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All Mistakes Are Not Equal: Comprehensive Hierarchy Aware Multi-label Predictions (CHAMP)



Ashwin Vaswani , Gaurav Aggarwal , Praneeth Netrapalli , Narayan G Hegde


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MET: Masked Encoding for Tabular Data



Kushal Majmundar , Sachin Goyal , Praneeth Netrapalli , Prateek Jain

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

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Reproducibility in Optimization: Theoretical Framework and Limits



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

* 51 pages 

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Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness



Ankit Garg , Robin Kothari , Praneeth Netrapalli , Suhail Sherif

* To be presented as a spotlight talk at NeurIPS 2021 

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



Naman Agarwal , Syomantak Chaudhuri , Prateek Jain , Dheeraj Nagaraj , Praneeth Netrapalli

* Under Review, V2 has updated acknowledgements 

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Focus on the Common Good: Group Distributional Robustness Follows



Vihari Piratla , Praneeth Netrapalli , Sunita Sarawagi

* Under review; Code can be found at: https://github.com/vps-anonconfs/cg-iclr22 

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Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems



Prateek Jain , Suhas S Kowshik , Dheeraj Nagaraj , Praneeth Netrapalli


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Minimax Optimization with Smooth Algorithmic Adversaries



Tanner Fiez , Chi Jin , Praneeth Netrapalli , Lillian J. Ratliff


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Sample Efficient Linear Meta-Learning by Alternating Minimization



Kiran Koshy Thekumparampil , Prateek Jain , Praneeth Netrapalli , Sewoong Oh


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