Recht, Benjamin

50 publications

ICML 2025 From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms Jessica Dai, Paula Gradu, Inioluwa Deborah Raji, Benjamin Recht

JMLR 2023 Interpolating Classifiers Make Few Mistakes Tengyuan Liang, Benjamin Recht

CVPR 2023 K-Planes: Explicit Radiance Fields in Space, Time, and Appearance Sara Fridovich-Keil, Giacomo Meanti, Frederik Rahbæk Warburg, Benjamin Recht, Angjoo Kanazawa

JMLR 2022 Active Learning for Nonlinear System Identification with Guarantees Horia Mania, Michael I. Jordan, Benjamin Recht

CVPR 2022 Plenoxels: Radiance Fields Without Neural Networks Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa

L4DC 2021 Certainty Equivalent Perception-Based Control Sarah Dean, Benjamin Recht

ICCV 2021 Do Image Classifiers Generalize Across Time? Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

NeurIPSW 2021 Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar

NeurIPSW 2021 Evaluating Machine Accuracy on ImageNet Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt

NeurIPSW 2021 Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt

L4DC 2021 Preface Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger

ICML 2021 Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability Mihaela Curmei, Sarah Dean, Benjamin Recht

ICML 2021 Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data Esther Rolf, Theodora T Worledge, Benjamin Recht, Michael Jordan

ICML 2020 Evaluating Machine Accuracy on ImageNet Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt

CoRL 2020 Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions Sarah Dean, Andrew Taylor, Ryan Cosner, Benjamin Recht, Aaron Ames

NeurIPS 2020 Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt

ICML 2020 Neural Kernels Without Tangents Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht

AISTATS 2020 Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information Esther Rolf, Michael I. Jordan, Benjamin Recht

L4DC 2020 Preface Alexandre M. Bayen, Ali Jadbabaie, George Pappas, Pablo A. Parrilo, Benjamin Recht, Claire Tomlin, Melanie Zeilinger

L4DC 2020 Robust Guarantees for Perception-Based Control Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye

ICML 2020 The Effect of Natural Distribution Shift on Question Answering Models John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt

NeurIPS 2019 A Meta-Analysis of Overfitting in Machine Learning Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

ICMLW 2019 A Systematic Framework for Natural Perturbations from Videos Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

NeurIPS 2019 Certainty Equivalence Is Efficient for Linear Quadratic Control Horia Mania, Stephen Tu, Benjamin Recht

ICML 2019 Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar

NeurIPS 2019 Finite-Time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator Karl Krauth, Stephen Tu, Benjamin Recht

COLT 2019 Learning Linear Dynamical Systems with Semi-Parametric Least Squares Max Simchowitz, Ross Boczar, Benjamin Recht

NeurIPS 2019 Model Similarity Mitigates Test Set Overuse Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht

COLT 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint Stephen Tu, Benjamin Recht

JMLR 2018 Gradient Descent Learns Linear Dynamical Systems Moritz Hardt, Tengyu Ma, Benjamin Recht

COLT 2018 Learning Without Mixing: Towards a Sharp Analysis of Linear System Identification Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht

ICML 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator Stephen Tu, Benjamin Recht

NeurIPS 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu

NeurIPS 2018 Simple Random Search of Static Linear Policies Is Competitive for Reinforcement Learning Horia Mania, Aurelia Guy, Benjamin Recht

ICML 2017 Breaking Locality Accelerates Block Gauss-Seidel Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson, Alex Gittens, Michael I. Jordan, Benjamin Recht

NeurIPS 2017 The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia C Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht

COLT 2017 The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime Max Simchowitz, Kevin Jamieson, Benjamin Recht

ICLR 2017 Understanding Deep Learning Requires Rethinking Generalization Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals

COLT 2016 Best-of-K-Bandits Max Simchowitz, Kevin G. Jamieson, Benjamin Recht

COLT 2016 Gradient Descent Only Converges to Minimizers Jason D. Lee, Max Simchowitz, Michael I. Jordan, Benjamin Recht

NeurIPS 2016 The Power of Adaptivity in Identifying Statistical Alternatives Kevin G. Jamieson, Daniel Haas, Benjamin Recht

NeurIPS 2015 Parallel Correlation Clustering on Big Graphs Xinghao Pan, Dimitris Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I Jordan

JMLR 2015 The Randomized Causation Coefficient David Lopez-Paz, Krikamol Muandet, Benjamin Recht

COLT 2012 Toward a Noncommutative Arithmetic-Geometric Mean Inequality: Conjectures, Case-Studies, and Consequences Benjamin Recht, Christopher Re

IJCAI 2011 A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic David Andrzejewski, Xiaojin Zhu, Mark Craven, Benjamin Recht

JMLR 2011 A Simpler Approach to Matrix Completion Benjamin Recht

NeurIPS 2011 Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Benjamin Recht, Christopher Re, Stephen Wright, Feng Niu

ICML 2009 Learning Kernels from Indefinite Similarities Yihua Chen, Maya R. Gupta, Benjamin Recht

NeurIPS 2008 Weighted Sums of Random Kitchen Sinks: Replacing Minimization with Randomization in Learning Ali Rahimi, Benjamin Recht

NeurIPS 2007 Random Features for Large-Scale Kernel Machines Ali Rahimi, Benjamin Recht