SGB: Stochastic Gradient Bound Method for Optimizing Partition Functions. - Jing Wang 178; Anna Choromanska (CoRR, 2020)

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape. - Devansh Bisla; Jing Wang 178; Anna Choromanska (AISTATS, 2022)

Automatic document classification via transformers for regulations compliance management in large utility companies. - Tolga Dimlioglu; Jing Wang 178; Devansh Bisla; Anna Choromanska; Simon Odie; Leon Bukhman; Afolabi Olomola; James D. Wong (Neural Comput. Appl., 2023)

Adjacent Leader Decentralized Stochastic Gradient Descent. - Haoze He; Jing Wang 178; Anna Choromanska (ECAI, 2024)

AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop. - Jing Wang 178; Yunfei Teng; Anna Choromanska (UAI, 2024)

A Survey of Optimization Methods for Training DL Models: Theoretical Perspective on Convergence and Generalization. - Jing Wang 178; Anna Choromanska (CoRR, 2025)