Changyu Gao

According to our database, Changyu Gao authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Optimal Rates for Robust Stochastic Convex Optimization.

Changyu Gao, Andrew Lowy, Xingyu Zhou, Stephen J. Wright

Proceedings of the 6th Symposium on Foundations of Responsible Computing, 2025

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, Lise Getoor

CoRR, 2024

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning.

Charles Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor

CoRR, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning.

Charles Andrew Dickens, Changyu Gao, Connor Pryor, Stephen J. Wright, Lise Getoor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Differentially Private Optimization for Smooth Nonconvex ERM.

Changyu Gao, Stephen J. Wright

CoRR, 2023