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(Nearly) Optimal Private Linear Regression via Adaptive Clipping


Jul 12, 2022
Prateek Varshney, Abhradeep Thakurta, Prateek Jain

* 41 Pages, Accepted in the 35th Annual Conference on Learning Theory (COLT 2022) 

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MET: Masked Encoding for Tabular Data


Jun 17, 2022
Kushal Majmundar, Sachin Goyal, Praneeth Netrapalli, Prateek Jain

* Under Review, 18 pages, 6 Tables, 4 Figures 

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Matryoshka Representations for Adaptive Deployment


Jun 01, 2022
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi

* 32 pages, 11 figures Edits: Fixed details about adaptive classification 

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DP-PCA: Statistically Optimal and Differentially Private PCA


May 27, 2022
Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh


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Reproducibility in Optimization: Theoretical Framework and Limits


Feb 09, 2022
Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir

* 51 pages 

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Real-time Recognition of Yoga Poses using computer Vision for Smart Health Care


Jan 19, 2022
Abhishek Sharma, Yash Shah, Yash Agrawal, Prateek Jain


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Node-Level Differentially Private Graph Neural Networks


Dec 06, 2021
Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain

* 23 pages, 3 figures 

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Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs


Oct 19, 2021
Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli

* Under Review, V2 has updated acknowledgements 

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Neural Network Compatible Off-Policy Natural Actor-Critic Algorithm


Oct 19, 2021
Raghuram Bharadwaj Diddigi, Prateek Jain, Prabuchandran K. J., Shalabh Bhatnagar


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