1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2025
Towards Better Generalization via Distributional Input Projection Network
Yifan Hao, Yanxin Lu, Hanning Zhang +2
As overparameterized models become increasingly prevalent, training loss alone offers limited insight into generalization performance. While smoothness has been linked to improved…
stat.ML2025★ 1 cited
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
Marin Šola, Peter Bühlmann, Xinwei Shen
Distributional robustness is a central goal of prediction algorithms due to the prevalent distribution shifts in real-world data. The prediction model aims to minimize the worst-ca…
cs.LG2025
Reverse Markov Learning: Multi-Step Generative Models for Complex Distributions
Xinwei Shen, Nicolai Meinshausen, Tong Zhang
Learning complex distributions is a fundamental challenge in contemporary applications. Shen and Meinshausen (2024) introduced engression, a generative approach based on scoring ru…