Publications

Ivan Lau, Jonathan Scarlett (2026). Open Problem: Is Interaction Necessary for Order-Optimal 1-bit Mean Estimation?. COLT 2026.

Ivan Lau, Daniel McMorrow, Kevin Jamieson, Jonathan Scarlett (2026). Batched Stochastic Linear Bandits with 1-Bit Communication Constraints. In Submission.

Ivan Lau, Jonathan Scarlett (2026). Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes. In Submission.

Ivan Lau, Jonathan Scarlett (2026). Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity. AISTATS 2026.

Ivan Lau, Jonathan Scarlett (2025). Quantile Multi-Armed Bandits with 1-bit Feedback. ALT 2025.

Ivan Lau, Shiqian Ma, Cesar Uribe (2024). Decentralized and Equitable Optimal Transport. ACC 2024.

Ivan Lau, Yan Hao Ling, Mayank Shrivastava, Jonathan Scarlett (2023). Max-Quantile Grouped Infinite-Arm Bandits. ALT 2023.

Ivan Lau, Jonathan Scarlett, Yang Sun (2022). Model-Based and Graph-Based Priors for Group Testing. IEEE TSP.

Ivan Lau, Jonathan Jedwab (2021). Construction of binary matrices for near-optimal compressed sensing. ISIT 2021.

Hooman Zabeti, Nick Dexter, Ivan Lau, Leonhardt Unruh, Ben Adcock, Leonid Chindelevitch (2021). Group Testing Large Populations for SARS-CoV-2. Preprint.