Benjamin Recht

From Individual Experience to Collective Evidence: A Reporting-Based Framework for Identifying Systemic Harms ICML 2025 Interpolating Classifiers Make Few Mistakes JMLR 2023 K-Planes: Explicit Radiance Fields in Space, Time, and Appearance CVPR 2023 Active Learning for Nonlinear System Identification with Guarantees JMLR 2022 Plenoxels: Radiance Fields Without Neural Networks CVPR 2022 Certainty Equivalent Perception-Based Control L4DC 2021 Do Image Classifiers Generalize Across Time? ICCV 2021 Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021 Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data ICML 2021 Evaluating Machine Accuracy on ImageNet ICML 2020 Guaranteeing Safety of Learned Perception Modules via Measurement-Robust Control Barrier Functions CoRL 2020 Measuring Robustness to Natural Distribution Shifts in Image Classification NeurIPS 2020 Neural Kernels Without Tangents ICML 2020 Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information AISTATS 2020 Robust Guarantees for Perception-Based Control L4DC 2020 The Effect of Natural Distribution Shift on Question Answering Models ICML 2020 A Meta-Analysis of Overfitting in Machine Learning NeurIPS 2019 Certainty Equivalence is Efficient for Linear Quadratic Control NeurIPS 2019 Do ImageNet Classifiers Generalize to ImageNet? ICML 2019 Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NeurIPS 2019 Learning Linear Dynamical Systems with Semi-Parametric Least Squares COLT 2019 Model Similarity Mitigates Test Set Overuse NeurIPS 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 Towards augmenting crisis counselor training by improving message retrieval NAACL 2019 Gradient Descent Learns Linear Dynamical Systems JMLR 2018 Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification COLT 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Saturating Splines and Feature Selection JMLR 2018 Simple random search of static linear policies is competitive for reinforcement learning NeurIPS 2018 Breaking Locality Accelerates Block Gauss-Seidel ICML 2017 The Marginal Value of Adaptive Gradient Methods in Machine Learning NeurIPS 2017 The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime COLT 2017 Best-of-K-bandits COLT 2016 Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics NSDI 2016 Gradient Descent Only Converges to Minimizers COLT 2016 The Power of Adaptivity in Identifying Statistical Alternatives NeurIPS 2016 Parallel Correlation Clustering on Big Graphs NeurIPS 2015 The Randomized Causation Coefficient JMLR 2015 Toward a Noncommutative Arithmetic-geometric Mean Inequality: Conjectures, Case-studies, and Consequences COLT 2012 A Simpler Approach to Matrix Completion JMLR 2011 Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent NeurIPS 2011 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 Random Features for Large-Scale Kernel Machines NeurIPS 2007