40 Results

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	Thu 14:00	On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond Xiaotong Yuan · Ping Li
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 9:00	Better SGD using Second-order Momentum Hoang Tran · Ashok Cutkosky
Poster	Thu 14:00	Distributed Distributionally Robust Optimization with Non-Convex Objectives Yang Jiao · Kai Yang · Dongjin Song
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 9:00	Non-convex online learning via algorithmic equivalence Udaya Ghai · Zhou Lu · Elad Hazan
Poster	Thu 9:00	Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization Kun Yuan · Xinmeng Huang · Yiming Chen · Xiaohan Zhang · Yingya Zhang · Pan Pan
Poster	Thu 9:00	Momentum Aggregation for Private Non-convex ERM Hoang Tran · Ashok Cutkosky
Poster	Thu 14:00	A framework for bilevel optimization that enables stochastic and global variance reduction algorithms Mathieu Dagréou · Pierre Ablin · Samuel Vaiter · Thomas Moreau