Changyu Gao

According to our database, Changyu Gao authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

2024

Optimal Rates for Robust Stochastic Convex Optimization.

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

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, 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