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Arpit Agarwal
Arpit Agarwal
Postdoctoral Research Scientist, Meta AI
Verified email at meta.com - Homepage
Title
Cited by
Cited by
Year
Informed truthfulness in multi-task peer prediction
V Shnayder, A Agarwal, R Frongillo, DC Parkes
Proceedings of the 2016 ACM Conference on Economics and Computation, 179-196, 2016
1482016
Learning with limited rounds of adaptivity: Coin tossing, multi-armed bandits, and ranking from pairwise comparisons
A Agarwal, S Agarwal, S Assadi, S Khanna
Conference on Learning Theory, 39-75, 2017
1062017
Peer prediction with heterogeneous users
A Agarwal, D Mandal, DC Parkes, N Shah
ACM Transactions on Economics and Computation (TEAC) 8 (1), 1-34, 2020
562020
Accelerated spectral ranking
A Agarwal, P Patil, S Agarwal
International Conference on Machine Learning, 70-79, 2018
552018
On consistent surrogate risk minimization and property elicitation
A Agarwal, S Agarwal
Conference on Learning Theory, 4-22, 2015
352015
Stochastic submodular cover with limited adaptivity
A Agarwal, S Assadi, S Khanna
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
252019
Choice bandits
A Agarwal, N Johnson, S Agarwal
Advances in neural information processing systems 33, 18399-18410, 2020
192020
Batched dueling bandits
A Agarwal, R Ghuge, V Nagarajan
International Conference on Machine Learning, 89-110, 2022
112022
Gev-canonical regression for accurate binary class probability estimation when one class is rare
A Agarwal, H Narasimhan, S Kalyanakrishnan, S Agarwal
International Conference on Machine Learning, 1989-1997, 2014
102014
Stochastic dueling bandits with adversarial corruption
A Agarwal, S Agarwal, P Patil
Algorithmic Learning Theory, 217-248, 2021
92021
Rank aggregation from pairwise comparisons in the presence of adversarial corruptions
A Agarwal, S Agarwal, S Khanna, P Patil
International Conference on Machine Learning, 85-95, 2020
92020
Sublinear algorithms for hierarchical clustering
A Agarwal, S Khanna, H Li, P Patil
Advances in Neural Information Processing Systems 35, 3417-3430, 2022
82022
A sharp memory-regret trade-off for multi-pass streaming bandits
A Agarwal, S Khanna, P Patil
Conference on Learning Theory, 1423-1462, 2022
82022
Online recommendations for agents with discounted adaptive preferences
A Agarwal, W Brown
arXiv preprint arXiv:2302.06014, 2023
32023
Diversified recommendations for agents with adaptive preferences
A Agarwal, W Brown
arXiv preprint arXiv:2210.07773, 2022
32022
PAC Top- Identification under SST in Limited Rounds
A Agarwal, S Khanna, P Patil
International Conference on Artificial Intelligence and Statistics, 6814-6839, 2022
22022
When Can We Track Significant Preference Shifts in Dueling Bandits?
J Suk, A Agarwal
Advances in Neural Information Processing Systems 36, 2024
12024
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem
A Agarwal, R Ghuge
Advances in Neural Information Processing Systems 35, 28914-28927, 2022
12022
On Connections Between Machine Learning And Information Elicitation, Choice Modeling, And Theoretical Computer Science
A Agarwal
University of Pennsylvania, 2021
2021
Informed Truthfulness for Multi-Task Peer Prediction (short paper)
V SHNAYDER, A AGARWAL, R FRONGILLO, DC PARKES
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