Jeffrey Regier
11 papers · 2015–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
🗃️
Keyword Collector
(61)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory · Machine Learning
(10)
Deep Learning
(9)
Models
(8)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Machine Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Core Methods
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Core AI
(1)
Learning Types
(1)
Techniques
(1)
Keywords
variational inference
(7)
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)
non-convex 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
NeurIPS 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference
AISTATS 2024
Variational Inference with Coverage Guarantees in Simulation-Based Inference
ICML 2024
Variational Inference for Deblending Crowded Starfields
JMLR 2023
Normalizing Flows for Knockoff-free Controlled Feature Selection
NeurIPS 2022
Decision-Making with Auto-Encoding Variational Bayes
NeurIPS 2020
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
ICML 2019
Information Constraints on Auto-Encoding Variational Bayes
NeurIPS 2018
Stochastic Cubic Regularization for Fast Nonconvex Optimization
NeurIPS 2018
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
NeurIPS 2017
Celeste: Variational inference for a generative model of astronomical images
ICML 2015