Jayadev Acharya
Cornell University
H-index: 30
North America-United States
Top articles of Jayadev Acharya
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Optimal Rates for Nonparametric Density Estimation Under Communication Constraints | IEEE Transactions on Information Theory | Jayadev Acharya Clément L Canonne Aditya Vikram Singh Himanshu Tyagi | 2023/10/25 |
Unified lower bounds for interactive high-dimensional estimation under information constraints | Advances in Neural Information Processing Systems | Jayadev Acharya Clément L Canonne Ziteng Sun Himanshu Tyagi | 2024/2/13 |
The role of shared randomness in quantum state certification with unentangled measurements | arXiv preprint arXiv:2401.09650 | Yuhan Liu Jayadev Acharya | 2024/1/17 |
A perspective on data sharing in digital food safety systems | Chenhao Qian Yuhan Liu Cecil Barnett-Neefs Sudeep Salgia Omer Serbetci | 2023/12/20 | |
Sample Complexity of Distinguishing Cause from Effect | Jayadev Acharya Sourbh Bhadane Arnab Bhattacharyya Saravanan Kandasamy Ziteng Sun | 2023/4/11 | |
Discrete distribution estimation under user-level local differential privacy | Jayadev Acharya Yuhan Liu Ziteng Sun | 2023/4/11 | |
Hidden poison: Machine unlearning enables camouflaged poisoning attacks | Jimmy Z Di Jack Douglas Jayadev Acharya Gautam Kamath Ayush Sekhari | 2022/11/18 | |
The role of interactivity in structured estimation | Jayadev Acharya Clément L Canonne Ziteng Sun Himanshu Tyagi | 2022/6/28 | |
Robust estimation for random graphs | Jayadev Acharya Ayush Jain Gautam Kamath Ananda Theertha Suresh Huanyu Zhang | 2022/6/28 | |
Acknowledgment to Reviewers of Entropy in 2021 | Entropy Editorial Office | 2022/1/29 | |
Estimating sparse discrete distributions under privacy and communication constraints | Jayadev Acharya Peter Kairouz Yuhan Liu Ziteng Sun | 2021/3/1 | |
Information-constrained optimization: can adaptive processing of gradients help? | Advances in Neural Information Processing Systems | Jayadev Acharya Clement Canonne Prathamesh Mayekar Himanshu Tyagi | 2021/12/6 |
Remember what you want to forget: Algorithms for machine unlearning | Advances in Neural Information Processing Systems | Ayush Sekhari Jayadev Acharya Gautam Kamath Ananda Theertha Suresh | 2021/12/6 |
Differentially private assouad, fano, and le cam | Jayadev Acharya Ziteng Sun Huanyu Zhang | 2021/3/1 | |
Interactive inference under information constraints | IEEE Transactions on Information Theory | Jayadev Acharya Clément L Canonne Yuhan Liu Ziteng Sun Himanshu Tyagi | 2021/10/27 |
Inference under information constraints III: Local privacy constraints | IEEE Journal on Selected Areas in Information Theory | Jayadev Acharya Clément L Canonne Cody Freitag Ziteng Sun Himanshu Tyagi | 2021/1/22 |
Robust testing and estimation under manipulation attacks | Jayadev Acharya Ziteng Sun Huanyu Zhang | 2021/7/1 | |
Principal Bit Analysis: Autoencoding with Schur-Concave Loss | arXiv preprint arXiv:2106.02796 | Sourbh Bhadane Aaron B Wagner Jayadev Acharya | 2021/6/5 |
Distributed estimation with multiple samples per user: Sharp rates and phase transition | Advances in neural information processing systems | Jayadev Acharya Clement Canonne Yuhan Liu Ziteng Sun Himanshu Tyagi | 2021/12/6 |
Domain compression and its application to randomness-optimal distributed goodness-of-fit | Jayadev Acharya Clément L Canonne Yanjun Han Ziteng Sun Himanshu Tyagi | 2020/7/15 |
Co-Authors
