Wai Ming Tai
10 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (16) π Interdisciplinary Bridge π Academic Marathon (6)
π
Cross-Pollinator
(13)
π
Century Club
(10)
Conferences
AISTATS (3)
COLT (3)
ICML (2)
ICLR (1)
NIPS (1)
Top co-authors
Research topics
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