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Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
The Many Shapley Values for Model Explanation
Mukund Sundararajan · Amir Najmi
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
How Good is the Bayes Posterior in Deep Neural Networks Really?
Florian Wenzel · Kevin Roth · Bastiaan Veeling · Jakub Swiatkowski · Linh Tran · Stephan Mandt · Jasper Snoek · Tim Salimans · Rodolphe Jenatton · Sebastian Nowozin
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning
Qing Li · Siyuan Huang · Yining Hong · Yixin Chen · Ying Nian Wu · Song-Chun Zhu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Disentangling Trainability and Generalization in Deep Neural Networks
Lechao Xiao · Jeffrey Pennington · Samuel Schoenholz
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Neural Contextual Bandits with UCB-based Exploration
Dongruo Zhou · Lihong Li · Quanquan Gu
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Non-Autoregressive Neural Text-to-Speech
Kainan Peng · Wei Ping · Zhao Song · Kexin Zhao
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Low-loss connection of weight vectors: distribution-based approaches
Ivan Anokhin · Dmitry Yarotsky
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Streaming Coresets for Symmetric Tensor Factorization
Supratim Shit · Rachit Chhaya · Jayesh Choudhari · Anirban Dasgupta
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Ali Teshnizi · Saber Salehkaleybar · Negar Kiyavash
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Tightening Exploration in Upper Confidence Reinforcement Learning
Hippolyte Bourel · Odalric-Ambrym Maillard · Mohammad Sadegh Talebi
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Robustness to Spurious Correlations via Human Annotations
Megha Srivastava · Tatsunori Hashimoto · Percy Liang
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Recovery of Sparse Signals from a Mixture of Linear Samples
Soumyabrata Pal · Arya Mazumdar
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Being Bayesian about Categorical Probability
Taejong Joo · Uijung Chung · Min-Gwan Seo
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz · Meirav Galun · Haggai Maron · Ronen Basri · Irad Yavneh
Poster
Tue Jul 14 09:00 AM -- 09:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
Xiaochen Wang · Arash Pakbin · Bobak Mortazavi · Hongyu Zhao · Donald Lee
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
SoftSort: A Continuous Relaxation for the argsort Operator
Sebastian Prillo · Julian M Eisenschlos
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha · Goran Radanovic · Rati Devidze · Jerry Zhu · Adish Singla
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems
Tong Yu · Branislav Kveton · Zheng Wen · Ruiyi Zhang · Ole J. Mengshoel
Poster
Tue Jul 14 10:00 AM -- 10:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Topological Autoencoders
Michael Moor · Max Horn · Bastian Rieck · Karsten Borgwardt
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Bandits with Adversarial Scaling
Thodoris Lykouris · Vahab Mirrokni · Renato Leme
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Standley · Amir Zamir · Dawn Chen · Leonidas Guibas · Jitendra Malik · Silvio Savarese
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
Zitong Yang · Yaodong Yu · Chong You · Jacob Steinhardt · Yi Ma
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Understanding and Mitigating the Tradeoff between Robustness and Accuracy
Aditi Raghunathan · Sang Michael Xie · Fanny Yang · John Duchi · Percy Liang
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Kernel Methods for Cooperative Multi-Agent Contextual Bandits
Abhimanyu Dubey · Alex `Sandy' Pentland
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Amr Mohamed Alexandari · Anshul Kundaje · Avanti Shrikumar
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Domain Adaptive Imitation Learning
Kuno Kim · Yihong Gu · Jiaming Song · Shengjia Zhao · Stefano Ermon
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
Yang Liu · Hongyi Guo
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT) @ Virtual
Optimization and Analysis of the pAp@k Metric for Recommender Systems
Gaurush Hiranandani · Warut Vijitbenjaronk · Sanmi Koyejo · Prateek Jain
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Consistent Structured Prediction with Max-Min Margin Markov Networks
Alex Nowak · Francis Bach · Alessandro Rudi
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Stochastically Dominant Distributional Reinforcement Learning
John D. Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 10:00 PM -- 10:45 PM (PDT)
Quantum Expectation-Maximization for Gaussian mixture models
Alessandro Luongo · Iordanis Kerenidis · Anupam Prakash