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Inderjit S. Dhillon

Label Disentanglement in Partition-based Extreme Multilabel Classification

Jun 24, 2021
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

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Extreme Multi-label Learning for Semantic Matching in Product Search

Jun 23, 2021
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon

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* Accepted in KDD 2021 Applied Data Science Track

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DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning

Jun 13, 2021
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon

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Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification

Jun 01, 2021
Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon

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Combinatorial Bandits without Total Order for Arms

Mar 03, 2021
Shuo Yang, Tongzheng Ren, Inderjit S. Dhillon, Sujay Sanghavi

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Linear Bandit Algorithms with Sublinear Time Complexity

Mar 03, 2021
Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi

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Improved Convergence Rates for Non-Convex Federated Learning with Compression

Dec 12, 2020
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon

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Session-Aware Query Auto-completion using Extreme Multi-label Ranking

Dec 09, 2020
Nishant Yadav, Rajat Sen, Daniel N. Hill, Arya Mazumdar, Inderjit S. Dhillon

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PECOS: Prediction for Enormous and Correlated Output Spaces

Oct 12, 2020
Hsiang-Fu Yu, Kai Zhong, Inderjit S. Dhillon

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Non-Exhaustive, Overlapping Co-Clustering: An Extended Analysis

Apr 24, 2020
Joyce Jiyoung Whang, Inderjit S. Dhillon

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* "Non-Exhaustive, Overlapping Co-Clustering", Proceedings of the 26th ACM Conference on Information and Knowledge Management (CIKM), pages 2367-2370, November 2017

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Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure

Aug 27, 2019
Vikas K. Garg, Inderjit S. Dhillon, Hsiang-Fu Yu

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* Initial version

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Inverting Deep Generative models, One layer at a time

Jun 19, 2019
Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis

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Primal-Dual Block Frank-Wolfe

Jun 06, 2019
Qi Lei, Jiacheng Zhuo, Constantine Caramanis, Inderjit S. Dhillon, Alexandros G. Dimakis

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AutoAssist: A Framework to Accelerate Training of Deep Neural Networks

May 08, 2019
Jiong Zhang, Hsiang-fu Yu, Inderjit S. Dhillon

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SysML: The New Frontier of Machine Learning Systems

May 01, 2019
Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Jennifer Chayes, Eric Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konečný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Aparna Lakshmiratan, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Murray, Kunle Olukotun, Dimitris Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar

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The Limitations of Adversarial Training and the Blind-Spot Attack

Jan 15, 2019
Huan Zhang, Hongge Chen, Zhao Song, Duane Boning, Inderjit S. Dhillon, Cho-Jui Hsieh

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* Accepted by International Conference on Learning Representations (ICLR) 2019. Huan Zhang and Hongge Chen contributed equally

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Towards Fast Computation of Certified Robustness for ReLU Networks

Oct 02, 2018
Tsui-Wei Weng, Huan Zhang, Hongge Chen, Zhao Song, Cho-Jui Hsieh, Duane Boning, Inderjit S. Dhillon, Luca Daniel

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* Tsui-Wei Weng and Huan Zhang contributed equally

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Nonlinear Inductive Matrix Completion based on One-layer Neural Networks

May 26, 2018
Kai Zhong, Zhao Song, Prateek Jain, Inderjit S. Dhillon

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Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization

Mar 25, 2018
Jiong Zhang, Qi Lei, Inderjit S. Dhillon

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* main text 13 pages, 22 pages including reference and appendix

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Learning Long Term Dependencies via Fourier Recurrent Units

Mar 17, 2018
Jiong Zhang, Yibo Lin, Zhao Song, Inderjit S. Dhillon

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Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels

Nov 08, 2017
Kai Zhong, Zhao Song, Inderjit S. Dhillon

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* arXiv admin note: text overlap with arXiv:1706.03175

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Recovery Guarantees for One-hidden-layer Neural Networks

Jun 10, 2017
Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon

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* ICML 2017

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Similarity Preserving Representation Learning for Time Series Analysis

Mar 09, 2017
Qi Lei, Jinfeng Yi, Roman Vaculin, Lingfei Wu, Inderjit S. Dhillon

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A Greedy Approach for Budgeted Maximum Inner Product Search

Oct 11, 2016
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei, Inderjit S. Dhillon

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Communication-Efficient Parallel Block Minimization for Kernel Machines

Aug 05, 2016
Cho-Jui Hsieh, Si Si, Inderjit S. Dhillon

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Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies

Jun 10, 2016
David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon

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* ICML 2016

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