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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Discrete Attacks and Submodular Optimization with Applications to Text Classification

Dec 01, 2018
Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock

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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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Extreme Stochastic Variational Inference: Distributed and Asynchronous

Aug 03, 2018
Jiong Zhang, Parameswaran Raman, Shihao Ji, Hsiang-Fu Yu, S. V. N. Vishwanathan, Inderjit S. Dhillon

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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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Generalized Root Models: Beyond Pairwise Graphical Models for Univariate Exponential Families

Jun 02, 2016
David I. Inouye, Pradeep Ravikumar, Inderjit S. Dhillon

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High-dimensional Time Series Prediction with Missing Values

Feb 17, 2016
Hsiang-Fu Yu, Nikhil Rao, Inderjit S. Dhillon

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Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering

Feb 05, 2016
Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon

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* 9 pages. 2 figures 

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Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons

Jul 16, 2015
Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi, Inderjit S. Dhillon

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Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics

May 07, 2015
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon

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PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent

Apr 06, 2015
Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon

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Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators

Jan 23, 2015
Kai Zhong, Ian E. H. Yen, Inderjit S. Dhillon, Pradeep Ravikumar

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A Scalable Asynchronous Distributed Algorithm for Topic Modeling

Dec 16, 2014
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun, S. V. N Vishwanathan, Inderjit S. Dhillon

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PU Learning for Matrix Completion

Nov 22, 2014
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon

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