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The 2020 schedule is still incomplete
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Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Smaller, more accurate regression forests using tree alternating optimization
Arman Zharmagambetov · Miguel Carreira-Perpinan
[ Slides
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 11:00 PM -- 11:45 PM (PDT)
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland
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)
Stochastically Dominant Distributional Reinforcement Learning
John Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt · Maximilian Granz · Tim Landgraf
[ Slides
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
A Swiss Army Knife for Minimax Optimal Transport
Sofien Dhouib · Ievgen Redko · Tanguy Kerdoncuff · Rémi Emonet · Marc Sebban
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
Alexey Drutsa
[ Slides
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
Near-linear time Gaussian process optimization with adaptive batching and resparsification
Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
[ Slides
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)
Quantum Expectation-Maximization for Gaussian mixture models
Alessandro Luongo · Iordanis Kerenidis · Anupam Prakash
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
Steven Kleinegesse · Michael Gutmann
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
Understanding and Mitigating the Tradeoff between Robustness and Accuracy
Aditi Raghunathan · Sang Michael Xie · Fanny Yang · John Duchi · Percy Liang
[ Slides
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
[ Slides
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 & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Basil Saeed · Snigdha Panigrahi · Caroline Uhler
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
[ Slides
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Explainable and Discourse Topic-aware Neural Language Understanding
Yatin Chaudhary · Hinrich Schuetze · Pankaj Gupta
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 11:00 PM -- 11:45 PM (PDT)
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
Victor Campos · Alexander Trott · Caiming Xiong · Richard Socher · Xavier Giro-i-Nieto · Jordi Torres
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT)
Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia · Hao Su
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Wed Jul 15 12:00 AM -- 12:45 AM (PDT) @ Virtual
LowFER: Low-rank Bilinear Pooling for Link Prediction
Saadullah Amin · Stalin Varanasi · Katherine Ann Dunfield · Günter Neumann
[ Slides
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
[ Slides
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual
Adversarial Robustness for Code
Pavol Bielik · Martin Vechev
[ Slides
Poster
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT)
Online metric algorithms with untrusted predictions
Antonios Antoniadis · Christian Coester · Marek Elias · Adam Polak · Bertrand Simon