Ivan Lau
Scholar

Ivan Lau

Google Scholar ID: jDu9ZzYAAAAJ
PhD student, National University of Singapore
Multi-Armed BanditsLearning TheoryOnline Learning
Citations & Impact
All-time
Citations
31
 
H-index
4
 
i10-index
1
 
Publications
11
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • - 2024: Decentralized and Equitable Optimal Transport, ACC 2024
  • - 2023: Max-Quantile Grouped Infinite-Arm Bandits, ALT 2023
  • - 2022: Model-Based and Graph-Based Priors for Group Testing, IEEE TSP
  • - 2021: Construction of binary matrices for near-optimal compressed sensing, ISIT 2021
  • - 2021: Group Testing Large Populations for SARS-CoV-2, Preprint
Research Experience
  • - August 2022 - December 2023: Research in the Electrical and Computer Engineering Ph.D. program at Rice University
Education
  • - Ph.D. in Computer Science, Present: National University of Singapore
  • - M.Sc. in Mathematics, 2021: Simon Fraser University
  • - B.Sc. in Computer Science and Mathematics, 2019: University of Edinburgh
Background
  • - Research Interests: Multi-Armed Bandits, Learning Theory, Online Learning
  • - Professional Field: Theoretical aspects of machine learning, with a focus on developing algorithms for decision-making in sequential and low-resource environments
  • - Brief Introduction: Ph.D. student in the Department of Computer Science at the National University of Singapore, advised by Jonathan Scarlett.