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Spotlight
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Wed 12:00
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Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Denis Yarats · Ilya Kostrikov · Rob Fergus
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Oral
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Thu 11:00
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VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie · Mao Ye · Qiang Liu · Dan Nicolae
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Poster
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Tue 9:00
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Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime
Andrea Agazzi · Jianfeng Lu
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Poster
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Mon 1:00
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Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
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Poster
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Tue 9:00
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Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Zhiyuan Li · Yuping Luo · Kaifeng Lyu
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Poster
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Thu 9:00
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VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie · Mao Ye · Qiang Liu · Dan Nicolae
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Poster
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Thu 17:00
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Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun · Jiaming Liu · Yiran Sun · Brendt Wohlberg · Ulugbek Kamilov
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Poster
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Mon 17:00
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Regularized Inverse Reinforcement Learning
Wonseok Jeon · Chen-Yang Su · Paul Barde · Thang Doan · Derek Nowrouzezahrai · Joelle Pineau
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Poster
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Mon 1:00
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Noise against noise: stochastic label noise helps combat inherent label noise
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
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Spotlight
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Tue 4:48
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Noise against noise: stochastic label noise helps combat inherent label noise
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
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Oral
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Mon 11:00
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Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
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Workshop
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Regularization Can Help Mitigate Poisoning Attacks... with the Right Hyperparameters
Javier Carnerero-Cano
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