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