← Authors

Wai Ming Tai

10 papers · 2019–2025 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (16) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (13) πŸ’Ž Century Club (10)

Conferences

AISTATS (3) COLT (3) ICML (2) ICLR (1) NIPS (1)

Top co-authors

Bryon Aragam (7) Yi Li (2) Robert A. Vandermeulen (2) Ming Gao (2) Christopher Musco (1) Mladen Kolar (1) Yuhao Wang (1) Zhao Lyu (1) Arnab Bhattacharyya (1) Chinmay Hegde (1)

Research topics

Probability (1)

Keywords

sample complexity (4) structure learning (3) graphical model (3) gaussian graphical model (2) density estimation (1) conditional independence (1) active learning (1) latent variable model (1) sparse coding (1) kullback-leibler divergence (1) agnostic learning (1) curse of dimensionality (1) sparse representation (1) distribution learning (1) gaussian trees (1) minimax optimal (1) graphical model inference (1) markov random field (1) parameter estimation (1) matrix factorization (1)

Papers

Dimension-Independent Rates for Structured Neural Density Estimation ICML 2025
Near-optimal Active Regression of Single-Index Models ICLR 2025
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models AISTATS 2024
Breaking the curse of dimensionality in structured density estimation NIPS 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Agnostic Active Learning of Single Index Models with Linear Sample Complexity COLT 2024
Learning Mixtures of Gaussians with Censored Data ICML 2023
Tight Bounds on the Hardness of Learning Simple Nonparametric Mixtures COLT 2023
Optimal estimation of Gaussian DAG models AISTATS 2022
Approximate Guarantees for Dictionary Learning COLT 2019