Justin Domke
33 papers · 2010–2025 · 4 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 24% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Justin Domke?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
12 papers whose co-authors appear nowhere else under this name
Provable convergence guarantees for black-box variational inference
NeurIPS 2023
Provable Smoothness Guarantees for Black-Box Variational Inference
ICML 2020
Provable Gradient Variance Guarantees for Black-Box Variational Inference
NeurIPS 2019
Thompson Sampling and Approximate Inference
NeurIPS 2019
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI
ICML 2017
Clamping Improves TRW and Mean Field Approximations
AISTATS 2016
Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets
NeurIPS 2015
Reflection, Refraction, and Hamiltonian Monte Carlo
NeurIPS 2015
Finito: A faster, permutable incremental gradient method for big data problems
ICML 2014
Structured Learning via Logistic Regression
NeurIPS 2013
Generic Methods for Optimization-Based Modeling
AISTATS 2012
Implicit Differentiation by Perturbation
NeurIPS 2010