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