Differentially Private Optimization for Smooth Nonconvex ERM. - Changyu Gao; Stephen J. Wright 001 (CoRR, 2023)

Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning. - Charles Andrew Dickens; Changyu Gao; Connor Pryor; Stephen J. Wright 001; Lise Getoor (ICML, 2024)

Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses. - Changyu Gao; Andrew Lowy; Xingyu Zhou; Stephen J. Wright 001 (ICML, 2024)

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. - Charles Dickens; Changyu Gao; Connor Pryor; Stephen J. Wright 001; Lise Getoor (CoRR, 2024)

A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. - Charles Dickens; Connor Pryor; Changyu Gao; Alon Albalak; Eriq Augustine; William Yang Wang; Stephen J. Wright 001; Lise Getoor (CoRR, 2024)

Optimal Rates for Robust Stochastic Convex Optimization. - Changyu Gao; Andrew Lowy; Xingyu Zhou; Stephen J. Wright 001 (FORC, 2025)