Jeffrey Regier
11 papers · 2015–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge π Conference Polyglot (4)
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Academic Marathon
(9)
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Cross-Pollinator
(14)
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Century Club
(11)
ποΈ
Keyword Collector
(56)
Conferences
NIPS (6)
ICML (3)
AISTATS (1)
JMLR (1)
Top co-authors
Keywords
variational inference
(6)
stochastic gradient
(2)
posterior approximation
(2)
stochastic optimization
(2)
kl divergence
(2)
bayesian inference
(2)
evidence lower bound
(2)
importance sampling
(1)
markov chain monte carlo
(1)
nonconvex optimization
(1)
feature selection
(1)
density estimation
(1)
knockoff filter
(1)
reproducing kernel hilbert space
(1)
hilbert-schmidt independence criterion
(1)
gradient descent
(1)
sequential monte carlo
(1)
variance reduction
(1)
posterior estimation
(1)
decision making
(1)
Papers
Globally Convergent Variational Inference
NIPS 2024
Variational Inference with Coverage Guarantees in Simulation-Based Inference
ICML 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
AISTATS 2024
Variational Inference for Deblending Crowded Starfields
JMLR 2023
Normalizing Flows for Knockoff-free Controlled Feature Selection
NIPS 2022
Decision-Making with Auto-Encoding Variational Bayes
NIPS 2020
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
ICML 2019
Stochastic Cubic Regularization for Fast Nonconvex Optimization
NIPS 2018
Information Constraints on Auto-Encoding Variational Bayes
NIPS 2018
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
NIPS 2017
Celeste: Variational inference for a generative model of astronomical images
ICML 2015