Geometry-induced Implicit Regularization in Deep ReLU Neural Networksby Joachim Bona-Pellissier, Fran çois Malgouyres, Fran çois…
Model Collapse Demystified: The Case of Regressionby Elvis Dohmatob, Yunzhen Feng, Julia KempeFirst submitted to…
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passingby Wei Xu, An…
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attentionby Fangyu Ding, Haiyang…
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completionby Jianhao Ma, Salar FattahiFirst…
Generative Adversarial Model-Based Optimization via Source Critic Regularizationby Michael S. Yao, Yimeng Zeng, Hamsa Bastani,…
Convergence of a L2 regularized Policy Gradient Algorithm for the Multi Armed Banditby Stefana Anita,…
Gradient Aligned Regression via Pairwise Lossesby Dixian Zhu, Tianbao Yang, Livnat JerbyFirst submitted to arxiv…
Phase-driven Domain Generalizable Learning for Nonstationary Time Seriesby Payal Mohapatra, Lixu Wang, Qi ZhuFirst submitted…
Generalized Preference Optimization: A Unified Approach to Offline Alignmentby Yunhao Tang, Zhaohan Daniel Guo, Zeyu…