Ayush Jain

According to our database, Ayush Jain authored at least 15 papers between 2018 and 2023.

Collaborative distances:

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

2023

Learning in the Presence of Adversaries

Ayush Jain

PhD thesis, 2023

Linear Regression using Heterogeneous Data Batches.

Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky

CoRR, 2023

Efficient List-Decodable Regression using Batches.

Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen

Proceedings of the International Conference on Machine Learning, 2023

2022

Robust estimation algorithms don't need to know the corruption level.

Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

CoRR, 2022

TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm.

Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

Proceedings of the International Conference on Machine Learning, 2022

The Price of Tolerance in Distribution Testing.

Clément L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li

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

Robust Estimation for Random Graphs.

Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang

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

2021

Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free.

Ayush Jain, Alon Orlitsky

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A General Method for Robust Learning from Batches.

Ayush Jain, Alon Orlitsky

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Linear-Sample Learning of Low-Rank Distributions.

Ayush Jain, Alon Orlitsky

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm.

Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimal Robust Learning of Discrete Distributions from Batches.

Ayush Jain, Alon Orlitsky

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

2019

Robust Learning of Discrete Distributions from Batches.

Ayush Jain, Alon Orlitsky

CoRR, 2019

2018

Effective Memory Shrinkage in Estimation.

Ayush Jain, Himanshu Tyagi

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

The Limits of Maxing, Ranking, and Preference Learning.

Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar

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