Ofer Meshi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
6
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | ConvApparel: A Benchmark Dataset and Validation Framework for User Simulators in Conversational Recommenders. | Ofer Meshi, Krisztian Balog, Sally Goldman, Avi Caciularu, Guy Tennenholtz, Jihwan Jeong, Amir Globerson, Craig Boutilier |
| 2024 | IJCAI | Model-Free Preference Elicitation. | Carlos Martin, Craig Boutilier, Ofer Meshi, Tuomas Sandholm |
| 2024 | SIGIR | Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. | Chih-Wei Hsu, Martin Mladenov, Ofer Meshi, James Pine, Hubert Pham, Shane Li, Xujian Liang, Anton Polishko, Li Yang, Ben Scheetz, Craig Boutilier |
| 2023 | AISTATS | Overcoming Prior Misspecification in Online Learning to Rank. | Javad Azizi, Ofer Meshi, Masrour Zoghi, Maryam Karimzadehgan |
| 2022 | AISTATS | On the Value of Prior in Online Learning to Rank. | Branislav Kveton, Ofer Meshi, Masrour Zoghi, Zhen Qin |
| 2019 | IJCAI | Advantage Amplification in Slowly Evolving Latent-State Environments. | Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier |
| 2018 | IJCAI | Planning and Learning with Stochastic Action Sets. | Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans |
| 2017 | IJCAI | Logistic Markov Decision Processes. | Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu |
| 2016 | AISTATS | Fast and Scalable Structural SVM with Slack Rescaling. | Heejin Choi, Ofer Meshi, Nathan Srebro |
| 2016 | ICML | Train and Test Tightness of LP Relaxations in Structured Prediction. | Ofer Meshi, Mehrdad Mahdavi, Adrian Weller, David A. Sontag |
| 2015 | AISTATS | Efficient Training of Structured SVMs via Soft Constraints. | Ofer Meshi, Nathan Srebro, Tamir Hazan |
| 2014 | AISTATS | Learning Structured Models with the AUC Loss and Its Generalizations. | Nir Rosenfeld, Ofer Meshi, Daniel Tarlow, Amir Globerson |
| 2013 | UAI | Learning Max-Margin Tree Predictors. | Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson |
| 2010 | ICML | Learning Efficiently with Approximate Inference via Dual Losses. | Ofer Meshi, David A. Sontag, Tommi S. Jaakkola, Amir Globerson |
| 2009 | UAI | Convexifying the Bethe Free Energy. | Ofer Meshi, Ariel Jaimovich, Amir Globerson, Nir Friedman |
| 2007 | UAI | Template Based Inference in Symmetric Relational Markov Random Fields. | Ariel Jaimovich, Ofer Meshi, Nir Friedman |