| Mnl-bandit: A dynamic learning approach to assortment selection S Agrawal, V Avadhanula, V Goyal, A Zeevi Operations Research 67 (5), 1453-1485, 2019 | 116 | 2019 |
| Thompson Sampling for the MNL-Bandit S Agrawal, V Avadhanula, V Goyal, A Zeevi Proceedings of the 2017 Conference on Learning Theory, 65:76-78, 2017 | 94 | 2017 |
| A near-optimal exploration-exploitation approach for assortment selection S Agrawal, V Avadhanula, V Goyal, A Zeevi Proceedings of the 2016 ACM Conference on Economics and Computation, 599-600, 2016 | 56 | 2016 |
| A few good predictions: selective node labeling in a social network G Chaudhari, V Avadhanula, S Sarawagi Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 18 | 2014 |
| Thompson sampling for contextual bandit problems with auxiliary safety constraints S Daulton, S Singh, V Avadhanula, D Dimmery, E Bakshy arXiv preprint arXiv:1911.00638, 2019 | 13 | 2019 |
| Stochastic bandits for multi-platform budget optimization in online advertising V Avadhanula, R Colini Baldeschi, S Leonardi, KA Sankararaman, ... Proceedings of the Web Conference 2021, 2805-2817, 2021 | 8 | 2021 |
| Multi-armed Bandits with Cost Subsidy D Sinha, KA Sankararaman, A Kazerouni, V Avadhanula Proceedings of the 24th International Conference on Artificial Intelligence …, 2021 | 8 | 2021 |
| The MNL-Bandit Problem: Theory and Applications V Avadhanula Columbia University, 2019 | 7 | 2019 |
| On the tightness of an LP relaxation for rational optimization and its applications V Avadhanula, J Bhandari, V Goyal, A Zeevi Operations Research Letters 44 (5), 612-617, 2016 | 6 | 2016 |
| A tractable online learning algorithm for the multinomial logit contextual bandit P Agrawal, V Avadhanula, T Tulabandhula arXiv preprint arXiv:2011.14033, 2020 | 3 | 2020 |
| Robust and fair work allocation A Allouah, C Kroer, X Zhang, V Avadhanula, A Dania, C Gocmen, ... arXiv preprint arXiv:2202.05194, 2022 | 2 | 2022 |
| Top K Ranking for Multi-Armed Bandit with Noisy Evaluations E Garcelon, V Avadhanula, A Lazaric, M Pirotta International Conference on Artificial Intelligence and Statistics, 6242-6269, 2022 | | 2022 |
| QUEST: Queue Simulation for Content Moderation at Scale R Makhijani, P Shah, V Avadhanula, C Gocmen, NE Stier-Moses, ... arXiv preprint arXiv:2103.16816, 2021 | | 2021 |
| Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. P Agrawal, V Avadhanula, T Tulabandhula CoRR, 2020 | | 2020 |
| Dual Degree Seminar V Avadhanula | | 2012 |
| MNL-Bandit: Theory and Applications V Avadhanula COLUMBIA UNIVERSITY, 0 | | |
| An Optimal Exploration-Exploitation Approach for Assortment Selection S AGRAWAL, V AVADHANULA, V GOYAL, A ZEEVI | | |
Vineet GoyalColumbia UniversityVerifierad e-postadress på ieor.columbia.edu
