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 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

Workshop

The curse of (non)convexity: The case of an Optimization-Inspired Data Pruning algorithm
Fadhel Ayed · Soufiane Hayou

Poster

Wed 9:00

Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks
Mingze Wang · Chao Ma

Workshop

Connectedness of loss landscapes via the lens of Morse theory
Danil Akhtiamov · Matt Thomson

Poster

Wed 14:00

ATD: Augmenting CP Tensor Decomposition by Self Supervision
Chaoqi Yang · Cheng Qian · Navjot Singh · Cao (Danica) Xiao · M Westover · Edgar Solomonik · Jimeng Sun

Results