Rebecca Willett

185 papers A* 14A 4B 6C 4Misc 9Journal 109Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating PDE Surrogates via RL-Guided Mesh Optimization. CoRR Yang Meng, Ruoxi Jiang, Zhuokai Zhao, Chong Liu, Rebecca Willett, Yuxin Chen
2026	J	`jnl`	Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms. CoRR Melissa Adrian, Daniel Sanz-Alonso, Rebecca Willett
2026	J	`jnl`	Hardware acceleration for HPS algorithms in two and three dimensions. J. Comput. Phys. Owen Melia, Daniel Fortunato, Jeremy G. Hoskins, Rebecca Willett
2025	J	`jnl`	A Model-Guided Neural Network Method for the Inverse Scattering Problem. CoRR Olivia Tsang, Owen Melia, Vasileios Charisopoulos, Jeremy G. Hoskins, Yuehaw Khoo, Rebecca Willett
2025	J	`jnl`	Assumption-free stability for ranking problems. CoRR Ruiting Liang, Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2025	A*	`conf`	Can a calibration metric be both testable and actionable? COLT Raphael Rossellini, Jake A. Soloff, Rina Foygel Barber, Zhimei Ren, Rebecca Willett
2025	J	`jnl`	Chromatin structures from integrated AI and polymer physics model. PLoS Comput. Biol. Eric R. Schultz, Soren Kyhl, Rebecca Willett, Juan J. de Pablo
2025	J	`jnl`	Faster Adaptive Optimization via Expected Gradient Outer Product Reparameterization. CoRR Adela DePavia, Vasileios Charisopoulos, Rebecca Willett
2025	J	`jnl`	Hardware Acceleration for HPS Algorithms in Two and Three Dimensions. CoRR Owen Melia, Daniel Fortunato, Jeremy G. Hoskins, Rebecca Willett
2025	J	`jnl`	Hierarchical Implicit Neural Emulators. CoRR Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett
2025	J	`jnl`	How do simple rotations affect the implicit bias of Adam? CoRR Adela DePavia, Vasileios Charisopoulos, Rebecca Willett
2025	J	`jnl`	Multi-frequency progressive refinement for learned inverse scattering. J. Comput. Phys. Owen Melia, Olivia Tsang, Vasileios Charisopoulos, Yuehaw Khoo, Jeremy G. Hoskins, Rebecca Willett
2025	A*	`conf`	Nested Diffusion Models Using Hierarchical Latent Priors. CVPR Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire
2025	J	`jnl`	Nonlinear Tomographic Reconstruction via Nonsmooth Optimization. SIAM J. Math. Data Sci. Vasileios Charisopoulos, Rebecca Willett
2025	A*	`conf`	Quality Measures for Dynamic Graph Generative Models. ICLR Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann
2025	J	`jnl`	Quality Measures for Dynamic Graph Generative Models. CoRR Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann
2025	J	`jnl`	ReLU Neural Networks with Linear Layers Are Biased towards Single- and Multi-index Models. SIAM J. Math. Data Sci. Suzanna Parkinson, Greg Ongie, Rebecca Willett
2025	J	`jnl`	Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks. CoRR Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Rebecca Willett, Henry Hoffmann
2025	J	`jnl`	Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay. CoRR Hannah Laus, Suzanna Parkinson, Vasileios Charisopoulos, Felix Krahmer, Rebecca Willett
2025	J	`jnl`	Stabilizing black-box model selection with the inflated argmax. Trans. Mach. Learn. Res. Melissa Adrian, Jake A. Soloff, Rebecca Willett
2025	J	`jnl`	jaxhps: An elliptic PDE solver built with machine learning in mind. J. Open Source Softw. Owen Melia, Daniel Fortunato, Jeremy G. Hoskins, Rebecca Willett
2024	J	`jnl`	Bagging Provides Assumption-free Stability. J. Mach. Learn. Res. Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2024	A*	`conf`	Building a stable classifier with the inflated argmax. NeurIPS Jake A. Soloff, Rina Barber, Rebecca Willett
2024	J	`jnl`	Building a stable classifier with the inflated argmax. CoRR Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2024	J	`jnl`	Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet. CoRR Melissa Adrian, Daniel Sanz-Alonso, Rebecca Willett
2024	A*	`conf`	Deep Stochastic Mechanics. ICML Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
2024	A*	`conf`	Depth Separation in Norm-Bounded Infinite-Width Neural Networks. COLT Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro
2024	J	`jnl`	Depth Separation in Norm-Bounded Infinite-Width Neural Networks. CoRR Suzanna Parkinson, Greg Ongie, Rebecca Willett, Ohad Shamir, Nathan Srebro
2024	J	`jnl`	Embed and Emulate: Contrastive representations for simulation-based inference. CoRR Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
2024	A	`conf`	Integrating Uncertainty Awareness into Conformalized Quantile Regression. AISTATS Raphael Rossellini, Rina Foygel Barber, Rebecca Willett
2024	J	`jnl`	Nested Diffusion Models Using Hierarchical Latent Priors. CoRR Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire
2024	J	`jnl`	Nonlinear tomographic reconstruction via nonsmooth optimization. CoRR Vasileios Charisopoulos, Rebecca Willett
2024	J	`jnl`	Residual Connections Harm Self-Supervised Abstract Feature Learning. CoRR Xiao Zhang, Ruoxi Jiang, William Gao, Rebecca Willett, Michael Maire
2024	J	`jnl`	Stabilizing black-box model selection with the inflated argmax. CoRR Melissa Adrian, Jake A. Soloff, Rebecca Willett
2023	J	`jnl`	Bagging Provides Assumption-free Stability. CoRR Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
2023	J	`jnl`	Deep Stochastic Mechanics. CoRR Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
2023	J	`jnl`	Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees. CoRR Yue Gao, Garvesh Raskutti, Rebecca Willett
2023	J	`jnl`	Linear Neural Network Layers Promote Learning Single- and Multiple-Index Models. CoRR Suzanna Parkinson, Greg Ongie, Rebecca Willett
2023	J	`jnl`	Reduced-Order Autodifferentiable Ensemble Kalman Filters. CoRR Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett
2023	J	`jnl`	Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds. CoRR Owen Melia, Eric M. Jonas, Rebecca Willett
2023	J	`jnl`	Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds. Trans. Mach. Learn. Res. Owen Melia, Eric M. Jonas, Rebecca Willett
2023	A*	`conf`	Training neural operators to preserve invariant measures of chaotic attractors. NeurIPS Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett
2023	J	`jnl`	Training neural operators to preserve invariant measures of chaotic attractors. CoRR Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett
2022	J	`jnl`	Autodifferentiable Ensemble Kalman Filters. SIAM J. Math. Data Sci. Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett
2022	J	`jnl`	Beyond Ensemble Averages: Leveraging Climate Model Ensembles for Subseasonal Forecasting. CoRR Elena Orlova, Haokun Liu, Raphael Rossellini, Benjamin Cash, Rebecca Willett
2022	J	`jnl`	Cloud Classification with Unsupervised Deep Learning. CoRR Takuya Kurihana, Ian T. Foster, Rebecca Willett, Sydney Jenkins, Kathryn Koenig, Ruby Werman, Ricardo Barros Lourenço, Casper Neo, Elisabeth Moyer
2022	J	`jnl`	Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder. IEEE Trans. Geosci. Remote. Sens. Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2022	A*	`conf`	Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification. NeurIPS Ruoxi Jiang, Rebecca Willett
2022	J	`jnl`	Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification. CoRR Ruoxi Jiang, Rebecca Willett
2022	J	`jnl`	Functional Linear Regression with Mixed Predictors. J. Mach. Learn. Res. Daren Wang, Zifeng Zhao, Yi Yu, Rebecca Willett
2022	A*	`conf`	Lazy Estimation of Variable Importance for Large Neural Networks. ICML Yue Gao, Abby Stevens, Garvesh Raskutti, Rebecca Willett
2022	J	`jnl`	Lazy Estimation of Variable Importance for Large Neural Networks. CoRR Yue Gao, Abby Stevens, Rebecca Willett, Garvesh Raskutti
2022	—	`conf`	NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. MLSys Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann
2022	J	`jnl`	NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction. CoRR Yi Ding, Avinash Rao, Hyebin Song, Rebecca Willett, Henry Hoffmann
2022	J	`jnl`	The Role of Linear Layers in Nonlinear Interpolating Networks. CoRR Greg Ongie, Rebecca Willett
2021	J	`jnl`	Adaptive Differentially Private Empirical Risk Minimization. CoRR Xiaoxia Wu, Lingxiao Wang, Irina Cristali, Quanquan Gu, Rebecca Willett
2021	J	`jnl`	Auto-differentiable Ensemble Kalman Filters. CoRR Yuming Chen, Daniel Sanz-Alonso, Rebecca Willett
2021	B	`conf`	Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder. e-Science Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2021	J	`jnl`	Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions. J. Mach. Learn. Res. Lili Zheng, Garvesh Raskutti, Rebecca Willett, Benjamin Mark
2021	J	`jnl`	Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder. CoRR Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster
2021	J	`jnl`	Deep Equilibrium Architectures for Inverse Problems in Imaging. CoRR Davis Gilton, Gregory Ongie, Rebecca Willett
2021	J	`jnl`	Deep Equilibrium Architectures for Inverse Problems in Imaging. IEEE Trans. Computational Imaging Davis Gilton, Gregory Ongie, Rebecca Willett
2021	A	`conf`	Localizing Changes in High-Dimensional Regression Models. AISTATS Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett, Yi Yu
2021	—	`conf`	Model Adaptation In Biomedical Image Reconstruction. ISBI Davis Gilton, Greg Ongie, Rebecca Willett
2021	J	`jnl`	Model Adaptation for Inverse Problems in Imaging. IEEE Trans. Computational Imaging Davis Gilton, Gregory Ongie, Rebecca Willett
2021	—	`conf`	Prediction in the Presence of Response-Dependent Missing Labels. SSP Hyebin Song, Garvesh Raskutti, Rebecca Willett
2021	J	`jnl`	Prediction in the presence of response-dependent missing labels. CoRR Hyebin Song, Garvesh Raskutti, Rebecca Willett
2021	A*	`conf`	Pure Exploration in Kernel and Neural Bandits. NeurIPS Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
2021	J	`jnl`	Pure Exploration in Kernel and Neural Bandits. CoRR Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert D. Nowak
2021	J	`jnl`	Statistically and Computationally Efficient Change Point Localization in Regression Settings. J. Mach. Learn. Res. Daren Wang, Zifeng Zhao, Kevin Z. Lin, Rebecca Willett
2021	J	`jnl`	Tensor Methods for Nonlinear Matrix Completion. SIAM J. Math. Data Sci. Greg Ongie, Daniel L. Pimentel-Alarcón, Laura Balzano, Rebecca Willett, Robert D. Nowak
2020	A*	`conf`	A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case. ICLR Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro
2020	J	`jnl`	An Optimal Statistical and Computational Framework for Generalized Tensor Estimation. CoRR Rungang Han, Rebecca Willett, Anru Zhang
2020	J	`jnl`	Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions. CoRR Lili Zheng, Garvesh Raskutti, Rebecca Willett, Benjamin Mark
2020	J	`jnl`	Deep Learning Techniques for Inverse Problems in Imaging. CoRR Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett
2020	J	`jnl`	Deep Learning Techniques for Inverse Problems in Imaging. IEEE J. Sel. Areas Inf. Theory Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett
2020	J	`jnl`	Detection and Description of Change in Visual Streams. CoRR Davis Gilton, Ruotian Luo, Rebecca Willett, Greg Shakhnarovich
2020	J	`jnl`	Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]. IEEE Signal Process. Mag. Antonio G. Marques, Negar Kiyavash, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
2020	J	`jnl`	Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs. SIAM J. Math. Data Sci. Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett, Hyebin Song, David Neiman
2020	J	`jnl`	Guest Editorial. IEEE J. Sel. Areas Inf. Theory Richard G. Baraniuk, Alex Dimakis, Negar Kiyavash, Sewoong Oh, Rebecca Willett
2020	J	`jnl`	Model Adaptation for Inverse Problems in Imaging. CoRR Davis Gilton, Gregory Ongie, Rebecca Willett
2020	J	`jnl`	Neumann Networks for Linear Inverse Problems in Imaging. IEEE Trans. Computational Imaging Davis Gilton, Greg Ongie, Rebecca Willett
2019	J	`jnl`	A Data-Dependent Weighted LASSO Under Poisson Noise. IEEE Trans. Inf. Theory Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2019	J	`jnl`	A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case. CoRR Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro
2019	A*	`conf`	Bilinear Bandits with Low-rank Structure. ICML Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
2019	J	`jnl`	Bilinear Bandits with Low-rank Structure. CoRR Kwang-Sung Jun, Rebecca Willett, Stephen J. Wright, Robert D. Nowak
2019	A	`conf`	Estimating Network Structure from Incomplete Event Data. AISTATS Benjamin Mark, Garvesh Raskutti, Rebecca Willett
2019	—	`conf`	Learned Patch-Based Regularization for Inverse Problems in Imaging. CAMSAP Davis Gilton, Greg Ongie, Rebecca Willett
2019	—	`conf`	Learning to Regularize Using Neumann Networks. DSW Davis Gilton, Greg Ongie, Rebecca Willett
2019	J	`jnl`	Network Estimation From Point Process Data. IEEE Trans. Inf. Theory Benjamin Mark, Garvesh Raskutti, Rebecca Willett
2019	J	`jnl`	Neumann Networks for Inverse Problems in Imaging. CoRR Davis Gilton, Greg Ongie, Rebecca Willett
2019	J	`jnl`	Online Data Thinning via Multi-Subspace Tracking. IEEE Trans. Pattern Anal. Mach. Intell. Xin Jiang Hunt, Rebecca Willett
2018	J	`jnl`	Estimating Network Structure from Incomplete Event Data. CoRR Benjamin Mark, Garvesh Raskutti, Rebecca Willett
2018	—	`conf`	Graph-Based Regularization for Regression Problems with Highly-Correlated Designs. GlobalSIP Yuan Li, Benjamin Mark, Garvesh Raskutti, Rebecca Willett
2018	J	`jnl`	Graph-based regularization for regression problems with highly-correlated designs. CoRR Yuan Li, Garvesh Raskutti, Rebecca Willett
2018	J	`jnl`	Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes. CoRR Amin Jalali, Rebecca Willett
2018	J	`jnl`	Network Estimation from Point Process Data. CoRR Benjamin Mark, Garvesh Raskutti, Rebecca Willett
2018	—	`conf`	Sparse Subspace Clustering with Missing and Corrupted Data. DSW Zachary Charles, Amin Jalali, Rebecca Willett
2018	C	`conf`	Sparse Transition Matrix Estimation for Sub-Gaussian Autoregressive Processes with Missing Data. ACC Amin Jalali, Rebecca Willett
2018	J	`jnl`	Tensor Methods for Nonlinear Matrix Completion. CoRR Greg Ongie, Laura Balzano, Daniel L. Pimentel-Alarcón, Rebecca Willett, Robert D. Nowak
2017	A*	`conf`	Algebraic Variety Models for High-Rank Matrix Completion. ICML Greg Ongie, Rebecca Willett, Robert D. Nowak, Laura Balzano
2017	—	`conf`	Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data. MLHC Yujia Bao, Zhaobin Kuang, Peggy L. Peissig, David Page, Rebecca Willett
2017	A	`conf`	Improved Strongly Adaptive Online Learning using Coin Betting. AISTATS Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
2017	—	`conf`	Low algebraic dimension matrix completion. Allerton Daniel L. Pimentel-Alarcón, Gregory Ongie, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017	—	`conf`	Network estimation via poisson autoregressive models. CAMSAP Benjamin Mark, Garvesh Raskutti, Rebecca Willett
2017	A*	`conf`	On Learning High Dimensional Structured Single Index Models. AAAI Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert D. Nowak
2017	J	`jnl`	Online Learning for Changing Environments using Coin Betting. CoRR Kwang-Sung Jun, Francesco Orabona, Stephen J. Wright, Rebecca Willett
2017	—	`conf`	Proximal-Gradient methods for poisson image reconstruction with BM3D-Based regularization. CAMSAP Willem J. Marais, Rebecca Willett
2017	—	`conf`	Scalable Generalized Linear Bandits: Online Computation and Hashing. NIPS Kwang-Sung Jun, Aniruddha Bhargava, Robert D. Nowak, Rebecca Willett
2017	J	`jnl`	Scalable Generalized Linear Bandits: Online Computation and Hashing. CoRR Kwang-Sung Jun, Aniruddha Bhargava, Robert D. Nowak, Rebecca Willett
2017	Misc	`conf`	Signal representations in modern signal processing. ICASSP Rebecca Willett
2017	—	`conf`	Subspace Clustering via Tangent Cones. NIPS Amin Jalali, Rebecca Willett
2016	B	`conf`	Atmospheric lidar imaging and poisson inverse problems. ICIP Willem J. Marais, Robert E. Holz, Yu Hen Hu, Rebecca Willett
2016	—	`conf`	Genomic transcription regulatory element location analysis via poisson weighted lasso. SSP Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2016	—	`conf`	Group-sparse subspace clustering with missing data. SSP Daniel L. Pimentel-Alarcón, Laura Balzano, Roummel F. Marcia, Robert D. Nowak, Rebecca Willett
2016	J	`jnl`	Improved Strongly Adaptive Online Learning using Coin Betting. CoRR Kwang-Sung Jun, Francesco Orabona, Rebecca Willett, Stephen J. Wright
2016	J	`jnl`	Inference of High-dimensional Autoregressive Generalized Linear Models. CoRR Eric C. Hall, Garvesh Raskutti, Rebecca Willett
2016	—	`conf`	Inferring high-dimensional poisson autoregressive models. SSP Eric C. Hall, Garvesh Raskutti, Rebecca Willett
2016	J	`jnl`	On Learning High Dimensional Structured Single Index Models. CoRR Nikhil Rao, Ravi Ganti, Laura Balzano, Rebecca Willett, Robert D. Nowak
2016	J	`jnl`	Online Data Thinning via Multi-Subspace Tracking. CoRR Xin Jiang Hunt, Rebecca Willett
2016	—	`conf`	Regret minimization algorithms for single-controller zero-sum stochastic games. CDC Peng Guan, Maxim Raginsky, Rebecca Willett, Daphney-Stavroula Zois
2015	J	`jnl`	A data-dependent weighted LASSO under Poisson noise. CoRR Xin Jiang Hunt, Patricia Reynaud-Bouret, Vincent Rivoirard, Laure Sansonnet, Rebecca Willett
2015	—	`conf`	Matrix Completion Under Monotonic Single Index Models. NIPS Ravi Sastry Ganti Mahapatruni, Laura Balzano, Rebecca Willett
2015	J	`jnl`	Matrix Completion Under Monotonic Single Index Models. CoRR Ravi Ganti, Laura Balzano, Rebecca Willett
2015	J	`jnl`	Minimax Optimal Rates for Poisson Inverse Problems With Physical Constraints. IEEE Trans. Inf. Theory Xin Jiang Hunt, Garvesh Raskutti, Rebecca Willett
2014	C	`conf`	From minimax value to low-regret algorithms for online Markov decision processes. ACC Peng Guan, Maxim Raginsky, Rebecca Willett
2014	J	`jnl`	Online Markov decision processes with Kullback-Leibler control cost. CoRR Peng Guan, Maxim Raginsky, Rebecca Willett
2014	J	`jnl`	Poisson Noise Reduction with Non-local PCA. J. Math. Imaging Vis. Joseph Salmon, Zachary T. Harmany, Charles-Alban Deledalle, Rebecca Willett
2013	J	`jnl`	Change-Point Detection for High-Dimensional Time Series With Missing Data. IEEE J. Sel. Top. Signal Process. Yao Xie, Jiaji Huang, Rebecca Willett
2013	—	`conf`	Dynamical Models and tracking regret in online convex programming. ICML (1) Eric C. Hall, Rebecca Willett
2013	J	`jnl`	Level Set Estimation from Projection Measurements: Performance Guarantees and Fast Computation. SIAM J. Imaging Sci. Kalyani Krishnamurthy, Waheed U. Bajwa, Rebecca Willett
2013	Misc	`conf`	Online logistic regression on manifolds. ICASSP Yao Xie, Rebecca Willett
2013	—	`conf`	Online optimization in parametric dynamic environments. Allerton Eric C. Hall, Rebecca Willett
2013	J	`jnl`	Relax but stay in control: from value to algorithms for online Markov decision processes. CoRR Peng Guan, Maxim Raginsky, Rebecca Willett
2012	—	`conf`	A two-stage denoising filter: The preprocessed Yaroslavsky filter. SSP Joseph Salmon, Rebecca Willett, Ery Arias-Castro
2012	J	`jnl`	A two-stage denoising filter: the preprocessed Yaroslavsky filter CoRR Joseph Salmon, Rebecca Willett, Ery Arias-Castro
2012	J	`jnl`	Changepoint detection for high-dimensional time series with missing data CoRR Yao Xie, Jiaji Huang, Rebecca Willett
2012	—	`conf`	Multiscale online tracking of manifolds. SSP Yao Xie, Jiaji Huang, Rebecca Willett
2012	C	`conf`	Online Markov decision processes with Kullback-Leibler control cost. ACC Peng Guan, Maxim Raginsky, Rebecca Willett
2012	J	`jnl`	Oracle Inequalities and Minimax Rates for Nonlocal Means and Related Adaptive Kernel-Based Methods. SIAM J. Imaging Sci. Ery Arias-Castro, Joseph Salmon, Rebecca Willett
2012	J	`jnl`	Poisson noise reduction with non-local PCA CoRR Joseph Salmon, Zachary T. Harmany, Charles-Alban Deledalle, Rebecca Willett
2012	Misc	`conf`	Poisson noise reduction with non-local PCA. ICASSP Joseph Salmon, Charles-Alban Deledalle, Rebecca Willett, Zachary T. Harmany
2012	J	`jnl`	Target detection performance bounds in compressive imaging. EURASIP J. Adv. Signal Process. Kalyani Krishnamurthy, Rebecca Willett, Maxim Raginsky
2012	—	`conf`	The value of multispectral observations in photon-limited quantitative tissue analysis. SSP Zachary T. Harmany, Xin Jiang Hunt, Rebecca Willett
2011	C	`conf`	Decentralized Online Convex Programming with local information. ACC Maxim Raginsky, Nooshin Kiarashi, Rebecca Willett
2011	Misc	`conf`	Online anomaly detection with expert system feedback in social networks. ICASSP Corinne Horn, Rebecca Willett
2011	J	`jnl`	Oracle inequalities and minimax rates for non-local means and related adaptive kernel-based methods CoRR Ery Arias-Castro, Joseph Salmon, Rebecca Willett
2011	Misc	`conf`	Time-evolving modeling of social networks. ICASSP Eric Wang, Jorge G. Silva, Rebecca Willett, Lawrence Carin
2010	J	`jnl`	Compressed sensing performance bounds under Poisson noise. IEEE Trans. Signal Process. Maxim Raginsky, Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia
2010	Misc	`conf`	Fishing in Poisson streams: Focusing on the whales, ignoring the minnows. CISS Maxim Raginsky, Sina Jafarpour, Rebecca Willett, A. Robert Calderbank
2010	J	`jnl`	Fishing in Poisson streams: focusing on the whales, ignoring the minnows CoRR Maxim Raginsky, Sina Jafarpour, Rebecca Willett, A. Robert Calderbank
2010	B	`conf`	Gradient projection for linearly constrained convex optimization in sparse signal recovery. ICIP Zachary T. Harmany, Daniel Thompson, Rebecca Willett, Roummel F. Marcia
2010	Misc	`conf`	Hyperspectral target detection from incoherent projections. ICASSP Kalyani Krishnamurthy, Maxim Raginsky, Rebecca Willett
2010	B	`conf`	Hyperspectral target detection from incoherent projections: Nonequiprobable targets and inhomogeneous SNR. ICIP Kalyani Krishnamurthy, Maxim Raginsky, Rebecca Willett
2010	J	`jnl`	Multiscale Photon-Limited Spectral Image Reconstruction. SIAM J. Imaging Sci. Kalyani Krishnamurthy, Maxim Raginsky, Rebecca Willett
2010	J	`jnl`	Performance bounds for expander-based compressed sensing in Poisson noise CoRR Maxim Raginsky, Sina Jafarpour, Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett, A. Robert Calderbank
2010	B	`conf`	Poisson image reconstruction with total variation regularization. ICIP Rebecca Willett, Zachary T. Harmany, Roummel F. Marcia
2010	—	`conf`	SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging. Computational Imaging Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
2010	—	`conf`	Sparsity-regularized photon-limited imaging. ISBI Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
2009	J	`jnl`	Compressed sensing performance bounds under Poisson noise CoRR Maxim Raginsky, Zachary T. Harmany, Roummel F. Marcia, Rebecca Willett
2009	—	`conf`	Compressive coded aperture imaging. Computational Imaging Roummel F. Marcia, Zachary T. Harmany, Rebecca Willett
2009	J	`jnl`	Hypergraph-Based Anomaly Detection of High-Dimensional Co-Occurrences. IEEE Trans. Pattern Anal. Mach. Intell. Jorge G. Silva, Rebecca Willett
2009	—	`conf`	Image Reconstruction of Multiphoton Microscopy Data. ISBI Jared Doot, Kevin W. Eliceiri, Robert D. Nowak, Rebecca Willett
2009	J	`jnl`	Minimax risk for Poisson compressed sensing CoRR Rebecca Willett, Maxim Raginsky
2009	J	`jnl`	Performance Bounds for Expander-based Compressed Sensing in the presence of Poisson Noise CoRR Sina Jafarpour, Rebecca Willett, Maxim Raginsky, A. Robert Calderbank
2009	J	`jnl`	Sequential anomaly detection in the presence of noise and limited feedback CoRR Maxim Raginsky, Roummel F. Marcia, Jorge G. Silva, Rebecca Willett
2008	Misc	`conf`	Compressive coded aperture superresolution image reconstruction. ICASSP Roummel F. Marcia, Rebecca Willett
2008	—	`conf`	Controlling the error in FMRI: Hypothesis testing or set estimation? ISBI Zachary T. Harmany, Rebecca Willett, Aarti Singh, Robert D. Nowak
2008	Misc	`conf`	Detection of anomalous meetings in a social network. CISS Jorge G. Silva, Rebecca Willett
2008	B	`conf`	Fast disambiguation of superimposed images for increased field of view. ICIP Roummel F. Marcia, Changsoon Kim, Jungsang Kim, David J. Brady, Rebecca Willett
2008	—	`conf`	Near-minimax recursive density estimation on the binary hypercube. NIPS Maxim Raginsky, Svetlana Lazebnik, Rebecca Willett, Jorge G. Silva
2007	J	`jnl`	Minimax Optimal Level-Set Estimation. IEEE Trans. Image Process. Rebecca Willett, Robert D. Nowak
2007	—	`conf`	Multiscale Intensity Estimation for Marked Poisson Processes. ICASSP (3) Rebecca Willett
2007	—	`conf`	Multiscale Intensity Estimation for Multi-Photon Microscopy. ISBI Rebecca Willett
2007	J	`jnl`	Multiscale Poisson Intensity and Density Estimation. IEEE Trans. Inf. Theory Rebecca Willett, Robert D. Nowak
2007	—	`conf`	Multiscale Reconstruction for Photon-Limited Shifted Excitation Raman Spectroscopy. ICASSP (3) Rebecca Willett
2005	—	`conf`	Faster Rates in Regression via Active Learning. NIPS Rui M. Castro, Rebecca Willett, Robert D. Nowak
2005	—	`conf`	Level set estimation via trees [signal processing applications]. ICASSP (5) Rebecca Willett, Robert D. Nowak
2004	—	`conf`	Backcasting: adaptive sampling for sensor networks. IPSN Rebecca Willett, Aline Martin, Robert D. Nowak
2004	—	`conf`	Coarse-to-fine manifold learning [image processing example]. ICASSP (3) Rui M. Castro, Rebecca Willett, Robert D. Nowak
2004	J	`jnl`	Estimating inhomogeneous fields using wireless sensor networks. IEEE J. Sel. Areas Commun. Robert D. Nowak, Urbashi Mitra, Rebecca Willett
2004	—	`conf`	Fast Multiresolution Photon-Limited Image Reconstruction. ISBI Rebecca Willett, Robert D. Nowak
2004	—	`conf`	Fast, near-optimal, multiresolution estimation of poisson signals and images. EUSIPCO Rebecca Willett, Robert D. Nowak
2003	J	`jnl`	Platelets: A Multiscale Approach for Recovering Edges and Surfaces in Photon LimitedMedical Imaging. IEEE Trans. Medical Imaging Rebecca Willett, Robert D. Nowak
2002	—	`conf`	Platelets for multiscale analysis in photon-limited imaging. ICIP (1) Rebecca Willett, Robert D. Nowak