Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics. - Tsz Kit Lau; Yuan Yao 011 (CoRR, 2017)

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. - Tim Tsz-Kit Lau; Jinshan Zeng; Baoyuan Wu; Yuan Yao 011 (ICLR (Workshop), 2018)

Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. - Tim Tsz-Kit Lau; Emilie Chouzenoux; Claire Lefort; Jean-Christophe Pesquet (ISBI, 2018)

Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees. - Jinshan Zeng; Tim Tsz-Kit Lau; Shaobo Lin; Yuan Yao 011 (CoRR, 2018)

Global Convergence of Block Coordinate Descent in Deep Learning. - Jinshan Zeng; Tim Tsz-Kit Lau; Shaobo Lin; Yuan Yao 011 (ICML, 2019)

Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. - Emilie Chouzenoux; Tim Tsz-Kit Lau; Claire Lefort; Jean-Christophe Pesquet (J. Math. Imaging Vis., 2019)

Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes. - Tim Tsz-Kit Lau; Han Liu 001 (ICML, 2022)

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications. - Tim Tsz-Kit Lau; Biswa Sengupta (CoRR, 2022)

Wasserstein Distributionally Robust Optimization via Wasserstein Barycenters. - Tim Tsz-Kit Lau; Han Liu 001 (CoRR, 2022)

Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms. - Tim Tsz-Kit Lau; Han Liu 001; Thomas Pock (CoRR, 2023)

AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods. - Tim Tsz-Kit Lau; Han Liu 001; Mladen Kolar (CoRR, 2024)

Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods. - Tim Tsz-Kit Lau; Weijian Li 002; Chenwei Xu; Han Liu 001; Mladen Kolar (CoRR, 2024)

Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism. - Tim Tsz-Kit Lau; Weijian Li 002; Chenwei Xu; Han Liu 001; Mladen Kolar (CPAL, 2025)

PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective. - Tim Tsz-Kit Lau; Qi Long; Weijie Su (CoRR, 2025)