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Benjamin Recht

  1. Understanding deep learning requires rethinking generalization
    2016/11/10 by Chiyuan Zhang, Zhang, Chiyuan, Samy Bengio +7 · 9 voices · 166 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Stochastic Gradient Optimization Techniques #cs.LG
  2. Simple random search provides a competitive approach to reinforcement learning
    2018/03/19 by Horia Mania, Aurelia Guy, Mania, Horia +3 · 6 voices · 8 citations
    #cs.LG #cs.AI #math.OC #stat.ML
  3. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
    2010/01/01 by Benjamin Recht, Maryam Fazel, Pablo A. Parrilo · 195 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques #Indoor and Outdoor Localization Technologies
  4. Understanding deep learning (still) requires rethinking generalization
    2021/02/22 by Chiyuan Zhang, Samy Bengio, Moritz Hardt +2 · 137 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Stochastic Gradient Optimization Techniques
  5. Do ImageNet Classifiers Generalize to ImageNet?
    2019/02/13 by Benjamin Recht, Rebecca Roelofs, Recht, Benjamin +5 · 1 voice · 123 citations
    #cs.CV #cs.LG #stat.ML
  6. Do CIFAR-10 Classifiers Generalize to CIFAR-10?
    2018/06/01 by Benjamin Recht, Recht, Benjamin, Rebecca Roelofs +5 · 2 voices · 22 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #cs.LG #stat.ML
  7. HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
    2011/06/28 by Feng Niu, Niu, Feng, Benjamin Recht +5 · 133 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and Algorithms
  8. Plenoxels: Radiance Fields without Neural Networks
    2021/12/09 by Alexander Yu, Yu, Alex, Sara Fridovich-Keil +9 · 122 citations
    Computer Science · Engineering · #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Advanced Optical Imaging Technologies
  9. K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
    2023/01/24 by Sara Fridovich-Keil, Giacomo Meanti, Fridovich-Keil, Sara +7 · 82 citations
    Computer Science · #Advanced Vision and Imaging #Image Enhancement Techniques #Computer Graphics and Visualization Techniques
  10. A Simpler Approach to Matrix Completion
    2009/10/05 by Benjamin Recht, Recht, Benjamin · 50 citations
    Engineering · Mathematics · #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research #Tensor decomposition and applications
  11. numpywren: serverless linear algebra
    2018/10/23 by Vaishaal Shankar, Shankar, Vaishaal, Karl Krauth +14 · 3 voices · 3 citations
    Computer Science · #cs.DC
  12. Patterns, predictions, and actions: A story about machine learning
    2021/02/10 by Moritz Hardt, Benjamin Recht, Hardt, Moritz +1 · 4 voices · 1 citation
    #cs.LG #stat.ML
  13. Occupy the Cloud: Distributed Computing for the 99%
    2017/02/13 by Eric Jonas, Jonas, Eric, Qifan Pu +7 · 1 voice · 6 citations
    Computer Science · #Advanced Data Storage Technologies #Cloud Computing and Resource Management #IoT and Edge/Fog Computing #cs.DC
  14. Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints
    2014/08/15 by Laurent Lessard, Benjamin Recht, Andrew Packard · 1 voice · 13 citations
    Mathematics · Engineering · #math.OC #eess.SY #math.NA
  15. On the Sample Complexity of the Linear Quadratic Regulator
    2017/10/04 by Sarah Dean, Horia Mania, Dean, Sarah +7 · 25 citations
    Computer Science · Engineering · #Machine Learning and Algorithms #Control Systems and Identification #Reinforcement Learning in Robotics
  16. Atomic Norm Denoising With Applications to Line Spectral Estimation
    2013/07/16 by Badri Narayan Bhaskar, Gongguo Tang, Benjamin Recht · 17 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Distributed Sensor Networks and Detection Algorithms #Microwave Imaging and Scattering Analysis
  17. Low-rank Solutions of Linear Matrix Equations via Procrustes Flow
    2015/07/13 by Stephen Tu, Ross Boczar, Tu, Stephen +7 · 16 citations
    Engineering · Mathematics · #FOS: Mathematics #Microwave Imaging and Scattering Analysis #Numerical methods in inverse problems #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
  18. Atomic norm denoising with applications to line spectral estimation
    2012/04/03 by Badri Narayan Bhaskar, Bhaskar, Badri Narayan, Gongguo Tang +3 · 11 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Structural Health Monitoring Techniques #Blind Source Separation Techniques
  19. Gradient Descent Converges to Minimizers
    2016/02/16 by Jason D. Lee, Lee, Jason D., Max Simchowitz +5 · 20 citations
    Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth
  20. Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
    2018/05/23 by Sarah Dean, Dean, Sarah, Horia Mania +7 · 15 citations
    Decision Sciences · Engineering · #Advanced Adaptive Filtering Techniques #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  21. Online Identification and Tracking of Subspaces from Highly Incomplete\n Information
    2010/06/21 by Laura Balzano, Robert D. Nowak, Balzano, Laura +3 · 5 citations
    Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Systems and Control (eess.SY) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering
  22. Learning Linear Dynamical Systems with Semi-Parametric Least Squares
    2019/02/02 by Max Simchowitz, Simchowitz, Max, Ross Boczar +3 · 9 citations
    Computer Science · Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  23. Query Complexity of Derivative-Free Optimization
    2012/09/11 by Kevin Jamieson, Robert D. Nowak, Jamieson, Kevin G. +3 · 3 citations
    Computer Science · #Complexity and Algorithms in Graphs #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  24. The Effect of Natural Distribution Shift on Question Answering Models
    2020/04/29 by J. J. Miller, Miller, John, Karl Krauth +5 · 5 citations
    Computer Science · #Topic Modeling #Expert finding and Q&A systems #Multimodal Machine Learning Applications
  25. Representation Matters: Assessing the Importance of Subgroup Allocations\n in Training Data
    2021/03/04 by Esther Rolf, Rolf, Esther, Theodora Worledge +5 · 4 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
  26. Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
    2021/06/30 by Mihaela Curmei, Curmei, Mihaela, Sarah Dean +3 · 3 citations
    Decision Sciences · Economics, Econometrics and Finance · Computer Science · #Advanced Bandit Algorithms Research #Game Theory and Voting Systems #Recommender Systems and Techniques
  27. The Simulator: Understanding Adaptive Sampling in the\n Moderate-Confidence Regime
    2017/02/16 by Max Simchowitz, Simchowitz, Max, Kevin Jamieson +3 · 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 #Optimization and Search Problems
  28. A Bureaucratic Theory of Statistics
    2025/01/07 by Benjamin Recht, Recht, Benjamin · 8 voices · 1 citation
    Mathematics · Decision Sciences · #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #Meta-analysis and systematic reviews
  29. Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
    2019/05/30 by Karl Krauth, Krauth, Karl, Stephen Tu +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  30. Certainty Equivalent Perception-Based Control
    2020/08/27 by Sarah Dean, Benjamin Recht, Dean, Sarah +1 · 1 citation
    Computer Science · Engineering · #Advanced Control Systems Optimization #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Target Tracking and Data Fusion in Sensor Networks
  31. Separating Geometry from Probability in the Analysis of Generalization
    2026/04/21 by Maxim Raginsky, Benjamin Recht · 3 voices · 1 citation
    #cs.LG #math.OC #stat.ML
  32. Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification
    2017/07/15 by Stephen Tu, Ross Boczar, Tu, Stephen +5 · 2 citations
    Engineering · #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Structural Health Monitoring Techniques
  33. Near Minimax Line Spectral Estimation
    2013/03/18 by Gongguo Tang, Tang, Gongguo, Badri Narayan Bhaskar +3 · 1 citation
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Structural Health Monitoring Techniques #Blind Source Separation Techniques
  34. The Actuary's Final Word on Algorithmic Decision Making
    2025/09/04 by Benjamin Recht, Recht, Benjamin · 3 voices
    #stat.OT