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Lau, Tim Tsz-Kit

  1. PolarGrad: A Class of Matrix-Gradient Optimizers from a Unifying Preconditioning Perspective
    2025/05/27 by Lau, Tim Tsz-Kit, Long, Qi, Su, Weijie · 14 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  2. A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
    2018/03/24 by Tim Tsz-Kit Lau, Lau, Tim Tsz-Kit, Jinshan Zeng +5 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  3. Communication-Efficient Adaptive Batch Size Strategies for Distributed Local Gradient Methods
    2024/06/20 by Lau, Tim Tsz-Kit, Li, Weijian, Xu, Chenwei +2 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  4. The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications
    2022/03/14 by Tim Tsz-Kit Lau, Biswa Sengupta, Lau, Tim Tsz-Kit +1 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Advanced Manufacturing and Logistics Optimization #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Optimization and Search Problems
  5. Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes
    2022/07/10 by Lau, Tim Tsz-Kit, Liu, Han · 1 citation
    #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
    2023/05/25 by Tim Tsz-Kit Lau, Han Liu, Lau, Tim Tsz-Kit +3 · 1 citation
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Bayesian Methods and Mixture Models #Statistical Methods and Inference
  7. AdAdaGrad: Adaptive Batch Size Schemes for Adaptive Gradient Methods
    2024/02/17 by Lau, Tim Tsz-Kit, Liu, Han, Kolar, Mladen · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)