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Priyank Agrawal
Priyank Agrawal
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Learning-augmented mechanism design: Leveraging predictions for facility location
P Agrawal, E Balkanski, V Gkatzelis, T Ou, X Tan
Proceedings of the 23rd ACM Conference on Economics and Computation, 497-528, 2022
222022
Improved worst-case regret bounds for randomized least-squares value iteration
P Agrawal, J Chen, N Jiang
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6566-6573, 2021
212021
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
112023
Incentivising exploration and recommendations for contextual bandits with payments
P Agrawal, T Tulabandhula
Multi-Agent Systems and Agreement Technologies: 17th European Conference …, 2020
42020
Learning by repetition: Stochastic multi-armed bandits under priming effect
P Agrawal, T Tulabandula
Conference on Uncertainty in Artificial Intelligence, 470-479, 2020
32020
Bandits with Temporal Stochastic Constraints
P Agrawal, T Tulabandhula
arXiv preprint arXiv:1811.09026, 2018
2018
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Articles 1–6