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Poster
Mon 9:00 Adaptive Federated Optimization
Sashank Reddi · Zachary Charles · Manzil Zaheer · Zachary Garrett · Keith Rush · Jakub Konečný · Sanjiv Kumar · H. Brendan McMahan
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
Mon 17:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Poster
Tue 1:00 Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang · Aditya Krishna Menon · Andreas Veit · Srinadh Bhojanapalli · Sanjiv Kumar · Suvrit Sra
Poster
Tue 17:00 Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang · Tian Qi Chen · Christos Tsirigotis · Aaron Courville
Poster
Wed 1:00 A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
Samuel Horváth · Peter Richtarik
Poster
Wed 9:00 Modeling the Second Player in Distributionally Robust Optimization
Paul Michel · Tatsunori Hashimoto · Graham Neubig
Poster
Thu 17:00 Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
Spotlight
Thu 21:28 Distributional Sliced-Wasserstein and Applications to Generative Modeling
Khai Nguyen · Nhat Ho · Tung Pham · Hung Bui
Workshop
Fri 11:06 Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan · Filip Hanzely · Peter Richtarik
Workshop
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization
Mher Safaryan · Filip Hanzely · Peter Richtarik
Workshop
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
Jongmin Lee · Wonseok Jeon · Byung-Jun Lee · Joelle Pineau · Kee-Eung Kim