| 2024 | AISTATS | Reparameterized Variational Rejection Sampling. | Martin Jankowiak, Du Phan |
| 2023 | AISTATS | Bayesian Variable Selection in a Million Dimensions. | Martin Jankowiak |
| 2022 | ICML | Surrogate Likelihoods for Variational Annealed Importance Sampling. | Martin Jankowiak, Du Phan |
| 2021 | UAI | High-dimensional Bayesian optimization with sparse axis-aligned subspaces. | David Eriksson, Martin Jankowiak |
| 2020 | AISTATS | A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments. | Adam Foster, Martin Jankowiak, Matthew O'Meara, Yee Whye Teh, Tom Rainforth |
| 2020 | ICML | Parametric Gaussian Process Regressors. | Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner |
| 2020 | UAI | Deep Sigma Point Processes. | Martin Jankowiak, Geoff Pleiss, Jacob R. Gardner |
| 2019 | AISTATS | Pathwise Derivatives for Multivariate Distributions. | Martin Jankowiak, Theofanis Karaletsos |
| 2019 | ICML | Tensor Variable Elimination for Plated Factor Graphs. | Fritz Obermeyer, Eli Bingham, Martin Jankowiak, Neeraj Pradhan, Justin T. Chiu, Alexander M. Rush, Noah D. Goodman |
| 2018 | ICML | Pathwise Derivatives Beyond the Reparameterization Trick. | Martin Jankowiak, Fritz Obermeyer |
| 2017 | SDM | Uncovering the Spatiotemporal Patterns of Collective Social Activity. | Martin Jankowiak, Manuel Gomez-Rodriguez |
| 2014 | LREC | Event Extraction Using Distant Supervision. | Kevin Reschke, Martin Jankowiak, Mihai Surdeanu, Christopher D. Manning, Daniel Jurafsky |