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(26 events)   Timezone: Pacific/Honolulu  
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Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (HST)
Online metric algorithms with untrusted predictions
In Poster Session 5
Antonios Antoniadis · Christian Coester · Marek Elias · Adam Polak · Bertrand Simon
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST)
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
In Poster Session 5
Basil Saeed · Snigdha Panigrahi · Caroline Uhler
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (HST) @ Virtual
Adversarial Robustness for Code
In Poster Session 5
Pavol Bielik · Martin Vechev
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST) @ Virtual
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
In Poster Session 5
Zitong Yang · Yaodong Yu · Chong You · Jacob Steinhardt · Yi Ma
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST) @ Virtual
LowFER: Low-rank Bilinear Pooling for Link Prediction
In Poster Session 5
Saadullah Amin · Stalin Varanasi · Katherine Ann Dunfield · Günter Neumann
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Consistent Structured Prediction with Max-Min Margin Markov Networks
In Poster Session 5
Alex Nowak · Francis Bach · Alessandro Rudi
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (HST)
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills
In Poster Session 5
Victor Campos · Alexander Trott · Caiming Xiong · Richard Socher · Xavier Giro-i-Nieto · Jordi Torres
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Quantum Expectation-Maximization for Gaussian mixture models
In Poster Session 5
Alessandro Luongo · Iordanis Kerenidis · Anupam Prakash
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (HST)
Learning Deep Kernels for Non-Parametric Two-Sample Tests
In Poster Session 5
Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 08:00 PM -- 08:45 PM (HST) @ Virtual
When Explanations Lie: Why Many Modified BP Attributions Fail
In Poster Session 5
Leon Sixt · Maximilian Granz · Tim Landgraf
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST) @ Virtual
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
In Poster Session 5
Amr Mohamed Alexandari · Anshul Kundaje · Avanti Shrikumar
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST) @ Virtual
Smaller, more accurate regression forests using tree alternating optimization
In Poster Session 5
Arman Zharmagambetov · Miguel Carreira-Perpinan
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST)
Explainable and Discourse Topic-aware Neural Language Understanding
In Poster Session 5
Yatin Chaudhary · Hinrich Schuetze · Pankaj Gupta
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST)
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
In Poster Session 5
Steven Kleinegesse · Michael Gutmann
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Stochastically Dominant Distributional Reinforcement Learning
In Poster Session 5
John Martin · Michal Lyskawinski · Xiaohu Li · Brendan Englot
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Bandits with Adversarial Scaling
In Poster Session 5
Thodoris Lykouris · Vahab Mirrokni · Renato Leme
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Which Tasks Should Be Learned Together in Multi-task Learning?
In Poster Session 5
Trevor Standley · Amir Zamir · Dawn Chen · Leonidas Guibas · Jitendra Malik · Silvio Savarese
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Domain Adaptive Imitation Learning
In Poster Session 5
Kuno Kim · Yihong Gu · Jiaming Song · Shengjia Zhao · Stefano Ermon
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST)
A Swiss Army Knife for Minimax Optimal Transport
In Poster Session 5
Sofien Dhouib · Ievgen Redko · Tanguy Kerdoncuff · Rémi Emonet · Marc Sebban
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST)
Information-Theoretic Local Minima Characterization and Regularization
In Poster Session 5
Zhiwei Jia · Hao Su
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST) @ Virtual
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
In Poster Session 5
Alexey Drutsa
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST) @ Virtual
Optimization and Analysis of the pAp@k Metric for Recommender Systems
In Poster Session 5
Gaurush Hiranandani · Warut Vijitbenjaronk · Sanmi Koyejo · Prateek Jain
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST) @ Virtual
Understanding and Mitigating the Tradeoff between Robustness and Accuracy
In Poster Session 5
Aditi Raghunathan · Sang Michael Xie · Fanny Yang · John Duchi · Percy Liang
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Kernel Methods for Cooperative Multi-Agent Contextual Bandits
In Poster Session 5
Abhimanyu Dubey · Alex `Sandy' Pentland
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 09:00 PM -- 09:45 PM (HST) @ Virtual
Near-linear time Gaussian process optimization with adaptive batching and resparsification
In Poster Session 5
Daniele Calandriello · Luigi Carratino · Alessandro Lazaric · Michal Valko · Lorenzo Rosasco
[ Slides] 
Poster
Tue Jul 14 08:00 AM -- 08:45 AM & Tue Jul 14 07:00 PM -- 07:45 PM (HST)
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates
In Poster Session 5
Yang Liu · Hongyi Guo