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Author

Tim Tsz-Kit Lau

Observed name: Lau, Tim Tsz-Kit
ORCID: 0000-0002-5653-7232
Observed ORCID: 0000-0002-5653-7232
OpenAlex ID: A5014387645
Global Convergence of Block Coordinate Descent in Deep Learning
2018 · Zeng, Jinshan, Lau, Tim Tsz-Kit, et al. · arXiv (Cornell University) · 54
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Optimal Multivariate Gaussian Fitting with Applications to PSF Modeling in Two-Photon Microscopy Imaging
2019 · Emilie Chouzenoux, Tim Tsz-Kit Lau, et al. · Journal of Mathematical Imaging and Vision · 26
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A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
2018 · Lau, Tim Tsz-Kit, Zeng, Jinshan, et al. · arXiv (Cornell University) · 18
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Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy
2018 · Tim Tsz-Kit Lau, Emilie Chouzenoux, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 6
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AdAdaGrad: Adaptive batch size schemes for adaptive gradient methods
2026 · Tim Tsz-Kit Lau, Han Liu, et al. · Statistical Learning and Data Science · 3
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Block Coordinate Descent for Deep Learning: Unified Convergence Guarantees.
2018 · Jinshan Zeng, Tim Tsz-Kit Lau, et al. · arXiv (Cornell University) · 3
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
2024 · Tim Tsz-Kit Lau, Han Liu, et al. · Springer INdAM series · 2
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Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
2022 · Lau, Tim Tsz-Kit, Liu, Han · arXiv (Cornell University) · 2
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The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications
2022 · Lau, Tim Tsz-Kit, Sengupta, Biswa · arXiv (Cornell University) · 2
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Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism
2024 · Lau, Tim Tsz-Kit, Li, Weijian, et al. · arXiv (Cornell University) · 1
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Rank-Efficient LoRA via Joint Tangent-Space Optimization under Isotropic Curvature
2026 · Zhu, Zihan, Du, Zhehang, et al. · arXiv (Cornell University)
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Symmetry-Compatible Principle for Optimizer Design: Embeddings, LM Heads, SwiGLU MLPs, and MoE Routers
2026 · Lau, Tim Tsz-Kit, Su, Weijie · arXiv (Cornell University)
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PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective
2025 · Lau, Tim Tsz-Kit, Long, Qi, et al. · arXiv (Cornell University)
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Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods
2024 · Lau, Tim Tsz-Kit, Li, Weijian, et al. · arXiv (Cornell University)
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Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters
2022 · Lau, Tim Tsz-Kit, Liu, Han · arXiv (Cornell University)
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Works count: 16
Citation count: 117
H-index: 4
I10-index: 3
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