Inderjit S. Dhillon

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All published works

Action	Title	Year	Authors
+ PDF Chat	LASER: Attention with Exponential Transformation	2024	Sai Surya Duvvuri Inderjit S. Dhillon
+ PDF Chat	LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization	2024	J. Yen Si Si Meng Zhao G. B. Yu Sai Surya Duvvuri Inderjit S. Dhillon Cho‐Jui Hsieh Sanjiv Kumar
+ PDF Chat	Geometric Median (GM) Matching for Robust Data Pruning	2024	Anish Acharya Inderjit S. Dhillon Sujay Sanghavi
+ PDF Chat	Large Language Models are Interpretable Learners	2024	Ruochen Wang Si Si Felix Yu D. Wiesmann Cho‐Jui Hsieh Inderjit S. Dhillon
+ PDF Chat	Retraining with Predicted Hard Labels Provably Increases Model Accuracy	2024	Rudrajit Das Inderjit S. Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong
+ PDF Chat	Accelerating Primal-Dual Methods for Regularized Markov Decision Processes	2024	Haoya Li Hsiang‐Fu Yu Lexing Ying Inderjit S. Dhillon
+ PDF Chat	Towards Quantifying the Preconditioning Effect of Adam	2024	Rudrajit Das Naman Agarwal Sujay Sanghavi Inderjit S. Dhillon
+ PDF Chat	Automatic Engineering of Long Prompts	2024	Cho‐Jui Hsieh Si Si Felix Yu Inderjit S. Dhillon
+ PDF Chat	Approximate Newton Policy Gradient Algorithms	2023	Haoya Li Samarth Gupta Hsiang‐Fu Yu Lexing Ying Inderjit S. Dhillon
+ PDF Chat	FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search	2023	Patrick Chen Wei-Cheng Chang Jyun‐Yu Jiang Hsiang‐Fu Yu Inderjit S. Dhillon Cho‐Jui Hsieh
+	MatFormer: Nested Transformer for Elastic Inference	2023	Devvrit Sneha Kudugunta Aditya Kusupati Tim Dettmers Kaifeng Chen Inderjit S. Dhillon Yulia Tsvetkov Hannaneh Hajishirzi Sham M. Kakade Ali Farhadi
+	EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval	2023	Ramnath Kumar Anshul Mittal Nilesh Gupta Aditya Kusupati Inderjit S. Dhillon Prateek Jain
+	Efficacy of Dual-Encoders for Extreme Multi-Label Classification	2023	Nilesh Gupta Devvrit Khatri Ankit Singh Rawat Srinadh Bhojanapalli Prateek Jain Inderjit S. Dhillon
+	A Computationally Efficient Sparsified Online Newton Method	2023	Fnu Devvrit Sai Surya Duvvuri Rohan Anil Vineet Gupta Cho‐Jui Hsieh Inderjit S. Dhillon
+	Automatic Engineering of Long Prompts	2023	Cho‐Jui Hsieh Si Si Felix X. Yu Inderjit S. Dhillon
+ PDF Chat	Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion	2022	Adam Block Rahul Kidambi Daniel Hill Thorsten Joachims Inderjit S. Dhillon
+ PDF Chat	CAT: Customized Adversarial Training for Improved Robustness	2022	Minhao Cheng Qi Lei Pin‐Yu Chen Inderjit S. Dhillon Cho‐Jui Hsieh
+ PDF Chat	Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees	2022	Philip A. Etter Kai Zhong Hsiang‐Fu Yu Lexing Ying Inderjit S. Dhillon
+	Accelerating Primal-dual Methods for Regularized Markov Decision Processes	2022	Haoya Li Hsiang‐Fu Yu Lexing Ying Inderjit S. Dhillon
+ PDF Chat	Extreme Zero-Shot Learning for Extreme Text Classification	2022	Yuanhao Xiong Wei-Cheng Chang Cho‐Jui Hsieh Hsiang‐Fu Yu Inderjit S. Dhillon
+	Sample Efficiency of Data Augmentation Consistency Regularization	2022	Shuo Yang Yijun Dong Rachel Ward Inderjit S. Dhillon Sujay Sanghavi Lei Qi
+	Positive Unlabeled Contrastive Learning	2022	Anish Acharya Sujay Sanghavi Jing Li Bhargav Bhushanam Dhruv Choudhary Michael Rabbat Inderjit S. Dhillon
+	FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search	2022	Patrick H. Chen Chang Wei-cheng Yu Hsiang-fu Inderjit S. Dhillon Hsieh Cho-jui
+	Bayesian regularization of empirical MDPs	2022	Samarth Gupta Daniel Hill Lexing Ying Inderjit S. Dhillon
+	ELIAS: End-to-End Learning to Index and Search in Large Output Spaces	2022	Nilesh Gupta Patrick H. Chen Hsiang‐Fu Yu Cho‐Jui Hsieh Inderjit S. Dhillon
+	Two-stage LLM Fine-tuning with Less Specialization and More Generalization	2022	Yihan Wang Si Si Daliang Li Michał Łukasik Felix Yu Cho‐Jui Hsieh Inderjit S. Dhillon Sanjiv Kumar
+	Label Disentanglement in Partition-based Extreme Multilabel Classification	2021	Xuanqing Liu Wei-Cheng Chang Hsiang‐Fu Yu Cho‐Jui Hsieh Inderjit S. Dhillon
+	Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.	2021	Eli Chien Wei-Cheng Chang Cho‐Jui Hsieh Hsiang‐Fu Yu Jiong Zhang Olgica Milenković Inderjit S. Dhillon
+	Cluster-and-Conquer: A Framework For Time-Series Forecasting	2021	Reese Pathak Rajat Sen Nikhil Rao N. Benjamin Erichson Michael I. Jordan Inderjit S. Dhillon
+	Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification	2021	Tavor Z. Baharav Daniel L. Jiang Kedarnath Kolluri Sujay Sanghavi Inderjit S. Dhillon
+	Privacy-Preserving Federated Learning via Normalized (instead of Clipped) Updates.	2021	Rudrajit Das Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon
+ PDF Chat	Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification	2021	Jiong Zhang Wei-Cheng Chang Hsiang‐Fu Yu Inderjit S. Dhillon
+	Session-Aware Query Auto-completion using Extreme Multi-Label Ranking	2021	Nishant Yadav Rajat Sen Daniel Hill Arya Mazumdar Inderjit S. Dhillon
+	Extreme Multi-label Learning for Semantic Matching in Product Search	2021	Wei-Cheng Chang Daniel L. Jiang Hsiang‐Fu Yu Choon Hui Teo Jiong Zhang Kai Zhong Kedarnath Kolluri Qie Hu Nikhil Shandilya Vyacheslav Ievgrafov
+	DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning.	2021	Rudrajit Das Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon
+	Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees.	2021	Philip A. Etter Kai Zhong Hsiang‐Fu Yu Lexing Ying Inderjit S. Dhillon
+	Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification	2021	Tavor Z. Baharav Daniel L. Jiang Kedarnath Kolluri Sujay Sanghavi Inderjit S. Dhillon
+ PDF Chat	Learning from eXtreme Bandit Feedback	2021	Romain Lopez Inderjit S. Dhillon Michael I. Jordan
+	Linear Bandit Algorithms with Sublinear Time Complexity	2021	Shuo Yang Tongzheng Ren Sanjay Shakkottai Eric Price Inderjit S. Dhillon Sujay Sanghavi
+	Combinatorial Bandits without Total Order for Arms	2021	Shuo Yang Tongzheng Ren Inderjit S. Dhillon Sujay Sanghavi
+	Top-$k$ eXtreme Contextual Bandits with Arm Hierarchy	2021	Rajat Sen Alexander Rakhlin Lexing Ying Rahul Kidambi Dean P. Foster Daniel Hill Inderjit S. Dhillon
+	Robust Training in High Dimensions via Block Coordinate Geometric Median Descent	2021	Anish Acharya Abolfazl Hashemi Prateek Jain Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu
+	Extreme Multi-label Learning for Semantic Matching in Product Search	2021	Wei-Cheng Chang Daniel L. Jiang Hsiang‐Fu Yu Choon-Hui Teo Jiong Zhang Kai Zhong Kedarnath Kolluri Qie Hu Nikhil Shandilya Vyacheslav Ievgrafov
+	Label Disentanglement in Partition-based Extreme Multilabel Classification	2021	Xuanqing Liu Wei-Cheng Chang Hsiang‐Fu Yu Cho‐Jui Hsieh Inderjit S. Dhillon
+	Approximate Newton policy gradient algorithms	2021	Haoya Li Samarth Gupta Hsiang‐Fu Yu Lexing Ying Inderjit S. Dhillon
+	Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification	2021	Jiong Zhang Wei-Cheng Chang Hsiang‐Fu Yu Inderjit S. Dhillon
+	Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction	2021	Eli Chien Wei-Cheng Chang Cho‐Jui Hsieh Hsiang‐Fu Yu Jiong Zhang Olgica Milenković Inderjit S. Dhillon
+	Cluster-and-Conquer: A Framework For Time-Series Forecasting	2021	Reese Pathak Rajat Sen Nikhil Rao N. Benjamin Erichson Michael I. Jordan Inderjit S. Dhillon
+	On the Convergence of Differentially Private Federated Learning on Non-Lipschitz Objectives, and with Normalized Client Updates	2021	Rudrajit Das Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon
+	Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees	2021	Philip A. Etter Kai Zhong Hsiang‐Fu Yu Lexing Ying Inderjit S. Dhillon
+	Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification	2021	Tavor Z. Baharav Daniel L. Jiang Kedarnath Kolluri Sujay Sanghavi Inderjit S. Dhillon
+	Extreme Zero-Shot Learning for Extreme Text Classification	2021	Yuanhao Xiong Wei-Cheng Chang Cho‐Jui Hsieh Hsiang‐Fu Yu Inderjit S. Dhillon
+	Faster Non-Convex Federated Learning via Global and Local Momentum	2020	Rudrajit Das Anish Acharya Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu
+	On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization.	2020	Abolfazl Hashemi Anish Acharya Rudrajit Das Haris Vikalo Sujay Sanghavi Inderjit S. Dhillon
+	Learning from eXtreme Bandit Feedback	2020	Romain Lopez Inderjit S. Dhillon Michael I. Jordan
+ PDF Chat	Taming Pretrained Transformers for Extreme Multi-label Text Classification	2020	Wei-Cheng Chang Hsiang‐Fu Yu Kai Zhong Yiming Yang Inderjit S. Dhillon
+	Learning to Encode Position for Transformer with Continuous Dynamical Model	2020	Xuanqing Liu Hsiang‐Fu Yu Inderjit S. Dhillon Cho‐Jui Hsieh
+	Extreme Multi-label Classification from Aggregated Labels	2020	Yanyao Shen Hsiang‐Fu Yu Sujay Sanghavi Inderjit S. Dhillon
+	Learning to Encode Position for Transformer with Continuous Dynamical Model	2020	Xuanqing Liu Hsiang‐Fu Yu Inderjit S. Dhillon Cho‐Jui Hsieh
+	PECOS: Prediction for Enormous and Correlated Output Spaces	2020	Hsiang‐Fu Yu Kai Zhong Inderjit S. Dhillon
+	Voting based ensemble improves robustness of defensive models	2020	Devvrit Minhao Cheng Cho‐Jui Hsieh Inderjit S. Dhillon
+	CAT: Customized Adversarial Training for Improved Robustness	2020	Minhao Cheng Lei Qi Pin‐Yu Chen Inderjit S. Dhillon Cho‐Jui Hsieh
+	On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization	2020	Abolfazl Hashemi Anish Acharya Rudrajit Das Haris Vikalo Sujay Sanghavi Inderjit S. Dhillon
+	Learning from eXtreme Bandit Feedback	2020	Romain Lopez Inderjit S. Dhillon Michael I. Jordan
+	Faster Non-Convex Federated Learning via Global and Local Momentum	2020	Rudrajit Das Anish Acharya Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu
+	Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure	2019	Vikas Garg Inderjit S. Dhillon Hsiang‐Fu Yu
+	Similarity Preserving Representation Learning for Time Series Clustering	2019	Qi Lei Jinfeng Yi Roman Vaculín Lingfei Wu Inderjit S. Dhillon
+ PDF Chat	Online Embedding Compression for Text Classification Using Low Rank Matrix Factorization	2019	Anish Acharya Rahul Goel Angeliki Metallinou Inderjit S. Dhillon
+	Inverting Deep Generative models, One layer at a time	2019	Qi Lei Ajil Jalal Inderjit S. Dhillon Alexandros G. Dimakis
+	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting	2019	Rajat Sen Hsiang‐Fu Yu Inderjit S. Dhillon
+	AutoAssist: A Framework to Accelerate Training of Deep Neural Networks	2019	Jiong Zhang Hsiang‐Fu Yu Inderjit S. Dhillon
+	A Modular Deep Learning Approach for Extreme Multi-label Text Classification.	2019	Wei-Cheng Chang Hsiang‐Fu Yu Kai Zhong Yiming Yang Inderjit S. Dhillon
+	X-BERT: eXtreme Multi-label Text Classification with BERT	2019	Wei-Cheng Chang Hsiang‐Fu Yu Kai Zhong Yiming Yang Inderjit S. Dhillon
+	AutoAssist: A Framework to Accelerate Training of Deep Neural Networks	2019	Jiong Zhang Hsiang‐Fu Yu Inderjit S. Dhillon
+	The Limitations of Adversarial Training and the Blind-Spot Attack	2019	Huan Zhang Hongge Chen Zhao Song Duane S. Boning Inderjit S. Dhillon Cho‐Jui Hsieh
+	The Limitations of Adversarial Training and the Blind-Spot Attack	2019	Huan Zhang Hongge Chen Zhao Song Duane S. Boning Inderjit S. Dhillon Cho‐Jui Hsieh
+	MLSys: The New Frontier of Machine Learning Systems	2019	Alexander Ratner Dan Alistarh Gustavo Alonso David G. Andersen Peter Bailis Sarah Bird Nicholas Carlini Bryan Catanzaro Jennifer Chayes Eric Chung
+	Primal-Dual Block Frank-Wolfe	2019	Qi Lei Jiacheng Zhuo Constantine Caramanis Inderjit S. Dhillon Alexandros G. Dimakis
+	Inverting Deep Generative models, One layer at a time	2019	Qi Lei Ajil Jalal Inderjit S. Dhillon Alexandros G. Dimakis
+	Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting	2019	Rajat Sen Hsiang‐Fu Yu Inderjit S. Dhillon
+	Taming Pretrained Transformers for Extreme Multi-label Text Classification	2019	Wei-Cheng Chang Hsiang‐Fu Yu Kai Zhong Yiming Yang Inderjit S. Dhillon
+	Multiresolution Transformer Networks: Recurrence is Not Essential for Modeling Hierarchical Structure	2019	Vikas Garg Inderjit S. Dhillon Hsiang‐Fu Yu
+	AutoAssist: A Framework to Accelerate Training of Deep Neural Networks	2019	Jiong Zhang Hsiang‐Fu Yu Inderjit S. Dhillon
+	Discrete Attacks and Submodular Optimization with Applications to Text Classification.	2018	Qi Lei Lingfei Wu Pin‐Yu Chen Alexandros G. Dimakis Inderjit S. Dhillon Michael Witbrock
+	Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification	2018	Qi Lei Lingfei Wu Pin‐Yu Chen Alexandros G. Dimakis Inderjit S. Dhillon Michael Witbrock
+	Online Embedding Compression for Text Classification using Low Rank Matrix Factorization	2018	Anish Acharya Rahul Goel Angeliki Metallinou Inderjit S. Dhillon
+	Nonlinear Inductive Matrix Completion based on One-layer Neural Networks.	2018	Kai Zhong Zhao Song Prateek Jain Inderjit S. Dhillon
+	Towards Fast Computation of Certified Robustness for ReLU Networks	2018	Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho‐Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel
+	Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization	2018	Jiong Zhang Qi Lei Inderjit S. Dhillon
+	Learning Long Term Dependencies via Fourier Recurrent Units	2018	Jiong Zhang Yibo Lin Zhao Song Inderjit S. Dhillon
+	Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization	2018	Jiong Zhang Qi Lei Inderjit S. Dhillon
+	Towards Fast Computation of Certified Robustness for ReLU Networks	2018	Tsui-Wei Weng Huan Zhang Hongge Chen Zhao Song Cho‐Jui Hsieh Duane S. Boning Inderjit S. Dhillon Luca Daniel
+	Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification	2018	Lei Qi Lingfei Wu Pin‐Yu Chen Alexandros G. Dimakis Inderjit S. Dhillon Michael Witbrock
+	Online Embedding Compression for Text Classification using Low Rank Matrix Factorization	2018	Anish Acharya Rahul Goel Angeliki Metallinou Inderjit S. Dhillon
+	Nonlinear Inductive Matrix Completion based on One-layer Neural Networks	2018	Kai Zhong Zhao Song Prateek Jain Inderjit S. Dhillon
+ PDF Chat	Non-Exhaustive, Overlapping Co-Clustering	2017	Joyce Jiyoung Whang Inderjit S. Dhillon
+	Similarity Preserving Representation Learning for Time Series Analysis.	2017	Qi Lei Jinfeng Yi Roman Vaculín Lingfei Wu Inderjit S. Dhillon
+	Recovery Guarantees for One-hidden-layer Neural Networks	2017	Kai Zhong Zhao Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon
+	Learning Non-overlapping Convolutional Neural Networks with Multiple Kernels	2017	Kai Zhong Zhao Song Inderjit S. Dhillon
+	Similarity Preserving Representation Learning for Time Series Clustering	2017	Qi Lei Jinfeng Yi Roman Vaculín Lingfei Wu Inderjit S. Dhillon
+	Coordinate-wise power method	2016	Qi Lei Kai Zhong Inderjit S. Dhillon
+	Efficient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization	2016	Arnaud Vandaele Nicolas Gillis Qi Lei Kai Zhong Inderjit S. Dhillon
+	Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering	2016	Yangyang Hou Joyce Jiyoung Whang David F. Gleich Inderjit S. Dhillon
+	Computationally efficient Nyström approximation using fast transforms	2016	Si Si Cho‐Jui Hsieh Inderjit S. Dhillon
+	Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies.	2016	David I. Inouye Pradeep Ravikumar Inderjit S. Dhillon
+	Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies	2016	David I. Inouye Pradeep Ravikumar Inderjit S. Dhillon
+	Structured Sparse Regression via Greedy Hard-Thresholding	2016	Prateek Jain Nikhil Rao Inderjit S. Dhillon
+	Structured Sparse Regression via Greedy Hard-Thresholding	2016	Prateek Jain Nikhil Rao Inderjit S. Dhillon
+	Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion	2016	Joyce Jiyoung Whang David F. Gleich Inderjit S. Dhillon
+	Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering	2016	Yangyang Hou Joyce Jiyoung Whang David F. Gleich Inderjit S. Dhillon
+	Extreme Stochastic Variational Inference: Distributed and Asynchronous	2016	Jiong Zhang Parameswaran Raman Shihao Ji Hsiang‐Fu Yu S. V. N. Vishwanathan Inderjit S. Dhillon
+	Generalized Root Models: Beyond Pairwise Graphical Models for Univariate Exponential Families	2016	David I. Inouye Pradeep Ravikumar Inderjit S. Dhillon
+	Kernel Ridge Regression via Partitioning	2016	Rashish Tandon Si Si Pradeep Ravikumar Inderjit S. Dhillon
+	Communication-Efficient Parallel Block Minimization for Kernel Machines	2016	Cho‐Jui Hsieh Si Si Inderjit S. Dhillon
+	A Greedy Approach for Budgeted Maximum Inner Product Search	2016	Hsiang‐Fu Yu Cho‐Jui Hsieh Qi Lei Inderjit S. Dhillon
+	Mixed Linear Regression with Multiple Components	2016	Kai Zhong Prateek Jain Inderjit S. Dhillon
+	Structured Sparse Regression via Greedy Hard-Thresholding	2016	Prateek Jain Nikhil Rao Inderjit S. Dhillon
+	Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies	2016	David I. Inouye Pradeep Ravikumar Inderjit S. Dhillon
+	Sparse Linear Programming via primal and dual augmented coordinate descent	2015	Ian En-Hsu Yen Kai Zhong Cho‐Jui Hsieh Pradeep Ravikumar Inderjit S. Dhillon
+	Temporal Regularized Matrix Factorization.	2015	Hsiang‐Fu Yu Nikhil Rao Inderjit S. Dhillon
+	PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent	2015	Cho‐Jui Hsieh Hsiang‐Fu Yu Inderjit S. Dhillon
+	A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models	2015	En-Hsu Yen Xin Lin Kai Zhong Pradeep Ravikumar Inderjit S. Dhillon
+ PDF Chat	A Scalable Asynchronous Distributed Algorithm for Topic Modeling	2015	Hsiang‐Fu Yu Cho‐Jui Hsieh Hyokun Yun S. V. N. Vishwanathan Inderjit S. Dhillon
+	Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion	2015	Joyce Jiyoung Whang David F. Gleich Inderjit S. Dhillon
+	Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics	2015	Nagarajan Natarajan Oluwasanmi Koyejo Pradeep Ravikumar Inderjit S. Dhillon
+	High-dimensional Time Series Prediction with Missing Values	2015	Hsiang‐Fu Yu Nikhil Rao Inderjit S. Dhillon
+	PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent	2015	Cho‐Jui Hsieh Hsiang‐Fu Yu Inderjit S. Dhillon
+	Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons	2015	Dohyung Park Joe Neeman Jin Zhang Sujay Sanghavi Inderjit S. Dhillon
+	Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion	2015	Joyce Jiyoung Whang David F. Gleich Inderjit S. Dhillon
+	QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models	2014	Cho‐Jui Hsieh Inderjit S. Dhillon Pradeep Ravikumar Stephen Becker Peder A. Olsen
+	Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators	2014	Kai Zhong En-Hsu Yen Inderjit S. Dhillon Pradeep Ravikumar
+	Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings	2014	En-Hsu Yen Cho‐Jui Hsieh Pradeep Ravikumar Inderjit S. Dhillon
+	PU Learning for Matrix Completion	2014	Cho‐Jui Hsieh Nagarajan Natarajan Inderjit S. Dhillon
+	QUIC: quadratic approximation for sparse inverse covariance estimation	2014	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar
+	Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators	2014	Kai Zhong Ian En-Hsu Yen Inderjit S. Dhillon Pradeep Ravikumar
+	A Scalable Asynchronous Distributed Algorithm for Topic Modeling	2014	Hsiang‐Fu Yu Cho‐Jui Hsieh Hyokun Yun S. V. N. Vishwanathan Inderjit S. Dhillon
+	PU Learning for Matrix Completion	2014	Cho‐Jui Hsieh Nagarajan Natarajan Inderjit S. Dhillon
+	BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables	2013	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar Russell A. Poldrack
+	Computation of the Singular Value Decomposition	2013	Alan Cline Inderjit S. Dhillon
+	A Divide-and-Conquer Solver for Kernel Support Vector Machines	2013	Cho‐Jui Hsieh Si Si Inderjit S. Dhillon
+	Parallel matrix factorization for recommender systems	2013	Hsiang‐Fu Yu Cho‐Jui Hsieh Si Si Inderjit S. Dhillon
+ PDF Chat	Parallel Clustered Low-Rank Approximation of Graphs and Its Application to Link Prediction	2013	Xin Sui Tsung-Hsien Lee Joyce Jiyoung Whang Berkant Savas Saral Jain Keshav Pingali Inderjit S. Dhillon
+	Provable Inductive Matrix Completion	2013	Prateek Jain Inderjit S. Dhillon
+	Prediction and Clustering in Signed Networks: A Local to Global Perspective	2013	Kai-Yang Chiang Cho‐Jui Hsieh Nagarajan Natarajan Ambuj Tewari Inderjit S. Dhillon
+	Large-scale Multi-label Learning with Missing Labels	2013	Hsiang‐Fu Yu Prateek Jain Purushottam Kar Inderjit S. Dhillon
+	Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation	2013	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar
+	NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion	2013	Hyokun Yun Hsiang‐Fu Yu Cho‐Jui Hsieh S. V. N. Vishwanathan Inderjit S. Dhillon
+	A Divide-and-Conquer Solver for Kernel Support Vector Machines	2013	Cho‐Jui Hsieh Si Si Inderjit S. Dhillon
+	A divide-and-conquer procedure for sparse inverse covariance estimation	2012	Cho‐Jui Hsieh Inderjit S. Dhillon Pradeep Ravikumar Arindam Banerjee
+ PDF Chat	Multi-scale link prediction	2012	Donghyuk Shin Si Si Inderjit S. Dhillon
+	Regularized sparse inverse covariance matrix estimation	2012	Cho‐Jui Hsieh Mátyás A. Sustik Inderjit S. Dhillon Pradeep Ravikumar
+	A non-monotonic method for large-scale non-negative least squares	2012	Dong‐Min Kim Suvrit Sra Inderjit S. Dhillon
+ PDF Chat	On a Zero-Finding Problem Involving the Matrix Exponential	2012	Mátyás A. Sustik Inderjit S. Dhillon
+	Multi-Scale Link Prediction	2012	Donghyuk Shin Si Si Inderjit S. Dhillon
+	Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation	2011	Cho‐Jui Hsieh Inderjit S. Dhillon Pradeep Ravikumar Mátyás A. Sustik
+	Greedy Algorithms for Structurally Constrained High Dimensional Problems	2011	Ambuj Tewari Pradeep Ravikumar Inderjit S. Dhillon
+ PDF Chat	Fast coordinate descent methods with variable selection for non-negative matrix factorization	2011	Cho‐Jui Hsieh Inderjit S. Dhillon
+ PDF Chat	Clustered low rank approximation of graphs in information science applications	2011	Berkant Savas Inderjit S. Dhillon
+	Orthogonal Matching Pursuit with Replacement	2011	Prateek Jain Ambuj Tewari Inderjit S. Dhillon
+	Guaranteed Rank Minimization via Singular Value Projection	2010	Prateek Jain Raghu Meka Inderjit S. Dhillon
+	A scalable trust-region algorithm with application to mixed-norm regression	2010	Dong‐Min Kim Suvrit Sra Inderjit S. Dhillon
+	Solving large-scale nonnegative least squares using an adaptive non-monotonic method	2010	Suvrit Sra D Kim Inderjit S. Dhillon
+	Fast and accurate low rank approximation of massive graphs	2010	Berkant Savas Inderjit S. Dhillon
+	Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach	2010	Dong‐Min Kim Suvrit Sra Inderjit S. Dhillon
+	Convex Perturbations for Scalable Semidefinite Programming	2009	Brian Kulis Suvrit Sra Inderjit S. Dhillon
+	Future Directions in Tensor-Based Computation and Modeling	2009	Evrim Acar Robert J. Harrison Frank Olken Orly Alter Manal Helal Larsson Omberg Brett W. Bader A.D. Kennedy Zhaojun Bai Dong‐Min Kim
+	Metric and Kernel Learning using a Linear Transformation	2009	Prateek Jain Brian Kulis Jason V. Davis Inderjit S. Dhillon
+	Guaranteed Rank Minimization via Singular Value Projection	2009	Raghu Meka Prateek Jain Inderjit S. Dhillon
+	A New Non-monotonic Gradient Projection Method for the Non-negative Least Squares Problem	2008	D Kim Suvrit Sra Inderjit S. Dhillon
+ PDF Chat	Constructing Packings in Grassmannian Manifolds via Alternating Projection	2008	Inderjit S. Dhillon Robert W. Heath Thomas Strohmer Joel A. Tropp
+ PDF Chat	Rank minimization via online learning	2008	Raghu Meka Prateek Jain Constantine Caramanis Inderjit S. Dhillon
+ PDF Chat	Fast Projection‐Based Methods for the Least Squares Nonnegative Matrix Approximation Problem	2007	Dong‐Min Kim Suvrit Sra Inderjit S. Dhillon
+ PDF Chat	Matrix Nearness Problems with Bregman Divergences	2007	Inderjit S. Dhillon Joel A. Tropp
+	On the existence of equiangular tight frames	2007	Mátyás A. Sustik Joel A. Tropp Inderjit S. Dhillon Robert W. Heath
+	Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem	2007	Dong‐Min Kim Suvrit Sra Inderjit S. Dhillon
+	Modeling data using directional distributions: Part II	2007	Suvrit Sra P. Jain Inderjit S. Dhillon
+	Matrix nearness problems in data mining	2007	Inderjit S. Dhillon Suvrit Sra
+	Constructing packings in Grassmannian manifolds via alternating projection	2007	Inderjit S. Dhillon Robert W. Heath Thomas Strohmer Joel A. Tropp
+ PDF Chat	The design and implementation of the MRRR algorithm	2006	Inderjit S. Dhillon Beresford Ν. Parlett Christof Vömel
+	A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem	2006	D Kim Suvrit Sra Inderjit S. Dhillon
+	Computation of the Singular Value Decomposition	2006	Alan Cline Inderjit S. Dhillon
+	Clustering with Entropy-Like k-Means Algorithms	2006	Marc Teboulle Pavel Berkhin Inderjit S. Dhillon Yuqiang Guan J. Kogan
+	Learning low-rank kernel matrices	2006	Brian Kulis Mátyás A. Sustik Inderjit S. Dhillon
+ PDF Chat	Construction of equiangular signatures for synchronous CDMA systems	2005	Robert W. Heath Joel A. Tropp Inderjit S. Dhillon Thomas Strohmer
+ PDF Chat	Glued Matrices and the MRRR Algorithm	2005	Inderjit S. Dhillon Beresford Ν. Parlett Christof Vömel
+ PDF Chat	Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum	2005	Inderjit S. Dhillon Robert W. Heath Mátyás A. Sustik Joel A. Tropp
+ PDF Chat	Designing structured tight frames via an alternating projection method	2005	Joel A. Tropp Inderjit S. Dhillon Robert W. Heath Thomas Strohmer
+	Multiple representations to compute orthogonal eigenvectors of symmetric tridiagonal matrices	2004	Inderjit S. Dhillon Beresford Ν. Parlett
+	Clustering with Bregman Divergences	2004	Arindam Banerjee Srujana Merugu Inderjit S. Dhillon Joydeep Ghosh
+	Modeling Data using Directional Distributions	2003	Inderjit S. Dhillon Suvrit Sra
+	Orthogonal Eigenvectors and Relative Gaps	2003	Inderjit S. Dhillon Beresford Ν. Parlett
+	Inner deflation for symmetric tridiagonal matrices	2002	Inderjit S. Dhillon Alexander Malyshev
+	Relatively robust representations of symmetric tridiagonals	2000	Beresford Ν. Parlett Inderjit S. Dhillon
+	Current inverse iteration software can fail	1998	Inderjit S. Dhillon
+	A new O (N(2)) algorithm for the symmetric tridiagonal eigenvalue/eigenvector problem	1998	Inderjit S. Dhillon
+	Fernando's solution to Wilkinson's problem: An application of double factorization	1997	Beresford Ν. Parlett Inderjit S. Dhillon
+	A Way to Find the Most Redundant Equation in a Tridiagonal System,	1995	K.V. Fernando Beresford Ν. Parlett Inderjit S. Dhillon
+	LAPACK Working Note 88: Efficient Computation of the Singular Value Decomposition with Applications to Least Squares Problems	1994	Ming Gu James Demmel Inderjit S. Dhillon

Common Coauthors

Coauthor	Papers Together
Cho‐Jui Hsieh	47
Hsiang‐Fu Yu	45
Sujay Sanghavi	20
Pradeep Ravikumar	16
Wei-Cheng Chang	15
Kai Zhong	13
Suvrit Sra	12
Si Si	12
Prateek Jain	10
Anish Acharya	10
Qi Lei	9
Mátyás A. Sustik	9
Lexing Ying	9
Rudrajit Das	9
Abolfazl Hashemi	8
Jiong Zhang	8
Zhao Song	8
Joel A. Tropp	7
Beresford Ν. Parlett	7
Joyce Jiyoung Whang	7
Prateek Jain	7
Alexandros G. Dimakis	7
Nikhil Rao	7
Lingfei Wu	6
Michael I. Jordan	6
Rajat Sen	6
Robert W. Heath	6
Dong‐Min Kim	6
Kai Zhong	6
Daniel L. Jiang	5
Pin‐Yu Chen	5
David F. Gleich	5
Qi Lei	5
Jiong Zhang	5
David I. Inouye	4
Nagarajan Natarajan	4
Thomas Strohmer	4
Daniel Hill	4
Berkant Savas	4
Duane S. Boning	4
Hongge Chen	4
Xuanqing Liu	4
S. V. N. Vishwanathan	4
Kedarnath Kolluri	4
Haoya Li	4
Roman Vaculín	3
Ambuj Tewari	3
Philip A. Etter	3
Raghu Meka	3
Brian Kulis	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation	2011	Cho‐Jui Hsieh Inderjit S. Dhillon Pradeep Ravikumar Mátyás A. Sustik	9
+	PECOS: Prediction for Enormous and Correlated Output Spaces	2020	Hsiang‐Fu Yu Kai Zhong Inderjit S. Dhillon	9
+	A coordinate gradient descent method for nonsmooth separable minimization	2007	Paul Tseng Sangwoon Yun	8
+	Fernando's solution to Wilkinson's problem: An application of double factorization	1997	Beresford Ν. Parlett Inderjit S. Dhillon	8
+	The Symmetric Eigenvalue Problem	1998	Beresford Ν. Parlett	8
+	Nonlinear Programming	1995	Dimitri P. Bertsekas	8
+ PDF Chat	Accurate Singular Values of Bidiagonal Matrices	1990	James Demmel W. Kahan	7
+	Sparse inverse covariance estimation with the graphical lasso	2007	Jerome H. Friedman Trevor Hastie R. Tibshirani	7
+ PDF Chat	Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs	2018	Yu. A. Malkov D. A. Yashunin	7
+	Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data	2008	Onureena Banerjee Laurent El Ghaoui Alexandre d’Aspremont	7
+	Latent Retrieval for Weakly Supervised Open Domain Question Answering	2019	Kenton Lee Ming‐Wei Chang Kristina Toutanova	7
+ PDF Chat	Bonsai: diverse and shallow trees for extreme multi-label classification	2020	Sujay Khandagale Han Xiao Rohit Babbar	7
+	Fast global convergence rates of gradient methods for high-dimensional statistical recovery	2010	Alekh Agarwal Sahand Negahban Martin J. Wainwright	6
+	Accurate Singular Values and Differential QD Algorithms	1993	K.V. Fernando Beresford Ν. Parlett	6
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	6
+ PDF Chat	Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems	2012	Yu. Nesterov	6
+	Orthogonal Eigenvectors and Relative Gaps	2003	Inderjit S. Dhillon Beresford Ν. Parlett	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+	An improved GLMNET for L1-regularized logistic regression	2012	Guo-Xun Yuan Chia-Hua Ho Chih‐Jen Lin	6
+	A new O (N(2)) algorithm for the symmetric tridiagonal eigenvalue/eigenvector problem	1998	Inderjit S. Dhillon	6
+ PDF Chat	Der Quotienten-Differenzen-Algorithmus	1954	Heinz Rutishauser	6
+ PDF Chat	Taming Pretrained Transformers for Extreme Multi-label Text Classification	2020	Wei-Cheng Chang Hsiang‐Fu Yu Kai Zhong Yiming Yang Inderjit S. Dhillon	6
+ PDF Chat	Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters	2009	Jure Leskovec Kevin Lang Anirban Dasgupta Michael W. Mahoney	5
+ PDF Chat	Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization	2010	Benjamin Recht Maryam Fazel Pablo A. Parrilo	5
+	On iterative algorithms for linear least squares problems with bound constraints	1991	Michel Bierlaire Philippe L. Toint Daniel Tuyttens	5
+	Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm	2009	Mark Schmidt E. van den Berg Michael P. Friedlander Kevin P. Murphy	5
+ PDF Chat	Designing structured tight frames via an alternating projection method	2005	Joel A. Tropp Inderjit S. Dhillon Robert W. Heath Thomas Strohmer	5
+ PDF Chat	Extreme Regression for Dynamic Search Advertising	2020	Yashoteja Prabhu Aditya Kusupati Nilesh Gupta Manik Varma	5
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	5
+	HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent	2011	Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright	5
+	Extreme Multi-label Learning for Semantic Matching in Product Search	2021	Wei-Cheng Chang Daniel L. Jiang Hsiang‐Fu Yu Choon Hui Teo Jiong Zhang Kai Zhong Kedarnath Kolluri Qie Hu Nikhil Shandilya Vyacheslav Ievgrafov	5
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	5
+	Newton-Like Methods for Sparse Inverse Covariance Estimation	2012	Figen Öztoprak Jorge Nocedal Steven J. Rennie Peder A. Olsen	5
+	A no-regret generalization of hierarchical softmax to extreme multi-label classification	2018	Marek Wydmuch Kalina Jasińska Mikhail Kuznetsov Róbert Busa‐Fekete Krzysztof Dembczyński	5
+	Grassmannian frames with applications to coding and communication	2003	Thomas Strohmer Robert W. Heath	5
+	The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming	1967	L.M. Bregman	5
+	Guaranteed Accuracy in Numerical Linear Algebra	1993	С. К. Годунов A. G. Antonov O. P. Kiriljuk V. I. Kostin	5
+ PDF Chat	Fast coordinate descent methods with variable selection for non-negative matrix factorization	2011	Cho‐Jui Hsieh Inderjit S. Dhillon	5
+	Multiple representations to compute orthogonal eigenvectors of symmetric tridiagonal matrices	2004	Inderjit S. Dhillon Beresford Ν. Parlett	5
+	Multi-Label Prediction via Compressed Sensing	2009	Daniel Hsu Sham M. Kakade John Langford Tong Zhang	5
+	LSHTC: A Benchmark for Large-Scale Text Classification	2015	Ioannis Partalas Aris Kosmopoulos Nicolas Baskiotis Thierry Artières George Paliouras Éric Gaussier Ion Androutsopoulos Massih-Réza Amini Patrick Gallinari	5
+	Solving Least Squares Problems	1995	C. L. Lawson Richard Hanson	4
+ PDF Chat	The Power of Convex Relaxation: Near-Optimal Matrix Completion	2010	Emmanuel J. Candès Terence Tao	4
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	4
+	Learning low-rank kernel matrices	2006	Brian Kulis Mátyás A. Sustik Inderjit S. Dhillon	4
+	The Rotation of Eigenvectors by a Perturbation. III	1970	Chandler Davis W. Kahan	4
+ PDF Chat	Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions	2011	Nathan Halko Per‐Gunnar Martinsson Joel A. Tropp	4
+ PDF Chat	A rank minimization heuristic with application to minimum order system approximation	2001	Maryam Fazel H. Hindi Stephen Boyd	4
+ PDF Chat	Projected Newton Methods for Optimization Problems with Simple Constraints	1982	Dimitri P. Bertsekas	4
+	Relatively robust representations of symmetric tridiagonals	2000	Beresford Ν. Parlett Inderjit S. Dhillon	4