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Workshop
Optimistic Meta-Gradients
Sebastian Flennerhag · Tom Zahavy · Brendan O'Donoghue · Hado van Hasselt · András György · Satinder Singh
Workshop
Fri 9:40 Contributed talk 2: Optimistic Meta-Gradients
Poster
Tue 9:00 Active Labeling: Streaming Stochastic Gradients
Vivien Cabannes · Francis Bach · Vianney Perchet · Alessandro Rudi
Poster
Thu 9:00 A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu · Zhenxun Zhuang · Yunwen Lei · Chunyang Liao
Poster
Tue 9:00 Learning single-index models with shallow neural networks
Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song
Workshop
Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function
Clément Bonnet · Laurence Midgley · Alexandre Laterre
Poster
Wed 14:00 Gradient Descent: The Ultimate Optimizer
Kartik Chandra · Audrey Xie · Jonathan Ragan-Kelley · ERIK MEIJER
Poster
Wed 9:00 Understanding Benign Overfitting in Gradient-Based Meta Learning
Lisha Chen · Songtao Lu · Tianyi Chen
Poster
Thu 14:00 Adaptive Interest for Emphatic Reinforcement Learning
Martin Klissarov · Rasool Fakoor · Jonas Mueller · Kavosh Asadi · Taesup Kim · Alexander Smola
Workshop
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Shengyuan Hu · Jack Goetz · Kshitiz Malik · Hongyuan Zhan · Zhe Liu · Yue Liu
Poster
Tue 9:00 A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
Bo Liu · Xidong Feng · Jie Ren · Luo Mai · Rui Zhu · Haifeng Zhang · Jun Wang · Yaodong Yang