Lester W. Mackey
10 papers · 2008–2023 · 1 venue · across top CS/AI venues
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Achievements
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Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(8)
Core Methods
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Bayesian & Probabilistic Β· Machine Learning
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Types
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Application Areas
(1)
Applications
(1)
Mathematics
(1)
Keywords
stein variational gradient descent
(3)
particle method
(2)
dimensionality reduction
(1)
approximate inference
(1)
feature extraction
(1)
principal component analysis
(1)
matrix factorization
(1)
parallel computing
(1)
statistical learning theory
(1)
collaborative filtering
(1)
minimax optimization
(1)
gradient estimation
(1)
markov chain monte carlo
(1)
sparse principal component analysis
(1)
variance maximization
(1)
bayesian inference
(1)
hypothesis testing
(1)
nonparametric regression
(1)
eigenvalue decomposition
(1)
langevin dynamics
(1)
Papers
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
NeurIPS 2023
Learning Rate Free Sampling in Constrained Domains
NeurIPS 2023
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations
NeurIPS 2023
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
NeurIPS 2023
Gradient Estimation with Discrete Stein Operators
NeurIPS 2022
Cross-validation Confidence Intervals for Test Error
NeurIPS 2020
Minimax Estimation of Conditional Moment Models
NeurIPS 2020
Stochastic Stein Discrepancies
NeurIPS 2020
Divide-and-Conquer Matrix Factorization
NeurIPS 2011
Deflation Methods for Sparse PCA
NeurIPS 2008