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Justin Domke — most-cited papers & profile · Generative Models
← authors
·
overview
Justin Domke
16
papers ·
86
citations ·
13
h-index
University of Massachusetts Amherst
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Importance Weighting and Variational Inference
2018 · 51 citations
Using Large Ensembles of Control Variates for Variational Inference
2018 · 10 citations
Provable Smoothness Guarantees for Black-Box Variational Inference
2019 · 6 citations
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
2019 · 6 citations
Provable Gradient Variance Guarantees for Black-Box Variational Inference
2019 · 2 citations
Approximation Based Variance Reduction for Reparameterization Gradients
2020 · 2 citations
MCMC Variational Inference via Uncorrected Hamiltonian Annealing
2021 · 2 citations
Variational Marginal Particle Filters
2021 · 2 citations
Amortized Variational Inference for Simple Hierarchical Models
2021 · 2 citations
Provable convergence guarantees for black-box variational inference
2023 · 2 citations
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding
2018 · 1 citations
Model-Informed Flows for Bayesian Inference
2025
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI
2017
Variational Inference with Locally Enhanced Bounds for Hierarchical Models
2022
Langevin Diffusion Variational Inference
2022
Top co-authors
Tomas Geffner
· 6
Daniel Sheldon
· 3
Abhinav Agrawal
· 1
Ga Wu
· 1
Guillaume Garrigos
· 1
Jinlin Lai
· 1
Joohwan Ko
· 1
Robert M. Gower
· 1
Scott Sanner
· 1
Xi Wang
· 1
Topics
stat.AP
stat.TH
stat.ML
math.ST
cs.NA
math.OC
Training & Sampling
Conditioning & Control
Uncategorized
Diffusion Models