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Scalable Feature Selection for (Multitask) Gradient Boosted Trees


Sep 05, 2021
Cuize Han, Nikhil Rao, Daria Sorokina, Karthik Subbian

* Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:885-894, 2020 
* Correct a mistake in the proof of Lemma B1 in http://proceedings.mlr.press/v108/han20a.html 

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Pure Exploration in Multi-armed Bandits with Graph Side Information


Aug 02, 2021
Parth K. Thaker, Nikhil Rao, Mohit Malu, Gautam Dasarathy


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Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs


Dec 23, 2020
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

* Preprint version, 12 pages, 11 figures, 10 tables 

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Learning Robust Models for e-Commerce Product Search


May 07, 2020
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian

* This work has been accepted for publication at ACL2020 

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Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering


May 29, 2019
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh

* under review 

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Matrix Completion via Factorizing Polynomials


Feb 14, 2018
Vatsal Shah, Nikhil Rao, Weicong Ding


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Dynamic Word Embeddings for Evolving Semantic Discovery


Feb 13, 2018
Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong

* 9 pages, published in the International Conference on Web Search and Data Mining (WSDM 2018) 

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A Simple Approach to Learn Polysemous Word Embeddings


Aug 14, 2017
Yifan Sun, Nikhil Rao, Weicong Ding

* Updated link to our data, test datasets, and scripts 

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On Learning High Dimensional Structured Single Index Models


Nov 29, 2016
Nikhil Rao, Ravi Ganti, Laura Balzano, Rebecca Willett, Robert Nowak

* 7 pages, 3 tables, 1 Figure, substantial text overlap with arXiv:1506.08910; Accepted for publication at AAAI 2017; added new experimental results comparing our method to a single layer neural network 

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Structured Sparse Regression via Greedy Hard-Thresholding


May 27, 2016
Prateek Jain, Nikhil Rao, Inderjit 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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Forward - Backward Greedy Algorithms for Atomic Norm Regularization


Jul 23, 2015
Nikhil Rao, Parikshit Shah, Stephen Wright

* To appear in IEEE Transactions on Signal Processing 

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Learning Single Index Models in High Dimensions


Jun 30, 2015
Ravi Ganti, Nikhil Rao, Rebecca M. Willett, Robert Nowak

* 16 pages, 2 figures, 1 table 

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Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice


May 15, 2015
Parikshit Shah, Nikhil Rao, Gongguo Tang


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Classification with Sparse Overlapping Groups


Sep 04, 2014
Nikhil Rao, Robert Nowak, Christopher Cox, Timothy Rogers

* Tighter result compared to the previous version. Some additional details and justification on the problem being solved 

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Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis


Nov 22, 2013
Nikhil Rao, Christopher Cox, Robert Nowak, Timothy Rogers

* To appear in Advances in Neural Information Processing Systems, 2013 

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Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging


Sep 14, 2012
Nikhil Rao, Benjamin Recht, Robert Nowak

* arXiv admin note: substantial text overlap with arXiv:1106.4355 

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Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals


Oct 18, 2011
Nikhil Rao, Benjamin Recht, Robert Nowak

* Refined previous bound and added new experiments 

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