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Poster
Tue 9:00 Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Zhiyuan Li · Yuping Luo · Kaifeng Lyu
Poster
Wed 9:00 Neural Networks for Learning Counterfactual G-Invariances from Single Environments
S Chandra Mouli · Bruno Ribeiro
Spotlight
Wed 21:25 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
Zhuang Liu · Xuanlin Li · Bingyi Kang · trevor darrell
Spotlight
Mon 12:25 Sharpness-aware Minimization for Efficiently Improving Generalization
Pierre Foret · Ariel Kleiner · Hossein Mobahi · Behnam Neyshabur
Poster
Tue 17:00 Monotonic Kronecker-Factored Lattice
William Bakst · Nobuyuki Morioka · Erez Louidor
Poster
Mon 1:00 Batch Reinforcement Learning Through Continuation Method
Yijie Guo · Shengyu Feng · Nicolas Le Roux · Ed H. Chi · Honglak Lee · Minmin Chen
Poster
Thu 9:00 Implicit Gradient Regularization
David Barrett · Benoit Dherin
Spotlight
Tue 20:20 Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun · Jiaming Liu · Yiran Sun · Brendt Wohlberg · Ulugbek Kamilov
Poster
Thu 17:00 Neural Pruning via Growing Regularization
Huan Wang · Can Qin · Yulun Zhang · Yun Fu
Oral
Mon 11:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Poster
Thu 17:00 Convex Regularization behind Neural Reconstruction
Arda Sahiner · Morteza Mardani · Batu Ozturkler · Mert Pilanci · John M Pauly
Oral
Thu 11:00 VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments
Lizhen Nie · Mao Ye · Qiang Liu · Dan Nicolae