Arpit Agarwal
Arpit Agarwal
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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
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
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
Accelerated spectral ranking
A Agarwal, P Patil, S Agarwal
International Conference on Machine Learning, 70-79, 2018
On consistent surrogate risk minimization and property elicitation
A Agarwal, S Agarwal
Conference on Learning Theory, 4-22, 2015
Stochastic submodular cover with limited adaptivity
A Agarwal, S Assadi, S Khanna
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
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
Stochastic dueling bandits with adversarial corruption
A Agarwal, S Agarwal, P Patil
Algorithmic Learning Theory, 217-248, 2021
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
Choice Bandits.
A Agarwal, N Johnson, S Agarwal
NeurIPS, 2020
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