MNL-bandit: A dynamic learning approach to assortment selection S Agrawal, V Avadhanula, V Goyal, A Zeevi Operations Research 67 (5), 1453-1485, 2019 | 201 | 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 | 135 | 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 | 68 | 2016 |
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 | 47 | 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 | 22 | 2021 |
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 | 22 | 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 | 20 | 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 | 17 | 2016 |
A tractable online learning algorithm for the multinomial logit contextual bandit P Agrawal, T Tulabandhula, V Avadhanula European Journal of Operational Research 310 (2), 737-750, 2023 | 15 | 2023 |
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 | 8 | 2021 |
The MNL-Bandit problem: Theory and applications V Avadhanula Columbia University, 2019 | 8 | 2019 |
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 | 7 | 2022 |
Robust and fair work allocation A Allouah, C Kroer, X Zhang, V Avadhanula, A Dania, C Gocmen, ... arXiv preprint arXiv:2202.05194, 2022 | 7 | 2022 |
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms V Avadhanula, OA Baki, H Bastani, O Bastani, C Gocmen, D Haimovich, ... arXiv preprint arXiv:2211.06516, 2022 | 5 | 2022 |
Fair allocation over time, with applications to content moderation A Allouah, C Kroer, X Zhang, V Avadhanula, N Bohanon, A Dania, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
Fully dynamic online selection through online contention resolution schemes V Avadhanula, A Celli, R Colini-Baldeschi, S Leonardi, M Russo Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6693-6700, 2023 | 3 | 2023 |
The MNL-bandit problem S Agrawal, V Avadhanula, V Goyal, A Zeevi The elements of joint learning and optimization in operations management …, 2022 | 1 | 2022 |
Routing messages through a secure messaging platform UH Barlaskar, V Avadhanula, NES Moses, EA Ribas, R Papeka US Patent App. 17/939,853, 2023 | | 2023 |
Improved Optimistic Algorithm For The Multinomial Logit Contextual Bandit. P Agrawal, V Avadhanula, T Tulabandhula CoRR, 2020 | | 2020 |
Dual Degree Seminar V Avadhanula | | 2012 |