Tsz Kit Lau

According to our database, Tsz Kit Lau authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods.

Tim Tsz-Kit Lau, Han Liu, Mladen Kolar

CoRR, 2024

2023

Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms.

Tim Tsz-Kit Lau, Han Liu, Thomas Pock

CoRR, 2023

2022

Wasserstein Distributionally Robust Optimization via Wasserstein Barycenters.

Tim Tsz-Kit Lau, Han Liu

CoRR, 2022

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications.

Tim Tsz-Kit Lau, Biswa Sengupta

CoRR, 2022

Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes.

Tim Tsz-Kit Lau, Han Liu

Proceedings of the International Conference on Machine Learning, 2022

2019

Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging.

Émilie Chouzenoux, Tim Tsz-Kit Lau, Claire Lefort, Jean-Christophe Pesquet

J. Math. Imaging Vis., 2019

Global Convergence of Block Coordinate Descent in Deep Learning.

Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees.

Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao

CoRR, 2018

Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy.

Tim Tsz-Kit Lau, Émilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training.

Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics.

Tsz Kit Lau, Yuan Yao

CoRR, 2017