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Search All 2022 Events
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Workshop
Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses & Extension to Non-Convex Losses
Andrew Lowy · Meisam Razaviyayn
Poster
Wed 14:00
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen · Yuanzhi Li
Poster
Wed 9:00
Constrained Langevin Algorithms with L-mixing External Random Variables
Yuping Zheng · Andrew Lamperski
Poster
Thu 14:00
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
Poster
Thu 9:00
Better SGD using Second-order Momentum
Hoang Tran · Ashok Cutkosky
Poster
Optimality and Stability in Non-Convex Smooth Games
Guojun Zhang · Pascal Poupart · Yaoliang Yu
Workshop
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks
Xinmeng Huang · Kun Yuan
Poster
Thu 14:00
Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao · Kai Yang · Dongjin Song
Poster
Wed 9:00
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Xinmeng Huang · Yiming Chen · Wotao Yin · Kun Yuan
Poster
Wed 9:00
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
Mingze Wang · Chao Ma
Poster
Thu 14:00
Using Partial Monotonicity in Submodular Maximization
Loay Mualem · Moran Feldman
Workshop
Connectedness of loss landscapes via the lens of Morse theory
Danil Akhtiamov · Matt Thomson
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