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Auto-differentiable Ensemble Kalman Filters


Jul 19, 2021
Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett


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Pure Exploration in Kernel and Neural Bandits


Jun 22, 2021
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak


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Prediction in the presence of response-dependent missing labels


Mar 25, 2021
Hyebin Song, Garvesh Raskutti, Rebecca Willett


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Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder


Mar 08, 2021
Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian Foster

* 21 pages. 15 figures. Under review by IEEE Transactions on Geoscience and Remote Sensing (TGRS) 

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Deep Equilibrium Architectures for Inverse Problems in Imaging


Feb 16, 2021
Davis Gilton, Gregory Ongie, Rebecca Willett


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Model Adaptation for Inverse Problems in Imaging


Nov 30, 2020
Davis Gilton, Gregory Ongie, Rebecca Willett


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Deep Learning Techniques for Inverse Problems in Imaging


May 12, 2020
Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett


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Detection and Description of Change in Visual Streams


Apr 09, 2020
Davis Gilton, Ruotian Luo, Rebecca Willett, Greg Shakhnarovich


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Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions


Mar 16, 2020
Lili Zheng, Garvesh Raskutti, Rebecca Willett, Benjamin Mark


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An Optimal Statistical and Computational Framework for Generalized Tensor Estimation


Feb 26, 2020
Rungang Han, Rebecca Willett, Anru Zhang


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A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case


Oct 03, 2019
Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro


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Neumann Networks for Inverse Problems in Imaging


Jan 13, 2019
Davis Gilton, Greg Ongie, Rebecca Willett


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Bilinear Bandits with Low-rank Structure


Jan 08, 2019
Kwang-Sung Jun, Rebecca Willett, Stephen Wright, Robert Nowak


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Estimating Network Structure from Incomplete Event Data


Nov 07, 2018
Benjamin Mark, Garvesh Raskutti, Rebecca Willett


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Graph-based regularization for regression problems with highly-correlated designs


Jun 05, 2018
Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett


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Tensor Methods for Nonlinear Matrix Completion


Apr 26, 2018
Greg Ongie, Laura Balzano, Daniel Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak


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Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes


Feb 26, 2018
Amin Jalali, Rebecca Willett


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Network Estimation from Point Process Data


Feb 13, 2018
Benjamin Mark, Garvesh Raskutti, Rebecca Willett

* Submitted to IEEE Transactions on Information Theory 

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Subspace Clustering with Missing and Corrupted Data


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

* 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

* 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

* 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

* 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

* Submitted to IEEE Transactions on Information Theory 

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Algebraic Variety Models for High-Rank Matrix Completion


Mar 28, 2017
Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano


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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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Online Data Thinning via Multi-Subspace Tracking


Sep 12, 2016
Xin Jiang, Rebecca Willett

* 32 pages, 10 figures 

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Matrix Completion Under Monotonic Single Index Models


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

* 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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