| 2025 | AISTATS | Bayesian Off-Policy Evaluation and Learning for Large Action Spaces. | Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba |
| 2024 | RecSys | Why the Shooting in the Dark Method Dominates Recommender Systems Practice. | David Rohde |
| 2024 | UAI | Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling. | Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba |
| 2023 | AAAI | Fast Offline Policy Optimization for Large Scale Recommendation. | Otmane Sakhi, David Rohde, Alexandre Gilotte |
| 2023 | ICML | Exponential Smoothing for Off-Policy Learning. | Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba |
| 2022 | KDD | Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. | Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono |
| 2021 | KDD | Bayesian Causal Inference for Real World Interactive Systems. | Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang |
| 2021 | RecSys | SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. | Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom |
| 2020 | KDD | Joint Policy-Value Learning for Recommendation. | Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire |
| 2020 | KDD | BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. | Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile |
| 2020 | RecSys | Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. | David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi |
| 2013 | PAKDD | Visual Data Mining Methods for Kernel Smoothed Estimates of Cox Processes. | David Rohde, Ruth Huang, Jonathan Corcoran, Gentry White |
| 2012 | IDEAL | Visualization of Predictive Distributions for Discrete Spatial-Temporal Log Cox Processes Approximated with MCMC. | David Rohde, Jonathan Corcoran, Gentry White, Ruth Huang |
| 2004 | IDEAL | Machine Learning for Matching Astronomy Catalogues. | David Rohde, Michael Drinkwater, Marcus Gallagher, Tom Downs, Marianne Doyle |