Prathamesh Patil

According to our database, Prathamesh Patil authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Misalignment, Learning, and Ranking: Harnessing Users Limited Attention.

Arpit Agarwal, Rad Niazadeh, Prathamesh Patil

CoRR, 2024

Parallel Approximate Maximum Flows in Near-Linear Work and Polylogarithmic Depth.

Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil, Chen Wang, Nathan White, Peilin Zhong

Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023

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., June, 2023

2022

Sublinear Algorithms for Hierarchical Clustering.

Arpit Agarwal, Sanjeev Khanna, Huan Li, Prathamesh Patil

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits.

Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

PAC Top-k Identification under SST in Limited Rounds.

Arpit Agarwal, Sanjeev Khanna, Prathamesh Patil

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Stochastic Dueling Bandits with Adversarial Corruption.

Arpit Agarwal, Shivani Agarwal, Prathamesh Patil

Proceedings of the Algorithmic Learning Theory, 2021

2020

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions.

Arpit Agarwal, Shivani Agarwal, Sanjeev Khanna, Prathamesh Patil

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Accelerated Spectral Ranking.

Arpit Agarwal, Prathamesh Patil, Shivani Agarwal

Proceedings of the 35th International Conference on Machine Learning, 2018