About Me
| I am an Associate Professor in the Department of Computer Science, Department of Mathematics, and Institute of Data Science at the National University of Singapore
My research interests are in the areas of information theory, machine learning, and high-dimensional statistics. Please see my research and publications pages for details. |
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- Office:
- COM3 #02-57 (Comp. Sci.), S17 #05-17 (Maths)
- Phone:
- +65 6516 1179 (Comp. Sci.), +65 6516 2952 (Maths)
- Email:
- "scarlett" followed by "@comp.nus.edu.sg"
News:
- (April 2026) Paper Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes uploaded to arXiv (see also the earlier AISTATS version)
- (April 2026) Paper Robust Instance Optimal Phase-Only Compressed Sensing accepted to Information and Inference
- (March 2026) Paper Batched Kernelized Bandits: Refinements and Extensions uploaded to arXiv
- (March 2026) Paper Optimal Non-Adaptive Group Testing with One-Sided Error Guarantees accepted to IEEE Transactions on Information Theory
- (Feb. 2026) Paper Envy-Free Allocation of Indivisible Goods via Noisy Queries uploaded to arXiv
- (Dec. 2025) Paper A Distribution Testing Approach to Clustering Distributions uploaded to arXiv
- (Nov. 2025) Paper A Fast Binary Splitting Approach for Non-Adaptive Learning of Erdős-Rényi Graphs uploaded to arXiv
- (July 2025) Paper Error Exponents for DNA Storage Codes with a Variable Number of Reads accepted to IEEE JSAIT
- (June 2025) Paper Exact Error Exponents of Concatenated Codes for DNA Storage accepted to IEEE Transactions on Information Theory
- (June 2025) Paper Improved Regret Bounds for Linear Bandits with Heavy-Tailed Rewards uploaded to arXiv
- (May 2025) Paper Statistical Mean Estimation with Coded Relayed Observations uploaded to arXiv
- (April 2025) Congratulations to Yang Sun for successfully defending his PhD thesis titled "Data-Driven Techniques for Inverse Problems: Priors, Measurements, and Decoding"
- (March 2025) Congratulations to Zihan Li for successfully defending her PhD thesis titled "Towards Sharp Performance Bounds for Kernel-Based Bandit Optimization Problems"
- (March 2025) Congratulations to Yan Hao Ling for successfully defending his PhD thesis titled "Coding Techniques and Information-Theoretic Limits for Multi-Hop Relaying Problems"
- (Jan. 2025) Paper Lower Bounds for Time-Varying Kernelized Bandits accepted to AISTATS 20255
- (Jan. 2025) Paper A General Framework for Clustering and Distribution Matching with Bandit Feedback accepted to IEEE Transactions on Information Theory
