Accelerated Spectral Ranking. - Arpit Agarwal; Prathamesh Patil; Shivani Agarwal 001 (ICML, 2018)

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions. - Arpit Agarwal; Shivani Agarwal 001; Sanjeev Khanna; Prathamesh Patil (ICML, 2020)

Stochastic Dueling Bandits with Adversarial Corruption. - Arpit Agarwal; Shivani Agarwal 001; Prathamesh Patil (ALT, 2021)

PAC Top-k Identification under SST in Limited Rounds. - Arpit Agarwal; Sanjeev Khanna; Prathamesh Patil (AISTATS, 2022)

A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits. - Arpit Agarwal; Sanjeev Khanna; Prathamesh Patil (COLT, 2022)

Sublinear Algorithms for Hierarchical Clustering. - Arpit Agarwal; Sanjeev Khanna; Huan Li 002; Prathamesh Patil (NeurIPS, 2022)

Semi-Supervised Machine Learning for Fault Detection and Diagnosis of a Rooftop Unit. - Mohammed G. Albayati; Jalal Faraj; Amy E. Thompson; Prathamesh Patil; Ravi Gorthala; Sanguthevar Rajasekaran (Big Data Min. Anal., 2023)

Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth. - Arpit Agarwal; Sanjeev Khanna; Huan Li 002; Prathamesh Patil; Chen Wang 027; Nathan White; Peilin Zhong (SODA, 2024)

Misalignment, Learning, and Ranking: Harnessing Users Limited Attention. - Arpit Agarwal; Rad Niazadeh; Prathamesh Patil (CoRR, 2024)