochastic Gradient Descent with Momentum
Yanli Liu · Yuan Gao · Wotao Yin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #820
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations
Kevin Scaman · Cedric Malherbe
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #821
Online Robust Regression via SGD on the l1 loss
Scott Pesme · Nicolas Flammarion
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #822
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping
Eduard Gorbunov · Marina Danilova · Alexander Gasnikov
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #823
Large-Scale Methods for Distributionally Robust Optimization
Daniel Levy · Yair Carmon · John Duchi · Aaron Sidford
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #824
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Dheeraj Nagaraj · Xian Wu · Guy Bresler · Prateek Jain · Praneeth Netrapalli
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #825
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
Luo Luo · Haishan Ye · Zhichao Huang · Tong Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #826
Provable Overlapping Community Detection in Weighted Graphs
Jimit Majmudar · Stephen Vavasis
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #827
Improving Inference for Neural Image Compression
Yibo Yang · Robert Bamler · Stephan Mandt
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #828
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning
Weili Nie · Zhiding Yu · Lei Mao · Ankit Patel · Yuke Zhu · Anima Anandkumar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #829
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
Giacomo Meanti · Luigi Carratino · Lorenzo Rosasco · Alessandro Rudi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #830
Discovering conflicting groups in signed networks
Ruo-Chun Tzeng · Bruno Ordozgoiti · Aristides Gionis
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #831
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
Guangmo Tong
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #832
Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah · Eric Zhan · Jennifer Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #833
Neural Execution Engines: Learning to Execute Subroutines
Yujun Yan · Kevin Swersky · Danai Koutra · Parthasarathy Ranganathan · Milad Hashemi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #834
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering
Raeid Saqur · Karthik Narasimhan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #835
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
Caglar Gulcehre · Ziyu Wang · Alexander Novikov · Thomas Paine · Sergio Gómez · Konrad Zolna · Rishabh Agarwal · Josh Merel · Daniel Mankowitz · Cosmin Paduraru · Gabriel Dulac-Arnold · Jerry Li · Mohammad Norouzi · Matthew Hoffman · Nicolas Heess · Nando de Freitas
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #836
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology
Mark Veillette · Siddharth Samsi · Chris Mattioli
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #837
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients
William Moses · Valentin Churavy
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #838
Fast geometric learning with symbolic matrices
Jean Feydy · Alexis Glaunès · Benjamin Charlier · Michael Bronstein
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #839
Synbols: Probing Learning Algorithms with Synthetic Datasets
Alexandre Lacoste · Pau Rodríguez López · Frederic Branchaud-Charron · Parmida Atighehchian · Massimo Caccia · Issam Hadj Laradji · Alexandre Drouin · Matthew Craddock · Laurent Charlin · David Vázquez
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #840
Evaluating Attribution for Graph Neural Networks
Benjamin Sanchez-Lengeling · Jennifer Wei · Brian Lee · Emily Reif · Peter Wang · Wesley Qian · Kevin McCloskey · Lucy Colwell · Alexander Wiltschko
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #841
Accelerating Reinforcement Learning through GPU Atari Emulation
Steven Dalton · iuri frosio
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #842
Adaptive Gradient Quantization for Data-Parallel SGD
Fartash Faghri · Iman Tabrizian · Ilia Markov · Dan Alistarh · Daniel Roy · Ali Ramezani-Kebrya
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #843
Universally Quantized Neural Compression
Eirikur Agustsson · Lucas Theis
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #844
Searching for Low-Bit Weights in Quantized Neural Networks
Zhaohui Yang · Yunhe Wang · Kai Han · Chunjing XU · Chao Xu · Dacheng Tao · Chang Xu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #845
Bayesian Bits: Unifying Quantization and Pruning
Mart van Baalen · Christos Louizos · Markus Nagel · Rana Ali Amjad · Ying Wang · Ying Wang · Tijmen Blankevoort · Max Welling
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #846
FleXOR: Trainable Fractional Quantization
Dongsoo Lee · Se Jung Kwon · Byeongwook Kim · Yongkweon Jeon · Baeseong Park · Jeongin Yun
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #847
Robust Quantization: One Model to Rule Them All
moran shkolnik · Moran Shkolnik · Brian Chmiel · Ron Banner · Gil Shomron · Yury Nahshan · Alex Bronstein · Uri Weiser
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #848
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
Jianfei Chen · Yu Gai · Zhewei Yao · Michael W Mahoney · Joseph Gonzalez
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #849
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
Andres Potapczynski · Gabriel Loaiza-Ganem · John Cunningham
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #850
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
Zhe Dong · Andriy Mnih · George Tucker
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #851
Efficient semidefinite-programming-based inference for binary and multi-class MRFs
Chirag Pabbaraju · Po-Wei Wang · J. Zico Kolter
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #852
Gradient Estimation with Stochastic Softmax Tricks
Max Paulus · Dami Choi · Daniel Tarlow · Andreas Krause · Chris J. Maddison
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #853
Quantized Variational Inference
Amir Dib
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #854
Approximation Based Variance Reduction for Reparameterization Gradients
Tomas Geffner · Justin Domke
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #855
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter · Ayman Boustati · Nikolas Nüsken · Francisco Ruiz · Omer Deniz Akyildiz · Omer Deniz Akyildiz
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #856
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds
Valentin Liévin · Andrea Dittadi · Anders Christensen · Ole Winther
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #857
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Qian Lou · Song Bian · Lei Jiang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #858
Group-Fair Online Allocation in Continuous Time
Semih Cayci · Swati Gupta · Atilla Eryilmaz
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #859
Fair Hierarchical Clustering
Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Benjamin Moseley · Philip Pham · Sergei Vassilvitskii · Yuyan Wang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #860
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models
Harikrishna Narasimhan · Andrew Cotter · Yichen Zhou · Serena Wang · Wenshuo Guo
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #861
Metric-Free Individual Fairness in Online Learning
Yahav Bechavod · Christopher Jung · Steven Wu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #862
Fair regression via plug-in estimator and recalibration with statistical guarantees
Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #863
Fair Multiple Decision Making Through Soft Interventions
Yaowei Hu · Yongkai Wu · Lu Zhang · Xintao Wu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #864
Intra-Processing Methods for Debiasing Neural Networks
Yash Savani · Colin White · Naveen Sundar Govindarajulu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #865
Ensuring Fairness Beyond the Training Data
Debmalya Mandal · Samuel Deng · Suman Jana · Jeannette Wing · Daniel Hsu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #866
Fair Performance Metric Elicitation
Gaurush Hiranandani · Harikrishna Narasimhan · Sanmi Koyejo
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #867
Fairness without Demographics through Adversarially Reweighted Learning
Preethi Lahoti · Alex Beutel · Jilin Chen · Kang Lee · Flavien Prost · Nithum Thain · Xuezhi Wang · Ed Chi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #868
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
Luca Oneto · Michele Donini · Giulia Luise · Carlo Ciliberto · Andreas Maurer · Massimiliano Pontil
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #869
How do fair decisions fare in long-term qualification?
Xueru Zhang · Ruibo Tu · Yang Liu · Mingyan Liu · Hedvig Kjellstrom · Kun Zhang · Cheng Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #870
Fair regression with Wasserstein barycenters
Evgenii Chzhen · Christophe Denis · Mohamed Hebiri · Luca Oneto · Massimiliano Pontil
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #871
Learning Certified Individually Fair Representations
Anian Ruoss · Mislav Balunovic · Marc Fischer · Martin Vechev
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #872
Fairness with Overlapping Groups; a Probabilistic Perspective
Forest Yang · Mouhamadou M Cisse · Sanmi Koyejo
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #873
Consistent Plug-in Classifiers for Complex Objectives and Constraints
Shiv Kumar Tavker · Harish Guruprasad Ramaswamy · Harikrishna Narasimhan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #874
Causal Discovery in Physical Systems from Videos
Yunzhu Li · Antonio Torralba · Anima Anandkumar · Dieter Fox · Animesh Garg
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #875
Causal Imitation Learning With Unobserved Confounders
Junzhe Zhang · Daniel Kumor · Elias Bareinboim
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #876
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus · Matt Kusner · Ricardo Silva
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #877
Active Invariant Causal Prediction: Experiment Selection through Stability
Juan Gamella · Christina Heinze-Deml
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #878
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning
Amin Jaber · Murat Kocaoglu · Murat Kocaoglu · Karthikeyan Shanmugam · Elias Bareinboim
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #879
Deep Structural Causal Models for Tractable Counterfactual Inference
Nick Pawlowski · Daniel Coelho de Castro · Ben Glocker
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #880
Reconsidering Generative Objectives For Counterfactual Reasoning
Danni Lu · Chenyang Tao · Junya Chen · Fan Li · Feng Guo · Lawrence Carin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #881
High-recall causal discovery for autocorrelated time series with latent confounders
Andreas Gerhardus · Jakob Runge
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #882
Applications of Common Entropy for Causal Inference
Murat Kocaoglu · Murat Kocaoglu · Sanjay Shakkottai · Alexandros Dimakis · Constantine Caramanis · Sriram Vishwanath
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #883
Entropic Causal Inference: Identifiability and Finite Sample Results
Spencer Compton · Murat Kocaoglu · Murat Kocaoglu · Kristjan Greenewald · Dmitriy Katz
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #884
General Transportability of Soft Interventions: Completeness Results
Juan Correa · Elias Bareinboim
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #885
Learning Causal Effects via Weighted Empirical Risk Minimization
Yonghan Jung · Jin Tian · Elias Bareinboim
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #886
Differentiable Causal Discovery from Interventional Data
Philippe Brouillard · Sébastien Lachapelle · Alexandre Lacoste · Simon Lacoste-Julien · Alexandre Drouin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #887
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
Feng Xie · Ruichu Cai · Biwei Huang · Clark Glymour · Zhifeng Hao · Kun Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #888
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks
Junsouk Choi · Robert Chapkin · Yang Ni
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #889
A polynomial-time algorithm for learning nonparametric causal graphs
Ming Gao · Yi Ding · Bryon Aragam
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #890
Linear Time Sinkhorn Divergences using Positive Features
Meyer Scetbon · Marco Cuturi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #891
Learning Kernel Tests Without Data Splitting
Jonas M. Kübler · Wittawat Jitkrittum · Bernhard Schölkopf · Krikamol Muandet
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #892
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces
Akash Saha · Balamurugan Palaniappan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #893
A kernel test for quasi-independence
Tamara Fernandez · Wenkai Xu · Marc Ditzhaus · Arthur Gretton
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #894
Hard Shape-Constrained Kernel Machines
Pierre-Cyril Aubin-Frankowski · Zoltan Szabo
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #895
Statistical Optimal Transport posed as Learning Kernel Embedding
Saketha Nath Jagarlapudi · Pratik Kumar Jawanpuria
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #896
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search
Linnan Wang · Rodrigo Fonseca · Yuandong Tian
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #897
Continuous Regularized Wasserstein Barycenters
Lingxiao Li · Aude Genevay · Mikhail Yurochkin · Justin M Solomon
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #898
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
Hicham Janati · Boris Muzellec · Gabriel Peyré · Marco Cuturi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #899
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
Shibo Li · Wei Xing · Robert Kirby · Shandian Zhe
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #900
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
Ben Letham · Roberto Calandra · Akshara Rai · Eytan Bakshy
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #901
Hybrid Models for Learning to Branch
Prateek Gupta · Maxime Gasse · Elias Khalil · Pawan K Mudigonda · Andrea Lodi · Yoshua Bengio
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #902
Interior Point Solving for LP-based prediction+optimisation
Jayanta Mandi · Tias Guns
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #903
Curriculum learning for multilevel budgeted combinatorial problems
Adel Nabli · Margarida Carvalho
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #904
BOSS: Bayesian Optimization over String Spaces
Henry Moss · David Leslie · Daniel Beck · Javier González · Paul Rayson
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #905
An implicit function learning approach for parametric modal regression
Yangchen Pan · Ehsan Imani · Amir-massoud Farahmand · Martha White
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #906
Adversarial Example Games
Joey Bose · Gauthier Gidel · Hugo Berard · Andre Cianflone · Pascal Vincent · Simon Lacoste-Julien · Will Hamilton
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #907
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang · Tianlong Chen · Ting Chen · Zhangyang Wang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #908
Provably Robust Metric Learning
Lu Wang · Xuanqing Liu · Jinfeng Yi · Yuan Jiang · Cho-Jui Hsieh
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #909
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses
Ambar Pal · Rene Vidal
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #910
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
Kevin Roth · Yannic Kilcher · Thomas Hofmann
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #911
Adversarial Robustness of Supervised Sparse Coding
Jeremias Sulam · Ramchandran Muthukumar · Raman Arora
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #912
Boosting Adversarial Training with Hypersphere Embedding
Tianyu Pang · Xiao Yang · Yinpeng Dong · Kun Xu · Jun Zhu · Hang Su
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #913
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
Chen Liu · Mathieu Salzmann · Tao Lin · Ryota Tomioka · Sabine Süsstrunk
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #914
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Huanrui Yang · Jingyang Zhang · Hongliang Dong · Nathan Inkawhich · Andrew Gardner · Andrew Touchet · Wesley Wilkes · Heath Berry · Hai Li
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #915
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
Hongyi Wang · Kartik Sreenivasan · Shashank Rajput · Harit Vishwakarma · Saurabh Agarwal · Jy-yong Sohn · Kangwook Lee · Dimitris Papailiopoulos
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #916
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach
Micah Goldblum · Liam Fowl · Tom Goldstein
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #917
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Gaurang Sriramanan · Sravanti Addepalli · Arya Baburaj · Arya Baburaj · Venkatesh Babu R
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #918
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability
Nathan Inkawhich · Kevin J Liang · Binghui Wang · Matthew Inkawhich · Lawrence Carin · Yiran Chen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #919
Robustness of Bayesian Neural Networks to Gradient-Based Attacks
Ginevra Carbone · Ginevra Carbone · Matthew Wicker · Luca Laurenti · Andrea Patane' · Luca Bortolussi · Guido Sanguinetti
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #920
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang · Hongge Chen · Hongge Chen · Chaowei Xiao · Bo Li · Mingyan Liu · Duane Boning · Cho-Jui Hsieh
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #921
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramer · Nicholas Carlini · Wieland Brendel · Aleksander Madry
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #922
High-Fidelity Generative Image Compression
Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #923
Attribute Prototype Network for Zero-Shot Learning
Wenjia Xu · Yongqin Xian · Jiuniu Wang · Bernt Schiele · Zeynep Akata
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #924
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
Itai Gat · Idan Schwartz · Alexander Schwing · Tamir Hazan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #925
Variational Interaction Information Maximization for Cross-domain Disentanglement
HyeongJoo Hwang · Geon-Hyeong Kim · Seunghoon Hong · Kee-Eung Kim
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #926
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Huan Fu · Shunming Li · Rongfei Jia · Mingming Gong · Binqiang Zhao · Dacheng Tao
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #927
Few-shot Image Generation with Elastic Weight Consolidation
Yijun Li · Richard Zhang · Jingwan (Cynthia) Lu · Eli Shechtman
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #928
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
yaxing wang · Lu Yu · Joost van de Weijer
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #929
Generating Correct Answers for Progressive Matrices Intelligence Tests
Niv Pekar · Yaniv Benny · Lior Wolf
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #930
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars
Tiziano Portenier · Siavash Arjomand Bigdeli · Orcun Goksel
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #931
Network-to-Network Translation with Conditional Invertible Neural Networks
Robin Rombach · Patrick Esser · Bjorn Ommer
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #932
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
Bowen Li · Xiaojuan Qi · Philip Torr · Thomas Lukasiewicz
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #933
Instance Selection for GANs
Terrance DeVries · Michal Drozdzal · Graham Taylor
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #934
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina · Ruth Fong · Andrea Vedaldi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #935
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
Cher Bass · Mariana da Silva · Carole Sudre · Petru-Daniel Tudosiu · Stephen Smith · Emma Robinson
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #936
Smoothed Geometry for Robust Attribution
Zifan Wang · Haofan Wang · Haofan Wang · Shakul Ramkumar · Piotr Mardziel · Matt Fredrikson · Anupam Datta
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #937
Neural Networks with Recurrent Generative Feedback
Yujia Huang · James Gornet · Sihui Dai · Zhiding Yu · Tan Nguyen · Doris Tsao · Anima Anandkumar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #938
COT-GAN: Generating Sequential Data via Causal Optimal Transport
Tianlin Xu · Li Kevin Wenliang · Michael Munn · Beatrice Acciaio
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #939
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA
Ilyes Khemakhem · Ricardo Monti · Diederik Kingma · Aapo Hyvarinen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #940
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control
Yaofeng Desmond Zhong · Yaofeng Desmond Zhong · Naomi Leonard
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #941
Implicit Rank-Minimizing Autoencoder
Li Jing · Jure Zbontar · yann lecun
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #942
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data
Utkarsh Ojha · Krishna Kumar Singh · Cho-Jui Hsieh · Yong Jae Lee
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #943
Set2Graph: Learning Graphs From Sets
Hadar Serviansky · Nimrod Segol · Jonathan Shlomi · Kyle Cranmer · Eilam Gross · Haggai Maron · Yaron Lipman
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #944
Efficient Generation of Structured Objects with Constrained Adversarial Networks
Luca Di Liello · Pierfrancesco Ardino · Jacopo Gobbi · Paolo Morettin · Stefano Teso · Andrea Passerini
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #945
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
Yue Wu · Yue Wu · Pan Zhou · Andrew Wilson · Eric Xing · Zhiting Hu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #946
Regularized linear autoencoders recover the principal components, eventually
Xuchan Bao · Xuchan Bao · James Lucas · Sushant Sachdeva · Roger Grosse
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #947
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud · Ismail Ceylan · Thomas Lukasiewicz · Tommaso Salvatori
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #948
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
Thu Nguyen-Phuoc · Christian Richardt · Long Mai · Long Mai · Yongliang Yang · Niloy Mitra
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #949
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views
Nanbo Li · Cian Eastwood · Robert Fisher
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #950
Deep Statistical Solvers
Balthazar Donon · Zhengying Liu · Wenzhuo LIU · Isabelle Guyon · Antoine Marot · Marc Schoenauer
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #951
Learning of Discrete Graphical Models with Neural Networks
Abhijith Jayakumar · Andrey Lokhov · Sidhant Misra · Marc Vuffray
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #952
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity
Gonçalo Correia · Vlad Niculae · Wilker Aziz · André Martins
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #953
Falcon: Fast Spectral Inference on Encrypted Data
Qian Lou · Wen-jie Lu · Cheng Hong · Lei Jiang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #954
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Kiwon Um · Robert Brand · Yun (Raymond) Fei · Philipp Holl · Nils Thuerey
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #955
Learning Composable Energy Surrogates for PDE Order Reduction
Alex Beatson · Jordan Ash · Geoffrey Roeder · Tianju Xue · Ryan Adams
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #956
AvE: Assistance via Empowerment
Yuqing Du · Stas Tiomkin · Emre Kiciman · Daniel Polani · Pieter Abbeel · Anca Dragan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #957
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints
Sachin Chauhan · Kashish Bansal · Rijurekha Sen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #958
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist
Chaochao Yan · Qianggang Ding · Peilin Zhao · Shuangjia Zheng · JINYU YANG · Yang Yu · Junzhou Huang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #959
Barking up the right tree: an approach to search over molecule synthesis DAGs
John Bradshaw · Brooks Paige · Brooks Paige · Matt Kusner · Marwin Segler · José Miguel Hernández-Lobato
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #960
Synthesizing Tasks for Block-based Programming
Umair Ahmed · Maria Christakis · Aleksandr Efremov · Nigel Fernandez · Ahana Ghosh · Abhik Roychoudhury · Adish Singla
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #961
Deep Imitation Learning for Bimanual Robotic Manipulation
Fan Xie · Alexander Chowdhury · M. Clara De Paolis Kaluza · Linfeng Zhao · Lawson Wong · Rose Yu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #962
PRANK: motion Prediction based on RANKing
Yuriy Biktairov · Maxim Stebelev · Irina Rudenko · Oleh Shliazhko · Boris Yangel
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #963
Meta-trained agents implement Bayes-optimal agents
Vladimir Mikulik · Grégoire Delétang · Tom McGrath · Tim Genewein · Miljan Martic · Shane Legg · Pedro Ortega
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #964
On the equivalence of molecular graph convolution and molecular wave function with poor basis set
Masashi Tsubaki · Teruyasu Mizoguchi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #965
Dynamic allocation of limited memory resources in reinforcement learning
Nisheet Patel · Luigi Acerbi · Alexandre Pouget
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #966
Ensembling geophysical models with Bayesian Neural Networks
Ushnish Sengupta · Matt Amos · Scott Hosking · Carl Edward Rasmussen · Matthew Juniper · Paul Young
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #967
Neurosymbolic Transformers for Multi-Agent Communication
Jeevana Priya Inala · Yichen Yang · James Paulos · Yewen Pu · Yewen Pu · Osbert Bastani · Vijay Kumar · Martin Rinard · Armando Solar-Lezama
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #968
Avoiding Side Effects By Considering Future Tasks
Victoria Krakovna · Laurent Orseau · Richard Ngo · Miljan Martic · Shane Legg
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #969
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes
Herman Yau · Chris Russell · Simon Hadfield
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #970
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals
Jing Shi · Xuankai Chang · Pengcheng Guo · Shinji Watanabe · Yusuke Fujita · Jiaming Xu · Bo Xu · Lei Xie
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #971
Learning Mutational Semantics
Brian Hie · Ellen Zhong · Bryan Bryson · Bonnie Berger
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #972
Zero-Resource Knowledge-Grounded Dialogue Generation
Linxiao Li · Can Xu · Wei Wu · YUFAN ZHAO · Xueliang Zhao · Chongyang Tao
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #973
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment
Yuan Chen · Donglin Zeng · Tianchen Xu · Yuanjia Wang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #974
Causal analysis of Covid-19 Spread in Germany
Atalanti Mastakouri · Atalanti Mastakouri · Bernhard Schölkopf
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #975
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains
Ervine Zheng · Qi Yu · Rui Li · Pengcheng Shi · Anne Haake
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #976
X-CAL: Explicit Calibration for Survival Analysis
Mark Goldstein · Xintian Han · Aahlad Puli · Adler Perotte · Rajesh Ranganath
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #977
Experimental design for MRI by greedy policy search
Tim Bakker · Herke van Hoof · Max Welling
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #978
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?
Mrinank Sharma · Sören Mindermann · Jan Brauner · Gavin Leech · Anna Stephenson · Tomáš Gavenčiak · Jan Kulveit · Yee Whye Teh · Leonid Chindelevitch · Yarin Gal
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #979
OrganITE: Optimal transplant donor organ offering using an individual treatment effect
Jeroen Berrevoets · James Jordon · Ioana Bica · alexander gimson · Mihaela van der Schaar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #980
When Counterpoint Meets Chinese Folk Melodies
Nan Jiang · Sheng Jin · Sheng Jin · Zhiyao Duan · Changshui Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #981
BERT Loses Patience: Fast and Robust Inference with Early Exit
Wangchunshu Zhou · Canwen Xu · Tao Ge · Julian McAuley · Ke Xu · Furu Wei
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #982
Unsupervised Text Generation by Learning from Search
Jingjing Li · Zichao Li · Lili Mou · Xin Jiang · Michael Lyu · Irwin King
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #983
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Alon Talmor · Oyvind Tafjord · Peter Clark · Yoav Goldberg · Jonathan Berant
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #984
A Spectral Energy Distance for Parallel Speech Synthesis
Alexey Gritsenko · Tim Salimans · Rianne van den Berg · Jasper Snoek · Nal Kalchbrenner
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #985
Compositional Generalization by Learning Analytical Expressions
Qian Liu · Shengnan An · Jian-Guang Lou · Bei Chen · Zeqi Lin · Yan Gao · Bin Zhou · Nanning Zheng · Dongmei Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #986
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings
Junhyung Park · Krikamol Muandet
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #987
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
Arthur Jacot · Berfin Simsek · Francesco Spadaro · Clement Hongler · Franck Gabriel
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #988
Fourier Sparse Leverage Scores and Approximate Kernel Learning
Tamas Erdelyi · Cameron Musco · Christopher Musco
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #989
Demystifying Orthogonal Monte Carlo and Beyond
Han Lin · Haoxian Chen · Krzysztof M Choromanski · Tianyi Zhang · Clement Laroche
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #990
Unfolding recurrence by Green’s functions for optimized reservoir computing
Sandra Nestler · Christian Keup · David Dahmen · Matthieu Gilson · Holger Rauhut · Moritz Helias
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #991
A Group-Theoretic Framework for Data Augmentation
Shuxiao Chen · Edgar Dobriban · Jane Lee
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #992
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition
Ben Adlam · Jeffrey Pennington
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #993
Triple descent and the two kinds of overfitting: where & why do they appear?
Stéphane d'Ascoli · Levent Sagun · Giulio Biroli
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #994
The interplay between randomness and structure during learning in RNNs
Friedrich Schuessler · Francesca Mastrogiuseppe · Alexis Dubreuil · Srdjan Ostojic · Omri Barak
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #995
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent
Zhenyu Liao · Romain Couillet · Michael W Mahoney
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #996
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani · Song Mei · Theodor Misiakiewicz · Andrea Montanari
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #997
The Statistical Cost of Robust Kernel Hyperparameter Turning
Raphael Meyer · Christopher Musco
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #998
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model
Yiwei Shen · Pierre C Bellec
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #999
Randomized tests for high-dimensional regression: A more efficient and powerful solution
Yue Li · Ilmun Kim · Yuting Wei
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1000
Sample complexity and effective dimension for regression on manifolds
Andrew McRae · Justin Romberg · Mark Davenport
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1001
An analytic theory of shallow networks dynamics for hinge loss classification
Franco Pellegrini · Giulio Biroli
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1002
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions
Matthew Faw · Rajat Sen · Karthikeyan Shanmugam · Constantine Caramanis · Sanjay Shakkottai
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1003
One-bit Supervision for Image Classification
Hengtong Hu · Lingxi Xie · Zewei Du · Richang Hong · Qi Tian
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1004
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation
Naveen Venkat · Jogendra Nath Kundu · Durgesh Singh · Ambareesh Revanur · Venkatesh Babu R
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1005
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu · Jonathan Niles-Weed · Narges Razavian · Carlos Fernandez-Granda
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1006
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition
Dat Huynh · Ehsan Elhamifar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1007
Universal Domain Adaptation through Self Supervision
Kuniaki Saito · Donghyun Kim · Stan Sclaroff · Kate Saenko
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1008
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes · Han Zhao · Han Zhao · Yu-Xiang Wang · Geoffrey Gordon
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1009
A causal view of compositional zero-shot recognition
Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1010
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani · Ajinkya Tejankar · Hamed Pirsiavash
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1011
Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen · Simon Kornblith · Kevin Swersky · Mohammad Norouzi · Geoffrey E Hinton
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1012
Provably Consistent Partial-Label Learning
Lei Feng · Jiaqi Lv · Bo Han · Miao Xu · Gang Niu · Xin Geng · Bo An · Masashi Sugiyama
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1013
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
Weishi Shi · Xujiang Zhao · Feng Chen · Qi Yu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1014
Unsupervised Translation of Programming Languages
Baptiste Roziere · Marie-Anne Lachaux · Lowik Chanussot · Guillaume Lample
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1015
Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata Mukherjee · Ahmed Awadallah
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1016
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching
Di Hu · Rui Qian · Minyue Jiang · Xiao Tan · Shilei Wen · Errui Ding · Weiyao Lin · Dejing Dou
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1017
Teaching a GAN What Not to Learn
Siddarth Asokan · Chandra Seelamantula
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1018
A Randomized Algorithm to Reduce the Support of Discrete Measures
Francesco Cosentino · Harald Oberhauser · Alessandro Abate
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1019
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits
Pierre Perrault · Etienne Boursier · Michal Valko · Vianney Perchet
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1021
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games
Arun Suggala · Praneeth Netrapalli
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1022
Better Full-Matrix Regret via Parameter-Free Online Learning
Ashok Cutkosky
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1023
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij · Nicolò Cesa-Bianchi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1024
Online Learning with Primary and Secondary Losses
Avrim Blum · Han Shao
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1025
Online Linear Optimization with Many Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1026
Exploiting the Surrogate Gap in Online Multiclass Classification
Dirk van der Hoeven · Dirk van der Hoeven
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1027
Temporal Variability in Implicit Online Learning
Nicolò Campolongo · Francesco Orabona
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1028
Prediction with Corrupted Expert Advice
Idan Amir · Idan Attias · Tomer Koren · Yishay Mansour · Roi Livni
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1029
A mathematical model for automatic differentiation in machine learning
Jérôme Bolte · Edouard Pauwels
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1030
Online Non-Convex Optimization with Imperfect Feedback
Amélie Héliou · Matthieu Martin · Panayotis Mertikopoulos · Thibaud Rahier
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1031
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes
Ayoub El Hanchi · David Stephens
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1032
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1033
Learning Strategy-Aware Linear Classifiers
Yiling Chen · Yang Liu · Chara Podimata
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1034
BRP-NAS: Prediction-based NAS using GCNs
Lukasz Dudziak · Thomas Chau · Mohamed Abdelfattah · Royson Lee · Hyeji Kim · Nicholas Lane
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1035
Neural Architecture Generator Optimization
Robin Ru · Pedro Esperança · Fabio Maria Carlucci
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1036
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
Han Shi · Renjie Pi · Hang Xu · Zhenguo Li · James Kwok · Tong Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1037
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning
Hao Zhang · Yuan Li · Zhijie Deng · Xiaodan Liang · Lawrence Carin · Eric Xing
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1038
Agnostic Learning with Multiple Objectives
Corinna Cortes · Mehryar Mohri · Javier Gonzalvo · Dmitry Storcheus
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1039
Training Stronger Baselines for Learning to Optimize
Tianlong Chen · Weiyi Zhang · Zhou Jingyang · Shiyu Chang · Sijia Liu · Sijia Liu · Lisa Amini · Zhangyang Wang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1040
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification
John Halloran · David M Rocke
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1041
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He · Murali Annavaram · Salman Avestimehr
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1042
Geometric Dataset Distances via Optimal Transport
David Alvarez-Melis · Nicolo Fusi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1043
Efficient Algorithms for Device Placement of DNN Graph Operators
Jakub Tarnawski · Amar Phanishayee · Nikhil Devanur · Divya Mahajan · Fanny Nina Paravecino · Fanny Nina Paravecino
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1044
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems
Kai Wang · Bryan Wilder · Andrew Perrault · Milind Tambe
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1045
Bayesian Optimization for Iterative Learning
Vu Nguyen · Vu Nguyen · Sebastian Schulze · Michael A Osborne
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1046
Model Selection for Production System via Automated Online Experiments
Zhenwen Dai · Praveen Chandar · Ghazal Fazelnia · Benjamin Carterette · Mounia Lalmas
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1047
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations
Rohan Paleja · Andrew Silva · Letian Chen · Matthew Gombolay
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1048
CryptoNAS: Private Inference on a ReLU Budget
Zahra Ghodsi · Akshaj Kumar Veldanda · Brandon Reagen · Siddharth Garg
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1049
Neural Power Units
Niklas Heim · Tomas Pevny · Vasek Smidl
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1050
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations
Mina Konakovic Lukovic · Yunsheng Tian · Wojciech Matusik
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1051
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds
Noémie Jaquier · Leonel Rozo
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1052
Learning Feature Sparse Principal Subspace
Lai Tian · Feiping Nie · Rong Wang · Xuelong Li
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1053
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine
Jiajin Li · Caihua Chen · Anthony Man-Cho So
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1054
Stochastic Optimization with Laggard Data Pipelines
Naman Agarwal · Rohan Anil · Tomer Koren · Kunal Talwar · Cyril Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1055
Black-Box Optimization with Local Generative Surrogates
Sergey Shirobokov · Vladislav Belavin · Michael Kagan · Andrei Ustyuzhanin · Atilim Gunes Baydin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1056
Learning Linear Programs from Optimal Decisions
Yingcong Tan · Daria Terekhov · Andrew Delong
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1057
Acceleration with a Ball Optimization Oracle
Yair Carmon · Arun Jambulapati · Qijia Jiang · Yujia Jin · Yin Tat Lee · Aaron Sidford · Kevin Tian
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1058
Convex optimization based on global lower second-order models
Nikita Doikov · Yurii Nesterov
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1059
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
Hassan Mortagy · Swati Gupta · Sebastian Pokutta
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1060
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity
Dan Garber
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1061
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
Hung Tran-The · Sunil Gupta · Santu Rana · Huong Ha · Huong Ha · Svetha Venkatesh
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1062
An efficient nonconvex reformulation of stagewise convex optimization problems
Rudy Bunel · Oliver Hinder · Srinadh Bhojanapalli · Krishnamurthy Dvijotham
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1063
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems
Songtao Lu · Meisam Razaviyayn · Bo Yang · Kejun Huang · Mingyi Hong
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1064
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat · Brian Karrer · Daniel Jiang · Samuel Daulton · Ben Letham · Andrew Wilson · Eytan Bakshy
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1065
First-Order Methods for Large-Scale Market Equilibrium Computation
Yuan Gao · Christian Kroer
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1066
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Han Zhao · Han Zhao · Jianfeng Chi · Yuan Tian · Geoffrey Gordon
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1067
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1068
Deep Smoothing of the Implied Volatility Surface
Damien Ackerer · Natasa Tagasovska · Thibault Vatter
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1069
What went wrong and when? Instance-wise feature importance for time-series black-box models
Sana Tonekaboni · Shalmali Joshi · Kieran Campbell · David Duvenaud · Anna Goldenberg
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1070
Learning from Failure: De-biasing Classifier from Biased Classifier
Junhyun Nam · Hyuntak Cha · Sungsoo Ahn · Jaeho Lee · Jinwoo Shin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1071
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye · Colin Rowat · Ilya Feige
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1072
Learning Global Transparent Models consistent with Local Contrastive Explanations
Tejaswini Pedapati · Avinash Balakrishnan · Karthikeyan Shanmugam · Amit Dhurandhar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1073
Towards Safe Policy Improvement for Non-Stationary MDPs
Yash Chandak · Scott Jordan · Georgios Theocharous · Martha White · Philip Thomas
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1074
Decisions, Counterfactual Explanations and Strategic Behavior
Stratis Tsirtsis · Manuel Gomez Rodriguez
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1075
From Predictions to Decisions: Using Lookahead Regularization
Nir Rosenfeld · Anna Hilgard · Sai Srivatsa Ravindranath · David Parkes
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1076
Model Agnostic Multilevel Explanations
Karthikeyan Natesan Ramamurthy · Bhanukiran Vinzamuri · Yunfeng Zhang · Amit Dhurandhar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1077
Achieving Equalized Odds by Resampling Sensitive Attributes
Yaniv Romano · Stephen Bates · Stephen Bates · Emmanuel Candes
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1078
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb · Maruan Al-Shedivat · Ángel Alexander Cabrera · Adam Perer · Eric Xing · Ameet Talwalkar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1079
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data
Qian Lou · Bo Feng · Geoffrey Charles Fox · Lei Jiang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1080
MetaPoison: Practical General-purpose Clean-label Data Poisoning
W. Ronny Huang · Jonas Geiping · Liam Fowl · Gavin Taylor · Tom Goldstein
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1081
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen · Steven Wu · Mingyi Hong
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1082
Coresets via Bilevel Optimization for Continual Learning and Streaming
Zalán Borsos · Mojmir Mutny · Andreas Krause
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1083
Linear Dynamical Systems as a Core Computational Primitive
Shiva Kaul
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1084
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits
Mo Tiwari · Martin Zhang · James J Mayclin · Sebastian Thrun · Chris Piech · Ilan Shomorony
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1085
Sliding Window Algorithms for k-Clustering Problems
Michele Borassi · Alessandro Epasto · Silvio Lattanzi · Sergei Vassilvitskii · Morteza Zadimoghaddam
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1086
Fast and Accurate $k$-means++ via Rejection Sampling
Vincent Cohen-Addad · Silvio Lattanzi · Ashkan Norouzi-Fard · Christian Sohler · Ola Svensson
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1087
NeuMiss networks: differentiable programming for supervised learning with missing values.
Marine Le Morvan · Julie Josse · Thomas Moreau · Erwan Scornet · Gael Varoquaux
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1088
Debiasing Averaged Stochastic Gradient Descent to handle missing values
Aude Sportisse · Claire Boyer · Aymeric Dieuleveut · Julie Josse
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1089
Coresets for Near-Convex Functions
Murad Tukan · Alaa Maalouf · Dan Feldman
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1091
HiPPO: Recurrent Memory with Optimal Polynomial Projections
Albert Gu · Tri Dao · Stefano Ermon · Atri Rudra · Christopher Ré
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1092
Online MAP Inference of Determinantal Point Processes
Aditya Bhaskara · Amin Karbasi · Silvio Lattanzi · Morteza Zadimoghaddam
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1093
Joints in Random Forests
Alvaro Correia · Robert Peharz · Cassio de Campos
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1094
Approximate Cross-Validation for Structured Models
Soumya Ghosh · Will Stephenson · Tin Nguyen · Sameer Deshpande · Tamara Broderick
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1095
A convex optimization formulation for multivariate regression
Yunzhang Zhu
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1096
Adaptive Reduced Rank Regression
Qiong Wu · Felix MF Wong · Yanhua Li · Zhenming Liu · Varun Kanade
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1097
Self-Distillation Amplifies Regularization in Hilbert Space
Hossein Mobahi · Mehrdad Farajtabar · Peter Bartlett
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1098
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective
Kaixuan Huang · Yuqing Wang · Molei Tao · Tuo Zhao
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1099
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning
Chandrashekar Lakshminarayanan · Amit Vikram Singh
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1100
Explicit Regularisation in Gaussian Noise Injections
Alexander Camuto · Matthew Willetts · Umut Simsekli · Umut Simsekli · Stephen J Roberts · Chris C Holmes
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1101
Rational neural networks
Nicolas Boulle · Yuji Nakatsukasa · Alex J Townsend
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1102
On the Similarity between the Laplace and Neural Tangent Kernels
Amnon Geifman · Abhay Yadav · Abhay Yadav · Yoni Kasten · Meirav Galun · David Jacobs · Basri Ronen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1103
Neural Anisotropy Directions
Guillermo Ortiz-Jimenez · Apostolos Modas · Seyed-Mohsen Moosavi · Pascal Frossard
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1104
Ode to an ODE
Krzysztof Choromanski · Jared Quincy Davis · Valerii Likhosherstov · Xingyou Song · Jean-Jacques Slotine · Jacob Varley · Honglak Lee · Adrian Weller · Vikas Sindhwani
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1105
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity
Shuxiao Chen · Hangfeng He · Weijie Su
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1106
Limits to Depth Efficiencies of Self-Attention
Yoav Levine · Noam Wies · Or Sharir · Hofit Bata · Amnon Shashua
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1107
On the linearity of large non-linear models: when and why the tangent kernel is constant
Chaoyue Liu · Libin Zhu · Misha Belkin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1108
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy
Edward Moroshko · Blake Woodworth · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1109
Directional Pruning of Deep Neural Networks
Shih-Kang Chao · Zhanyu Wang · Yue Xing · Guang Cheng
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1110
Winning the Lottery with Continuous Sparsification
Pedro Savarese · Hugo Silva · Michael Maire
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1111
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry
Yossi Arjevani · Michael Field
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1112
On the universality of deep learning
Emmanuel Abbe · Colin Sandon
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1113
Reservoir Computing meets Recurrent Kernels and Structured Transforms
Jonathan Dong · Ruben Ohana · Mushegh Rafayelyan · Florent Krzakala
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1114
The Diversified Ensemble Neural Network
Shaofeng Zhang · Meng Liu · Junchi Yan
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1115
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning
Ximeng Sun · Rameswar Panda · Rogerio Feris · Kate Saenko
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1116
Spin-Weighted Spherical CNNs
Carlos Esteves · Ameesh Makadia · Kostas Daniilidis
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1117
Autoencoders that don't overfit towards the Identity
Harald Steck
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1118
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich · Bernhard Schäfl · Milena Pavlović · Hubert Ramsauer · Lukas Gruber · Markus Holzleitner · Johannes Brandstetter · Geir Kjetil Sandve · Victor Greiff · Sepp Hochreiter · Günter Klambauer
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1119
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree
Kacper Kania · Maciej Zieba · Tomasz Kajdanowicz
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1120
UCLID-Net: Single View Reconstruction in Object Space
Benoit Guillard · Edoardo Remelli · Pascal Fua
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1121
Graph Geometry Interaction Learning
Shichao Zhu · Shirui Pan · Chuan Zhou · Jia Wu · Yanan Cao · Bin Wang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1122
Feature Importance Ranking for Deep Learning
Maksymilian Wojtas · Ke Chen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1123
Introducing Routing Uncertainty in Capsule Networks
Fabio De Sousa Ribeiro · Georgios Leontidis · Stefanos Kollias
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1124
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah · Kaustav Tamuly · Aditi Raghunathan · Prateek Jain · Praneeth Netrapalli
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1125
Primal-Dual Mesh Convolutional Neural Networks
Francesco Milano · Antonio Loquercio · Antoni Rosinol · Davide Scaramuzza · Luca Carlone
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1126
The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom · Victor Garcia Satorras · Jakub Tomczak · Max Welling
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1127
Coherent Hierarchical Multi-Label Classification Networks
Eleonora Giunchiglia · Thomas Lukasiewicz
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1128
Differentiable Top-k with Optimal Transport
Yujia Xie · Hanjun Dai · Minshuo Chen · Bo Dai · Tuo Zhao · Hongyuan Zha · Wei Wei · Tomas Pfister
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1129
Proximal Mapping for Deep Regularization
Mao Li · Yingyi Ma · Xinhua Zhang
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1130
CSER: Communication-efficient SGD with Error Reset
Cong Xie · Shuai Zheng · Sanmi Koyejo · Indranil Gupta · Mu Li · Haibin Lin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1131
Practical Low-Rank Communication Compression in Decentralized Deep Learning
Thijs Vogels · Sai Praneeth Karimireddy · Martin Jaggi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1132
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
Mingrui Liu · Wei Zhang · Youssef Mroueh · Xiaodong Cui · Jarret Ross · Tianbao Yang · Payel Das
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1133
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking
Isidoros Tziotis · Constantine Caramanis · Aryan Mokhtari
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1134
Distributed Newton Can Communicate Less and Resist Byzantine Workers
Avishek Ghosh · Raj Kumar Maity · Arya Mazumdar · Arya Mazumdar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1135
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method
Yossi Arjevani · Joan Bruna · Bugra Can · Mert Gurbuzbalaban · Stefanie Jegelka · Hongzhou Lin · Hongzhou Lin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1136
Dual-Free Stochastic Decentralized Optimization with Variance Reduction
Hadrien Hendrikx · Francis Bach · Laurent Massoulié
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1137
FedSplit: an algorithmic framework for fast federated optimization
Reese Pathak · Martin Wainwright
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1138
Distributionally Robust Federated Averaging
Yuyang Deng · Mohammad Mahdi Kamani · Mohammad Mahdi Kamani · Mehrdad Mahdavi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1139
Personalized Federated Learning with Moreau Envelopes
Canh T. Dinh · Canh T. Dinh · Nguyen H. Tran · Josh Nguyen
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1140
Minibatch vs Local SGD for Heterogeneous Distributed Learning
Blake Woodworth · Kumar Kshitij Patel · Nati Srebro
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1141
Minibatch Stochastic Approximate Proximal Point Methods
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1142
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach
Alireza Fallah · Aryan Mokhtari · Asuman Ozdaglar
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1143
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration
Kevin Scaman · Ludovic DOS SANTOS · Merwan Barlier · Igor Colin
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1144
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Xiangyi Chen · Tiancong Chen · Haoran Sun · Steven Wu · Mingyi Hong
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1145
Linearly Converging Error Compensated SGD
Eduard Gorbunov · Dmitry Kovalev · Dmitry Makarenko · Peter Richtarik
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1253
The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed · Ilias Zadik
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1366
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow
Didrik Nielsen · Ole Winther
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1787
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool
Gellert Weisz · András György · Wei-I Lin · Devon Graham · Kevin Leyton-Brown · Csaba Szepesvari · Brendan Lucier
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1789
Normalizing Kalman Filters for Multivariate Time Series Analysis
Emmanuel de Bézenac · Syama Sundar Rangapuram · Konstantinos Benidis · Michael Bohlke-Schneider · Richard Kurle · Lorenzo Stella · Hilaf Hasson · Patrick Gallinari · Tim Januschowski
Poster
Wed Dec 09 09:00 AM -- 11:00 AM (PST) @ Poster Session 3 #1811
Learning Augmented Energy Minimization via Speed Scaling
Etienne Bamas · Andreas Maggiori · Lars Rohwedder · Ola Svensson