Arpit Agarwal

31 papers A* 16A 1B 1Journal 13
YearRankTypeTitle / Venue / Authors
2024 A* conf
Learning-Augmented Dynamic Submodular Maximization.
NeurIPS
Arpit Agarwal, Eric Balkanski
2024 J jnl
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention.
CoRR
Arpit Agarwal, Rad Niazadeh, Prathamesh Patil
2024 A* conf
Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth.
SODA
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong
2024 J jnl
Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth.
CoRR
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong
2024 A* conf
Semi-Bandit Learning for Monotone Stochastic Optimization.
FOCS
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
2023 J jnl
Learning-Augmented Dynamic Submodular Maximization.
CoRR
Arpit Agarwal, Eric Balkanski
2023 J jnl
Semi-Bandit Learning for Monotone Stochastic Optimization.
CoRR
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
2022 J jnl
A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits.
CoRR
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
2022 A* conf
A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits.
COLT
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
2022 A* conf
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem.
NeurIPS
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
2022 J jnl
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem.
CoRR
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
2022 A* conf
Batched Dueling Bandits.
ICML
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
2022 J jnl
Batched Dueling Bandits.
CoRR
Arpit Agarwal, Rohan Ghuge, Viswanath Nagarajan
2022 A conf
PAC Top-k Identification under SST in Limited Rounds.
AISTATS
Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil
2022 A* conf
Sublinear Algorithms for Hierarchical Clustering.
NeurIPS
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil
2022 J jnl
Sublinear Algorithms for Hierarchical Clustering.
CoRR
Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil
2021 J jnl
PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics.
ACM Trans. Math. Softw.
Prabhu Ramachandran, Aditya Bhosale, Kunal Puri, Pawan Negi, Abhinav Muta, A. Dinesh, Dileep Menon, Rahul Govind, Suraj Sanka, Amal S. Sebastian, Ananyo Sen, Rohan Kaushik, Anshuman Kumar, Vikas Kurapati, Mrinalgouda Patil, Deep Tavker, Pankaj Pandey, Chandrashekhar Kaushik, Arkopal Dutt, Arpit Agarwal
2021 B conf
Stochastic Dueling Bandits with Adversarial Corruption.
ALT
Arpit Agarwal, Shivani Agarwal, Prathamesh Patil
2020 A* conf
Choice Bandits.
NeurIPS
Arpit Agarwal, Nicholas Johnson, Shivani Agarwal
2020 J jnl
Peer Prediction with Heterogeneous Users.
ACM Trans. Economics and Comput.
Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
2020 A* conf
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions.
ICML
Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil
2019 J jnl
PySPH: a Python-based framework for smoothed particle hydrodynamics.
CoRR
Prabhu Ramachandran, Kunal Puri, Aditya Bhosale, A. Dinesh, Abhinav Muta, Pawan Negi, Rahul Govind, Suraj Sanka, Pankaj Pandey, Chandrashekhar Kaushik, Anshuman Kumar, Ananyo Sen, Rohan Kaushik, Mrinalgouda Patil, Deep Tavker, Dileep Menon, Vikas Kurapati, Amal S. Sebastian, Arkopal Dutt, Arpit Agarwal
2019 A* conf
Stochastic Submodular Cover with Limited Adaptivity.
SODA
Arpit Agarwal, Sepehr Assadi, Sanjeev Khanna
2018 A* conf
Accelerated Spectral Ranking.
ICML
Arpit Agarwal, Prathamesh Patil, Shivani Agarwal
2018 J jnl
Stochastic Submodular Cover with Limited Adaptivity.
CoRR
Arpit Agarwal, Sepehr Assadi, Sanjeev Khanna
2017 A* conf
Learning with Limited Rounds of Adaptivity: Coin Tossing, Multi-Armed Bandits, and Ranking from Pairwise Comparisons.
COLT
Arpit Agarwal, Shivani Agarwal, Sepehr Assadi, Sanjeev Khanna
2017 A* conf
Peer Prediction with Heterogeneous Users.
EC
Arpit Agarwal, Debmalya Mandal, David C. Parkes, Nisarg Shah
2016 A* conf
Informed Truthfulness in Multi-Task Peer Prediction.
EC
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, David C. Parkes
2016 J jnl
Informed Truthfulness in Multi-Task Peer Prediction.
CoRR
Victor Shnayder, Arpit Agarwal, Rafael M. Frongillo, David C. Parkes
2015 A* conf
On Consistent Surrogate Risk Minimization and Property Elicitation.
COLT
Arpit Agarwal, Shivani Agarwal
2014 A* conf
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare.
ICML
Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal