| 2025 | AISTATS | Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI. | Abhinav Agrawal, Justin Domke |
| 2025 | ICML | Understanding the difficulties of posterior predictive estimation. | Abhinav Agrawal, Justin Domke |
| 2024 | AISTATS | Joint control variate for faster black-box variational inference. | Xi Wang, Tomas Geffner, Justin Domke |
| 2024 | AISTATS | Simulation-Based Stacking. | Yuling Yao, Bruno Rgaldo-Saint Blancard, Justin Domke |
| 2024 | UAI | Sample Average Approximation for Black-Box Variational Inference. | Javier Burroni, Justin Domke, Daniel Sheldon |
| 2023 | AISTATS | Langevin Diffusion Variational Inference. | Tomas Geffner, Justin Domke |
| 2022 | AISTATS | Variational Marginal Particle Filters. | Jinlin Lai, Justin Domke, Daniel Sheldon |
| 2022 | ICML | Variational Inference with Locally Enhanced Bounds for Hierarchical Models. | Tomas Geffner, Justin Domke |
| 2021 | ICML | On the difficulty of unbiased alpha divergence minimization. | Tomas Geffner, Justin Domke |
| 2020 | AISTATS | A Rule for Gradient Estimator Selection, with an Application to Variational Inference. | Tomas Geffner, Justin Domke |
| 2020 | ICML | Provable Smoothness Guarantees for Black-Box Variational Inference. | Justin Domke |
| 2017 | ICML | A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI. | Justin Domke |
| 2016 | AISTATS | Clamping Improves TRW and Mean Field Approximations. | Adrian Weller, Justin Domke |
| 2015 | AAAI | Loss-Calibrated Monte Carlo Action Selection. | Ehsan Abbasnejad, Justin Domke, Scott Sanner |
| 2014 | ICML | Finito: A faster, permutable incremental gradient method for big data problems. | Aaron Defazio, Justin Domke, Tibrio S. Caetano |
| 2011 | AAAI | Dual Decomposition for Marginal Inference. | Justin Domke |
| 2011 | CVPR | Parameter learning with truncated message-passing. | Justin Domke |
| 2008 | CVPR | Who killed the directed model? | Justin Domke, Alap Karapurkar, Yiannis Aloimonos |
| 2008 | ICASSP | Measuring 1 | Konstantinos Bitsakos, Justin Domke, Cornelia Fermller, Yiannis Aloimonos |
| 2008 | UAI | Learning Convex Inference of Marginals. | Justin Domke |
| 2007 | CVPR | Multiple View Image Reconstruction: A Harmonic Approach. | Justin Domke, Yiannis Aloimonos |
| 2007 | ICCV | Signals on Pencils of Lines. | Justin Domke, Yiannis Aloimonos |
| 2006 | BMVC | Deformation and Viewpoint Invariant Color Histograms. | Justin Domke, Yiannis Aloimonos |
| 2006 | ECCV | A Probabilistic Framework for Correspondence and Egomotion. | Justin Domke, Yiannis Aloimonos |
| 2006 | ICRA | Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach. | Justin Domke, Yiannis Aloimonos |