61 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	Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity Sally Dong · Haotian Jiang · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
Poster	Wed 9:00	Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression Liangzu Peng · Christian Kümmerle · Rene Vidal
Poster	Thu 14:00	Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments Liyu Chen · Haipeng Luo
Poster		Optimality and Stability in Non-Convex Smooth Games Guojun Zhang · Pascal Poupart · Yaoliang Yu
Poster	Wed 9:00	Constrained Langevin Algorithms with L-mixing External Random Variables Yuping Zheng · Andrew Lamperski
Poster	Wed 14:00	The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning Zixin Wen · Yuanzhi Li
Workshop		The curse of (non)convexity: The case of an Optimization-Inspired Data Pruning algorithm Fadhel Ayed · Soufiane Hayou
Poster	Wed 9:00	Efficient Non-Parametric Optimizer Search for Diverse Tasks Ruochen Wang · Yuanhao Xiong · Minhao Cheng · Cho-Jui Hsieh
Poster	Wed 14:00	Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound Charles Guille-Escuret · Adam Ibrahim · Baptiste Goujaud · Ioannis Mitliagkas
Poster	Tue 9:00	From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan