Sun, Yuxin

10 publications

NeurIPS 2025 Revisiting Agnostic Boosting Arthur da Cunha, Mikael Møller Høgsgaard, Andrea Paudice, Yuxin Sun

JMLR 2024 A PDE-Based Explanation of Extreme Numerical Sensitivities and Edge of Stability in Training Neural Networks Yuxin Sun, Dong Lao, Anthony Yezzi, Ganesh Sundaramoorthi

NeurIPS 2023 SQ Lower Bounds for Learning Mixtures of Linear Classifiers Ilias Diakonikolas, Daniel Kane, Yuxin Sun

NeurIPS 2023 SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions Ilias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun

NeurIPS 2023 StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation Huizong Yang, Yuxin Sun, Ganesh Sundaramoorthi, Anthony Yezzi

COLT 2022 Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models Ilias Diakonikolas, Daniel M. Kane, Yuxin Sun

NeurIPS 2022 SQ Lower Bounds for Learning Single Neurons with Massart Noise Ilias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun

NeurIPS 2022 Surprising Instabilities in Training Deep Networks and a Theoretical Analysis Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony Yezzi

NeurIPSW 2021 Accelerated PDEs for Construction and Theoretical Analysis of an SGD Extension Yuxin Sun, Dong Lao, Ganesh Sundaramoorthi, Anthony Yezzi

COLT 2021 Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition Ilias Diakonikolas, Daniel M. Kane, Alistair Stewart, Yuxin Sun