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2020 – today
- 2024
[i9]Tim Tsz-Kit Lau
, Han Liu, Mladen Kolar:
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods. CoRR abs/2402.11215 (2024)- [i8]Tim Tsz-Kit Lau, Weijian Li, Chenwei Xu, Han Liu, Mladen Kolar:
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods. CoRR abs/2406.13936 (2024) - 2023
- [i7]Tim Tsz-Kit Lau, Han Liu, Thomas Pock:
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms. CoRR abs/2305.15988 (2023) - 2022
- [c4]Tim Tsz-Kit Lau, Han Liu:
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes. ICML 2022: 12049-12077 - [i6]Tim Tsz-Kit Lau, Biswa Sengupta:
The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications. CoRR abs/2203.07092 (2022) - [i5]Tim Tsz-Kit Lau, Han Liu:
Wasserstein Distributionally Robust Optimization via Wasserstein Barycenters. CoRR abs/2203.12136 (2022) - [i4]Tim Tsz-Kit Lau, Han Liu:
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes. CoRR abs/2207.04387 (2022)
2010 – 2019
- 2019
- [j1]Emilie Chouzenoux, Tim Tsz-Kit Lau, Claire Lefort, Jean-Christophe Pesquet:
Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging. J. Math. Imaging Vis. 61(7): 1037-1050 (2019) - [c3]Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao:
Global Convergence of Block Coordinate Descent in Deep Learning. ICML 2019: 7313-7323 - 2018
- [c2]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. ICLR (Workshop) 2018 - [c1]Tim Tsz-Kit Lau, Emilie Chouzenoux, Claire Lefort, Jean-Christophe Pesquet:
Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy. ISBI 2018: 484-488 - [i3]Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao:
Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees. CoRR abs/1803.00225 (2018) - [i2]Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao:
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. CoRR abs/1803.09082 (2018) - 2017
- [i1]Tsz Kit Lau, Yuan Yao:
Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics. CoRR abs/1710.05338 (2017)
Coauthor Index
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