Wai Ming Tai
10 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (20) π Trend Setter
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Research topics
Machine Learning
(10)
Core Methods
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(6)
Bayesian & Probabilistic Β· Machine Learning
(5)
Mathematics
(5)
Artificial Intelligence
(3)
Learning Paradigms
(2)
Learning Types
(2)
Optimization
(2)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Probability
(1)
Keywords
sample complexity
(5)
structure learning
(3)
graphical model
(3)
single-index model
(2)
gaussian graphical model
(2)
density estimation
(2)
latent variable model
(2)
curse of dimensionality
(1)
agnostic learning
(1)
active learning
(1)
kullback-leibler divergence
(1)
convergence
(1)
graphical model inference
(1)
query complexity
(1)
sparse coding
(1)
gaussian trees
(1)
minimax optimal
(1)
sparse representation
(1)
distribution learning
(1)
conditional independence
(1)
Papers
Dimension-Independent Rates for Structured Neural Density Estimation
ICML 2025
Near-optimal Active Regression of Single-Index Models
ICLR 2025
Agnostic Active Learning of Single Index Models with Linear Sample Complexity
COLT 2024
Breaking the curse of dimensionality in structured density estimation
NeurIPS 2024
Inconsistency of Cross-Validation for Structure Learning in Gaussian Graphical Models
AISTATS 2024
Optimal estimation of Gaussian (poly)trees
AISTATS 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