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17 Results

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Poster
Wed 14:00 Proximal Point Imitation Learning
Luca Viano · Angeliki Kamoutsi · Gergely Neu · Igor Krawczuk · Volkan Cevher
Poster
Thu 14:00 Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
Poster
Thu 9:00 Proximal Learning With Opponent-Learning Awareness
Stephen Zhao · Chris Lu · Roger Grosse · Jakob Foerster
Poster
Thu 14:00 On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
Poster
Wed 14:00 Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Aniket Das · Bernhard Schölkopf · Michael Muehlebach
Poster
Thu 9:00 Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford
Poster
Tue 14:00 Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent
Sebastian Dalleiger · Jilles Vreeken
Poster
Wed 14:00 Faster and Scalable Algorithms for Densest Subgraph and Decomposition
Elfarouk Harb · Kent Quanrud · Chandra Chekuri
Workshop
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method
Tong Yang · Michael Jordan · Tatjana Chavdarova
Workshop
Stochastic Gradient Methods with Compressed Communication for Decentralized Saddle Point Problems
Chhavi Sharma · Vishnu Narayanan · Balamurugan Palaniappan
Poster
Wed 9:00 Deep Learning Methods for Proximal Inference via Maximum Moment Restriction
Benjamin Kompa · David Bellamy · Tom Kolokotrones · james m robins · Andrew Beam
Poster
Thu 14:00 Detection and Localization of Changes in Conditional Distributions
Lizhen Nie · Dan Nicolae