Tim Tsz-Kit Lau

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Yuan YAOHong Kong University of Science and TechnologyPreverjeni e-poštni naslov na ust.hk
Jinshan ZengSchool of Computer and Information Engineering, Jiangxi Normal UniversityPreverjeni e-poštni naslov na ust.hk
Han LiuOrrington Lunt Professor of Computer Science, Statistics and Data Science, Northwestern UniversityPreverjeni e-poštni naslov na northwestern.edu
Jean-Christophe PesquetDistinguished Professor at CentraleSupélec, Université Paris-SaclayPreverjeni e-poštni naslov na centralesupelec.fr
Emilie ChouzenouxFull researcher, Inria Saclay, FrancePreverjeni e-poštni naslov na centralesupelec.fr
Mladen KolarUniversity of Southern CaliforniaPreverjeni e-poštni naslov na usc.edu
Thomas PockProfessor of Computer Science, TU GrazPreverjeni e-poštni naslov na icg.tugraz.at

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Tim Tsz-Kit Lau

Druga imenaTsz Kit Lau

University of Pennsylvania

Preverjeni e-poštni naslov na upenn.edu - Domača stran

Machine Learning Optimization High-Dimensional Statistics


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Global Convergence of Block Coordinate Descent in Deep Learning J Zeng, TTK Lau, S Lin, Y Yao International Conference on Machine Learning (ICML), 2019	117*	2019
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training TTK Lau, J Zeng, B Wu, Y Yao International Conference on Learning Representations (ICLR) 2018, Workshop Track, 2018	46	2018
Optimal multivariate Gaussian fitting with applications to PSF modeling in two-photon microscopy imaging E Chouzenoux, TTK Lau, C Lefort, JC Pesquet Journal of Mathematical Imaging and Vision 61, 1037-1050, 2019	27	2019
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes TTK Lau, H Liu International Conference on Machine Learning (ICML), 12049-12077, 2022	7	2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters TTK Lau, H Liu arXiv preprint arXiv:2203.12136, 2022	5	2022
The multi-agent pickup and delivery problem: Mapf, marl and its warehouse applications TTK Lau, B Sengupta arXiv preprint arXiv:2203.07092, 2022	5	2022
AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods TTK Lau, H Liu, M Kolar arXiv preprint arXiv:2402.11215, 2024	4	2024
Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy TTK Lau, E Chouzenoux, C Lefort, JC Pesquet Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018	4	2018
Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics TK Lau, Y Yao The 10th NIPS Workshop on Optimization for Machine Learning, NIPS 2017, 2017	3	2017
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo TTK Lau, H Liu, T Pock Advanced Techniques in Optimization for Machine Learning and Imaging, 83, 2024	1*	2024
Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods TTK Lau, W Li, C Xu, H Liu, M Kolar arXiv preprint arXiv:2406.13936, 2024		2024

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