83 Results

Poster	Tue 9:00	Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss Jason Altschuler · Kunal Talwar
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	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	Wed 14:00	The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning Zixin Wen · Yuanzhi Li
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
Poster	Wed 9:00	Large-scale Optimization of Partial AUC in a Range of False Positive Rates Yao Yao · Qihang Lin · Tianbao Yang
Poster	Wed 14:00	Non-Convex Bilevel Games with Critical Point Selection Maps Michael Arbel · Julien Mairal
Poster	Tue 14:00	Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang · Gang Li · Yibo Wang · Lijun Zhang · Tianbao Yang