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DISCO : efficient unsupervised decoding for discrete natural language problems via convex relaxation


Jul 07, 2021
Anish Acharya, Rudrajit Das, Greg Durrett, Inderjit Dhillon, Sujay Sanghavi


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Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees


Jun 09, 2021
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit Dhillon


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Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy


Feb 15, 2021
Rajat Sen, Alexander Rakhlin, Lexing Ying, Rahul Kidambi, Dean Foster, Daniel Hill, Inderjit Dhillon


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Voting based ensemble improves robustness of defensive models


Nov 28, 2020
Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit Dhillon


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On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization


Nov 20, 2020
Abolfazl Hashemi, Anish Acharya, Rudrajit Das, Haris Vikalo, Sujay Sanghavi, Inderjit Dhillon


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Learning from eXtreme Bandit Feedback


Sep 27, 2020
Romain Lopez, Inderjit Dhillon, Michael I. Jordan


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Extreme Multi-label Classification from Aggregated Labels


Apr 01, 2020
Yanyao Shen, Hsiang-fu Yu, Sujay Sanghavi, Inderjit Dhillon


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Learning to Encode Position for Transformer with Continuous Dynamical Model


Mar 13, 2020
Xuanqing Liu, Hsiang-Fu Yu, Inderjit Dhillon, Cho-Jui Hsieh

* Code to be released in https://github.com/xuanqing94/FLOATER 

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CAT: Customized Adversarial Training for Improved Robustness


Feb 17, 2020
Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit Dhillon, Cho-Jui Hsieh


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Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting


May 09, 2019
Rajat Sen, Hsiang-Fu Yu, Inderjit Dhillon


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A Modular Deep Learning Approach for Extreme Multi-label Text Classification


May 07, 2019
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit Dhillon


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Online Embedding Compression for Text Classification using Low Rank Matrix Factorization


Nov 01, 2018
Anish Acharya, Rahul Goel, Angeliki Metallinou, Inderjit Dhillon

* Accepted in Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) 

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Kernel Ridge Regression via Partitioning


Aug 05, 2016
Rashish Tandon, Si Si, Pradeep Ravikumar, Inderjit Dhillon

* 40 pages 

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Coordinate Descent Methods for Symmetric Nonnegative Matrix Factorization


May 31, 2016
Arnaud Vandaele, Nicolas Gillis, Qi Lei, Kai Zhong, Inderjit Dhillon

* IEEE Transactions on Signal Processing 64 (21), pp. 5571-5584, 2016 
* 25 pages, 5 figures, 7 tables. Main changes: comparison with another symNMF algorithm (namely, BetaSNMF), and correction of an error in the convergence proof 

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Structured Sparse Regression via Greedy Hard-Thresholding


May 27, 2016
Prateek Jain, Nikhil Rao, Inderjit Dhillon


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