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Workshop
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian · Eshaan Nichani · Jason Lee
Workshop
Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
Sanghwan Kim · Lorenzo Noci · Antonio Orvieto · Thomas Hofmann
Workshop
Smoothed-SGDmax: A Stability-Inspired Algorithm to Improve Adversarial Generalization
Jiancong Xiao · Jiawei Zhang · Zhiquan Luo · Asuman Ozdaglar
Poster
Thu 9:00 The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li · Minjia Zhang · Yuxiong He
Poster
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms
Jiechao Guan · Yong Liu · Zhiwu Lu
Poster
Thu 14:00 On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
Poster
Tue 14:00 Black-Box Generalization: Stability of Zeroth-Order Learning
Konstantinos Nikolakakis · Farzin Haddadpour · Dionysis Kalogerias · Amin Karbasi
Poster
Wed 9:00 Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei · Rong Jin · Yiming Ying
Poster
Tue 9:00 The Phenomenon of Policy Churn
Tom Schaul · Andre Barreto · John Quan · Georg Ostrovski
Poster
Wed 9:00 coVariance Neural Networks
Saurabh Sihag · Gonzalo Mateos · Corey McMillan · Alejandro Ribeiro
Poster
Wed 9:00 Free Probability for predicting the performance of feed-forward fully connected neural networks
Reda CHHAIBI · Tariq Daouda · Ezechiel Kahn
Poster
Wed 9:00 On the Stability and Scalability of Node Perturbation Learning
Naoki Hiratani · Yash Mehta · Timothy Lillicrap · Peter E Latham