Benjamin Recht

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 142

Top Venues

CoRR

ICML

NeurIPS

COLT

Publications

Paula Gradu, Benjamin Recht
Online Control for Adaptive Tapering of Medications. CDC (2023)
Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CVPR (2023)
Sara Fridovich-Keil, Fabrizio Valdivia, Gordon Wetzstein, Benjamin Recht, Mahdi Soltanolkotabi
Gradient Descent Provably Solves Nonlinear Tomographic Reconstruction. CoRR (2023)
Tengyuan Liang, Benjamin Recht
Interpolating Classifiers Make Few Mistakes. J. Mach. Learn. Res. 24 (2023)
Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR (2023)
Mihaela Curmei, Andreas A. Haupt, Dylan Hadfield-Menell, Benjamin Recht
Towards Psychologically-Grounded Dynamic Preference Models. CoRR (2022)
Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell
Towards Psychologically-Grounded Dynamic Preference Models. RecSys (2022)
Horia Mania, Michael I. Jordan, Benjamin Recht
Active Learning for Nonlinear System Identification with Guarantees. J. Mach. Learn. Res. 23 (2022)
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa
Plenoxels: Radiance Fields without Neural Networks. CVPR (2022)
Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger
Preface. L4DC (2021)
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CDC (2021)
Esther Rolf, Theodora Worledge, Benjamin Recht, Michael I. Jordan
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. CoRR (2021)
Moritz Hardt, Benjamin Recht
Patterns, predictions, and actions: A story about machine learning. CoRR (2021)
Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa
Plenoxels: Radiance Fields without Neural Networks. CoRR (2021)
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
A Successive-Elimination Approach to Adaptive Robotic Source Seeking. IEEE Trans. Robotics 37 (1) (2021)
Mihaela Curmei, Sarah Dean, Benjamin Recht
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. ICML (2021)
Esther Rolf, Theodora T. Worledge, Benjamin Recht, Michael I. Jordan
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. ICML (2021)
Tengyuan Liang, Benjamin Recht
Interpolating Classifiers Make Few Mistakes. CoRR (2021)
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
Do Image Classifiers Generalize Across Time? ICCV (2021)
Mihaela Curmei, Sarah Dean, Benjamin Recht
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. CoRR (2021)
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals
Understanding deep learning (still) requires rethinking generalization. Commun. ACM 64 (3) (2021)
Sarah Dean, Benjamin Recht
Certainty Equivalent Perception-Based Control. L4DC (2021)
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
Measuring Robustness to Natural Distribution Shifts in Image Classification. NeurIPS (2020)
Sarah Dean, Sarah Rich, Benjamin Recht
Recommendations and user agency: the reachability of collaboratively-filtered information. FAT* (2020)
Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt
Evaluating Machine Accuracy on ImageNet. ICML (2020)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht
Neural Kernels Without Tangents. CoRR (2020)
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht
Neural Kernels Without Tangents. ICML (2020)
Sarah Dean, Benjamin Recht
Certainty Equivalent Perception-Based Control. CoRR (2020)
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
On the Sample Complexity of the Linear Quadratic Regulator. Found. Comput. Math. 20 (4) (2020)
Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye
Robust Guarantees for Perception-Based Control. L4DC (2020)
Horia Mania, Michael I. Jordan, Benjamin Recht
Active Learning for Nonlinear System Identification with Guarantees. CoRR (2020)
Esther Rolf, Michael I. Jordan, Benjamin Recht
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. AISTATS (2020)
Esther Rolf, Jonathan Proctor, Tamma Carleton, Ian Bolliger, Vaishaal Shankar, Miyabi Ishihara, Benjamin Recht, Solomon Hsiang
A Generalizable and Accessible Approach to Machine Learning with Global Satellite Imagery. CoRR (2020)
Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRR (2020)
John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt
The Effect of Natural Distribution Shift on Question Answering Models. ICML (2020)
Sarah Dean, Andrew J. Taylor, Ryan K. Cosner, Benjamin Recht, Aaron D. Ames
Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions. CoRL (2020)
Wenshuo Guo, Mihaela Curmei, Serena Wang, Benjamin Recht, Michael I. Jordan
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR (2020)
Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman
Serverless linear algebra. SoCC (2020)
Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan
Do Offline Metrics Predict Online Performance in Recommender Systems? CoRR (2020)
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
Measuring Robustness to Natural Distribution Shifts in Image Classification. CoRR (2020)
Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Jonathan Ben-tzur, Moritz Hardt, Benjamin Recht, Ameet Talwalkar
A System for Massively Parallel Hyperparameter Tuning. MLSys (2020)
John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt
The Effect of Natural Distribution Shift on Question Answering Models. CoRR (2020)
Andrew J. Taylor, Victor D. Dorobantu, Sarah Dean, Benjamin Recht, Yisong Yue, Aaron D. Ames
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation Uncertainty. CoRR (2020)
Esther Rolf, Michael I. Jordan, Benjamin Recht
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. CoRR (2020)
Sarah Dean, Sarah Rich, Benjamin Recht
Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information. CoRR (2019)
Karl Krauth, Stephen Tu, Benjamin Recht
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator. CoRR (2019)
Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht
First-order methods almost always avoid strict saddle points. Math. Program. 176 (1-2) (2019)
Horia Mania, Stephen Tu, Benjamin Recht
Certainty Equivalent Control of LQR is Efficient. CoRR (2019)
Benjamin Recht
A Tour of Reinforcement Learning: The View from Continuous Control. Annu. Rev. Control. Robotics Auton. Syst. 2 (2019)
Horia Mania, Stephen Tu, Benjamin Recht
Certainty Equivalence is Efficient for Linear Quadratic Control. NeurIPS (2019)
Somayeh Sojoudi, Benjamin Recht, John C. Doyle
Mathematical Models of Physiological Responses to Exercise. ACC (2019)
Max Simchowitz, Ross Boczar, Benjamin Recht
Learning Linear Dynamical Systems with Semi-Parametric Least Squares. CoRR (2019)
Stephen Tu, Benjamin Recht
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint. COLT (2019)
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
Do ImageNet Classifiers Generalize to ImageNet? ICML (2019)
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
Do ImageNet Classifiers Generalize to ImageNet? CoRR (2019)
Max Simchowitz, Ross Boczar, Benjamin Recht
Learning Linear Dynamical Systems with Semi-Parametric Least Squares. COLT (2019)
Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht
Model Similarity Mitigates Test Set Overuse. NeurIPS (2019)
Stephen Tu, Ross Boczar, Benjamin Recht
Minimax Lower Bounds for H∞-Norm Estimation. ACC (2019)
Karl Krauth, Stephen Tu, Benjamin Recht
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator. NeurIPS (2019)
Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye
Robust Guarantees for Perception-Based Control. CoRR (2019)
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt
A systematic framework for natural perturbations from videos. CoRR (2019)
Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt
A Meta-Analysis of Overfitting in Machine Learning. NeurIPS (2019)
Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht
Safely Learning to Control the Constrained Linear Quadratic Regulator. ACC (2019)
Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht
Model Similarity Mitigates Test Set Overuse. CoRR (2019)
Stephen Tu, Ross Boczar, Benjamin Recht
-Norm Estimation. CoRR (2018)
Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar
Massively Parallel Hyperparameter Tuning. CoRR (2018)
Benjamin Recht
A Tour of Reinforcement Learning: The View from Continuous Control. CoRR (2018)
Horia Mania, Aurelia Guy, Benjamin Recht
Simple random search of static linear policies is competitive for reinforcement learning. NeurIPS (2018)
Ross Boczar, Nikolai Matni, Benjamin Recht
Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System. CoRR (2018)
Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification. COLT (2018)
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin
A Successive-Elimination Approach to Adaptive Robotic Sensing. CoRR (2018)
Max Simchowitz, Ahmed El Alaoui, Benjamin Recht
Tight Query Complexity Lower Bounds for PCA via Finite Sample Deformed Wigner Law. CoRR (2018)
Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi
Sharp Time-Data Tradeoffs for Linear Inverse Problems. IEEE Trans. Inf. Theory 64 (6) (2018)
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. CoRR (2018)
Stephen Tu, Ross Boczar, Benjamin Recht
-norm Estimation. ACC (2018)
Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification. CoRR (2018)
Stephen Tu, Benjamin Recht
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator. ICML (2018)
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar
Do CIFAR-10 Classifiers Generalize to CIFAR-10? CoRR (2018)
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. NeurIPS (2018)
Moritz Hardt, Tengyu Ma, Benjamin Recht
Gradient Descent Learns Linear Dynamical Systems. J. Mach. Learn. Res. 19 (2018)
Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht
Safely Learning to Control the Constrained Linear Quadratic Regulator. CoRR (2018)
Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley
numpywren: serverless linear algebra. CoRR (2018)
Ross Boczar, Nikolai Matni, Benjamin Recht
Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System. CDC (2018)
Max Simchowitz, Ahmed El Alaoui, Benjamin Recht
Tight query complexity lower bounds for PCA via finite sample deformed wigner law. STOC (2018)
Stephen Tu, Benjamin Recht
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint. CoRR (2018)
Horia Mania, Aurelia Guy, Benjamin Recht
Simple random search provides a competitive approach to reinforcement learning. CoRR (2018)
Orianna DeMasi, Benjamin Recht
A step towards quantifying when an algorithm can and cannot predict an individual's wellbeing. UbiComp/ISWC Adjunct (2017)
Ian Bolliger, Tamma Carleton, Solomon Hsiang, Jonathan Kadish, Jonathan Proctor, Benjamin Recht, Esther Rolf, Vaishaal Shankar
Ground Control to Major Tom: the importance of field surveys in remotely sensed data analysis. CoRR (2017)
Orianna DeMasi, Benjamin Recht
An example of how false conclusions could be made with personalized health tracking and suggestions for avoiding similar situations. CoRR (2017)
Stephen Tu, Ross Boczar, Benjamin Recht
On the Approximation of Toeplitz Operators for Nonparametric $\mathcal{H}_\infty$-norm Estimation. CoRR (2017)
Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht
Occupy the Cloud: Distributed Computing for the 99%. CoRR (2017)
Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. ICDE (2017)
Max Simchowitz, Ahmed El Alaoui, Benjamin Recht
On the Gap Between Strict-Saddles and True Convexity: An Omega(log d) Lower Bound for Eigenvector Approximation. CoRR (2017)
Max Simchowitz, Kevin G. Jamieson, Benjamin Recht
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime. COLT (2017)
Stephen Tu, Benjamin Recht
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator. CoRR (2017)
Eric Jonas, Monica G. Bobra, Vaishaal Shankar, J. Todd Hoeksema, Benjamin Recht
Flare Prediction Using Photospheric and Coronal Image Data. CoRR (2017)
Ross Boczar, Laurent Lessard, Andrew K. Packard, Benjamin Recht
Exponential Stability Analysis via Integral Quadratic Constraints. CoRR (2017)
Eric Jonas, Qifan Pu, Shivaram Venkataraman, Ion Stoica, Benjamin Recht
Occupy the cloud: distributed computing for the 99%. SoCC (2017)
Shivaram Venkataraman, Aurojit Panda, Kay Ousterhout, Michael Armbrust, Ali Ghodsi, Michael J. Franklin, Benjamin Recht, Ion Stoica
Drizzle: Fast and Adaptable Stream Processing at Scale. SOSP (2017)
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht
The Marginal Value of Adaptive Gradient Methods in Machine Learning. CoRR (2017)

Benjamin Recht.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Benjamin Recht