Systems and Methods for Calibrating Recommendations Using a Maximum Flow Approach T Jebara, H Abdollahpouri, Z Nazari, AZ Gain, M Dimakopoulou, ... US Patent App. 18/166,419, 2024 | | 2024 |
Calibrated recommendations as a minimum-cost flow problem H Abdollahpouri, Z Nazari, A Gain, C Gibson, M Dimakopoulou, ... Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 9 | 2023 |
Multistate analysis with infinite mixtures of Markov chains L Maystre, T Wu, R Sanchis-Ojeda, T Jebara Uncertainty in Artificial Intelligence, 1350-1359, 2022 | | 2022 |
Selectively Contextual Bandits C Roberts, M Dimakopoulou, Q Qiao, A Chandrashekhar, T Jebara arXiv preprint arXiv:2205.04528, 2022 | 1 | 2022 |
Using survival models to estimate user engagement in online experiments P Chandar, B St. Thomas, L Maystre, V Pappu, R Sanchis-Ojeda, T Wu, ... Proceedings of the ACM Web Conference 2022, 3186-3195, 2022 | 10 | 2022 |
Identification of pattern completion neurons in neuronal ensembles using probabilistic graphical models L Carrillo-Reid, S Han, D O'Neil, E Taralova, T Jebara, R Yuste Journal of Neuroscience 41 (41), 8577-8588, 2021 | 14 | 2021 |
Accordion: a trainable simulator for long-term interactive systems J McInerney, E Elahi, J Basilico, Y Raimond, T Jebara Proceedings of the 15th ACM Conference on Recommender Systems, 102-113, 2021 | 23 | 2021 |
Beta survival models D Hubbard, B Rostykus, Y Raimond, T Jebara Survival prediction-algorithms, challenges and applications, 22-39, 2021 | 8 | 2021 |
Active multitask learning with committees J Xu, D Tang, T Jebara arXiv preprint arXiv:2103.13420, 2021 | 1 | 2021 |
Admm slim: Sparse recommendations for many users H Steck, M Dimakopoulou, N Riabov, T Jebara Proceedings of the 13th international conference on web search and data …, 2020 | 37 | 2020 |
Code relatives detection FH Su, L Sethumadhavan, GE Kaiser, T Jebara US Patent 10,459,704, 2019 | 2 | 2019 |
Variational low rank multinomials for collaborative filtering with side-information E Elahi, W Wang, D Ray, A Fenton, T Jebara Proceedings of the 13th ACM Conference on Recommender Systems, 340-347, 2019 | 16 | 2019 |
Marginal Posterior Sampling for Slate Bandits. M Dimakopoulou, N Vlassis, T Jebara IJCAI, 2223-2229, 2019 | 18 | 2019 |
Learning correlated latent representations with adaptive priors D Tang, D Liang, N Ruozzi, T Jebara arXiv preprint arXiv:1906.06419, 2019 | 1 | 2019 |
Robust learning algorithms for capturing oceanic dynamics and transport of Noctiluca blooms using linear dynamical models Y Yan, T Jebara, R Abernathey, J Goes, H Gomes Plos one 14 (6), e0218183, 2019 | 2 | 2019 |
On the design of estimators for bandit off-policy evaluation N Vlassis, A Bibaut, M Dimakopoulou, T Jebara International Conference on Machine Learning, 6468-6476, 2019 | 31 | 2019 |
Correlated variational auto-encoders D Tang, D Liang, T Jebara, N Ruozzi International Conference on Machine Learning, 6135-6144, 2019 | 21 | 2019 |
Database privacy protection devices, methods, and systems T Jebara US Patent 10,296,761, 2019 | 25 | 2019 |
A new distribution on the simplex with auto-encoding applications A Stirn, T Jebara, D Knowles Advances in Neural Information Processing Systems 32, 2019 | 7 | 2019 |
Thompson sampling for noncompliant bandits A Stirn, T Jebara arXiv preprint arXiv:1812.00856, 2018 | 3 | 2018 |