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Rebecca Willett

Subspace Clustering with Missing and Corrupted Data

Jan 15, 2018
Zachary Charles, Amin Jalali, Rebecca Willett

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* 31 pages, 2 figures

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Online Learning for Changing Environments using Coin Betting

Nov 06, 2017
Kwang-Sung Jun, Francesco Orabona, Stephen Wright, Rebecca Willett

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* submitted to a journal. arXiv admin note: substantial text overlap with arXiv:1610.04578

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Scalable Generalized Linear Bandits: Online Computation and Hashing

Oct 21, 2017
Kwang-Sung Jun, Aniruddha Bhargava, Robert Nowak, Rebecca Willett

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* accepted to NIPS'17 (typos fixed)

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Improved Strongly Adaptive Online Learning using Coin Betting

Aug 07, 2017
Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, Stephen Wright

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* fixed a few typos

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Inference of High-dimensional Autoregressive Generalized Linear Models

Jun 24, 2017
Eric C. Hall, Garvesh Raskutti, Rebecca Willett

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* Submitted to IEEE Transactions on Information Theory

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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

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* 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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Online Data Thinning via Multi-Subspace Tracking

Sep 12, 2016
Xin Jiang, Rebecca Willett

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* 32 pages, 10 figures

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Matrix Completion Under Monotonic Single Index Models

Dec 29, 2015
Ravi Ganti, Laura Balzano, Rebecca Willett

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* 21 pages, 5 figures, 1 table. Accepted for publication at NIPS 2015

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Relax but stay in control: from value to algorithms for online Markov decision processes

Aug 31, 2015
Peng Guan, Maxim Raginsky, Rebecca Willett

* 40 pages; additional results in the convex-analytic framework

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