Rebecca Willett

1. Deep Learning Techniques for Inverse Problems in Imaging
   2020/05/12 by Greg Ongie, Ongie, Gregory, Ajil Jalal +9 · 29 citations
   Medicine · Engineering · #Medical Imaging Techniques and Applications #Sparse and Compressive Sensing Techniques #Advanced X-ray and CT Imaging
2. A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
   2019/10/03 by Greg Ongie, Rebecca Willett, Ongie, Greg +5 · 1 voice · 9 citations
   Computer Science · Engineering · Physics and Astronomy · #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical methods in engineering #VLSI and Analog Circuit Testing #VLSI and FPGA Design Techniques #cs.LG #stat.ML
3. An optimal statistical and computational framework for generalized tensor estimation
   2022/02/01 by Rungang Han, Rebecca Willett, Anru R. Zhang · 7 citations
   Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications #Blind Source Separation Techniques
4. Bilinear Bandits with Low-rank Structure
   2019/01/08 by Kwang-Sung Jun, Jun, Kwang-Sung, Rebecca Willett +5 · 5 citations
   Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques
5. Scalable Generalized Linear Bandits: Online Computation and Hashing
   2017/06/01 by Kwang-Sung Jun, Jun, Kwang-Sung, Aniruddha Bhargava +5 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
6. Auto-differentiable Ensemble Kalman Filters
   2021/07/16 by Yuming Chen, Daniel Sanz-Alonso, Chen, Yuming +3 · 3 citations
   Earth and Planetary Sciences · Environmental Science · Engineering · #Meteorological Phenomena and Simulations #Climate variability and models #Reservoir Engineering and Simulation Methods
7. Functional Linear Regression with Mixed Predictors
   2020/12/01 by Daren Wang, Wang, Daren, Zifeng Zhao +5 · 3 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Numerical methods in inverse problems #Statistical Methods and Inference #Statistics Theory (math.ST)
8. Bagging Provides Assumption-free Stability
   2023/01/30 by Jake A. Soloff, Rina Foygel Barber, Soloff, Jake A. +3 · 3 citations
   Computer Science · Physics and Astronomy · #Explainable Artificial Intelligence (XAI) #Neural Networks and Applications #Model Reduction and Neural Networks
9. Training neural operators to preserve invariant measures of chaotic attractors
   2023/06/01 by Ruoxi Jiang, Peter Y. Lu, Jiang, Ruoxi +5 · 3 citations
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Neural Networks and Applications #Model Reduction and Neural Networks
10. Can a calibration metric be both testable and actionable?
    2025/02/27 by Raphael Rossellini, Jake A. Soloff, Rossellini, Raphael +7 · 1 voice · 6 citations
    Decision Sciences · Earth and Planetary Sciences · Mathematics · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Methodology (stat.ME) #Risk and Portfolio Optimization #stat.ME #stat.ML
11. Localizing Changes in High-Dimensional Vector Autoregressive Processes
    2019/09/12 by Daren Wang, Wang, Daren, Yi Yu +5 · 2 citations
    Mathematics · Engineering · Economics, Econometrics and Finance · #Statistical Methods and Inference #Control Systems and Identification #Complex Systems and Time Series Analysis
12. Oracle inequalities and minimax rates for non-local means and related\n adaptive kernel-based methods
    2011/12/19 by Ery Arias-Castro, Arias-Castro, Ery, Joseph Salmon +3 · 1 citation
    Computer Science · Mathematics · #Image and Signal Denoising Methods #Neural Networks and Applications #Advanced Statistical Methods and Models
13. Online Markov decision processes with Kullback-Leibler control cost
    2014/01/14 by Peng Guan, Maxim Raginsky, Guan, Peng +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Optimization and Search Problems #Reinforcement Learning in Robotics #Systems and Control (eess.SY) #electronic engineering #information engineering
14. Minimax Optimal Rates for Poisson Inverse Problems with Physical Constraints
    2014/03/25 by Xin Jiang, Jiang, Xin, Garvesh Raskutti +3 · 1 citation
    Engineering · Medicine · #FOS: Mathematics #Medical Imaging Techniques and Applications #Photoacoustic and Ultrasonic Imaging #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
15. Improved Strongly Adaptive Online Learning using Coin Betting
    2016/10/14 by Kwang-Sung Jun, Francesco Orabona, Jun, Kwang-Sung +5 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
16. Localizing Changes in High-Dimensional Regression Models
    2020/10/20 by Alessandro Rinaldo, Daren Wang, Rinaldo, Alessandro +7 · 1 citation
    Mathematics · Engineering · #Statistical Methods and Inference #Control Systems and Identification #Advanced Statistical Methods and Models
17. Data Assimilation with Machine Learning Surrogate Models: A Case Study with FourCastNet
    2024/05/21 by Melissa Adrian, Adrian, Melissa, Daniel Sanz-Alonso +3 · 2 citations
    Decision Sciences · #Applications (stat.AP) #Atmospheric and Oceanic Physics (physics.ao-ph) #Big Data Technologies and Applications #Chaotic Dynamics (nlin.CD) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
18. Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
    2022/11/03 by Ruoxi Jiang, Jiang, Ruoxi, Rebecca Willett +1 · 1 citation
    Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference #Fluid Dynamics and Turbulent Flows
19. Residual Connections Harm Generative Representation Learning
    2024/04/16 by Xiao Zhang, Ruoxi Jiang, Zhang, Xiao +7 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning and Data Classification #Text and Document Classification Technologies
20. Hardware Acceleration for HPS Algorithms in Two and Three Dimensions
    2025/03/21 by Owen Melia, Daniel Fortunato, Melia, Owen +5 · 1 citation
    Computer Science · Physics and Astronomy · Engineering · #Matrix Theory and Algorithms #Model Reduction and Neural Networks #Advanced Numerical Methods in Computational Mathematics
21. Diffusion models recover accurate mixture weights despite score function insensitivity
    2026/07/16 by Andrew Dennehy, Ramchandran Muthukumar, Rebecca Willett +1
    #cs.LG #math.PR #stat.ML