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ORCIDAyush Jain 0001
Person information
- affiliation: University of California, San Diego, Department of Electrical and Computer Engineering, La Jolla, CA, USA
Other persons with the same name
- Ayush Jain — disambiguation page
- Ayush Jain 0002 — Auburn University, Department of Electrical and Computer Engineering, AL, USA
- Ayush Jain 0003 — University of Southern California, Cognitive Learning for Vision and Robotics Lab., Los Angeles, CA, USA
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2020 – today
- 2023
[b1]Ayush Jain:
Learning in the Presence of Adversaries. University of California, San Diego, USA, 2023- [c11]Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen:
Efficient List-Decodable Regression using Batches. ICML 2023: 7025-7065 - [i10]Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky:
Linear Regression using Heterogeneous Data Batches. CoRR abs/2309.01973 (2023) - 2022
- [c10]Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
Robust Estimation for Random Graphs. COLT 2022: 130-166 - [c9]Clément L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li:
The Price of Tolerance in Distribution Testing. COLT 2022: 573-624 - [c8]Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm. ICML 2022: 8427-8445 - [i9]Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
Robust estimation algorithms don't need to know the corruption level. CoRR abs/2202.05453 (2022) - [i8]Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm. CoRR abs/2202.07172 (2022) - [i7]Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen:
Efficient List-Decodable Regression using Batches. CoRR abs/2211.12743 (2022) - 2021
- [c7]Ayush Jain, Alon Orlitsky:
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free. ICML 2021: 4698-4708 - [i6]Clément L. Canonne, Ayush Jain, Gautam Kamath, Jerry Li:
The Price of Tolerance in Distribution Testing. CoRR abs/2106.13414 (2021) - [i5]Jayadev Acharya, Ayush Jain, Gautam Kamath, Ananda Theertha Suresh, Huanyu Zhang:
Robust Estimation for Random Graphs. CoRR abs/2111.05320 (2021) - 2020
- [c6]Ayush Jain, Alon Orlitsky:
Optimal Robust Learning of Discrete Distributions from Batches. ICML 2020: 4651-4660 - [c5]Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. NeurIPS 2020 - [c4]Ayush Jain, Alon Orlitsky:
Linear-Sample Learning of Low-Rank Distributions. NeurIPS 2020 - [c3]Ayush Jain, Alon Orlitsky:
A General Method for Robust Learning from Batches. NeurIPS 2020 - [i4]Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar:
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. CoRR abs/2002.09589 (2020) - [i3]Ayush Jain, Alon Orlitsky:
A General Method for Robust Learning from Batches. CoRR abs/2002.11099 (2020) - [i2]Ayush Jain, Alon Orlitsky:
Linear-Sample Learning of Low-Rank Distributions. CoRR abs/2010.00064 (2020)
2010 – 2019
- 2019
- [i1]Ayush Jain, Alon Orlitsky:
Robust Learning of Discrete Distributions from Batches. CoRR abs/1911.08532 (2019) - 2018
- [c2]Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar:
The Limits of Maxing, Ranking, and Preference Learning. ICML 2018: 1426-1435 - [c1]Ayush Jain, Himanshu Tyagi:
Effective Memory Shrinkage in Estimation. ISIT 2018: 1071-1075
Coauthor Index
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