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Vashist Avadhanula
Vashist Avadhanula
Sr. Applied Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
MNL-bandit: A dynamic learning approach to assortment selection
S Agrawal, V Avadhanula, V Goyal, A Zeevi
Operations Research 67 (5), 1453-1485, 2019
1762019
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
1242017
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
642016
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
332021
Multi-armed Bandits with Cost Subsidy
D Sinha, KA Sankararaman, A Kazerouni, V Avadhanula
Proceedings of the 24th International Conference on Artificial Intelligence …, 2021
212021
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
212014
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
192019
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
142023
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
132016
The MNL-Bandit problem: Theory and applications
V Avadhanula
Columbia University, 2019
72019
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
52022
Robust and fair work allocation
A Allouah, C Kroer, X Zhang, V Avadhanula, A Dania, C Gocmen, ...
arXiv preprint arXiv:2202.05194, 2022
42022
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
42021
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
22023
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
12022
The MNL-bandit problem
S Agrawal, V Avadhanula, V Goyal, A Zeevi
The elements of joint learning and optimization in operations management …, 2022
12022
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
2023
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
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