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Certainty Equivalent Perception-Based Control

Aug 27, 2020
Sarah Dean, Benjamin Recht


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Measuring Robustness to Natural Distribution Shifts in Image Classification

Jul 01, 2020
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt


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Active Learning for Nonlinear System Identification with Guarantees

Jun 18, 2020
Horia Mania, Michael I. Jordan, Benjamin Recht

* 29 pages 

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The Effect of Natural Distribution Shift on Question Answering Models

Apr 29, 2020
John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt


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Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information

Mar 12, 2020
Esther Rolf, Michael I. Jordan, Benjamin Recht

* To appear in AISTATS 2020 

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Neural Kernels Without Tangents

Mar 05, 2020
Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht

* code used to produce our results can be found at: https://github.com/modestyachts/neural_kernels_code 

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Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information

Dec 20, 2019
Sarah Dean, Sarah Rich, Benjamin Recht

* to appear at FAT* '20 

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Robust Guarantees for Perception-Based Control

Jul 08, 2019
Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye


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A systematic framework for natural perturbations from videos

Jun 05, 2019
Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt

* 16 pages, 5 tables, 6 figures. Paper Website: https://modestyachts.github.io/natural-perturbations-website/ 

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Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator

May 30, 2019
Karl Krauth, Stephen Tu, Benjamin Recht


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Model Similarity Mitigates Test Set Overuse

May 29, 2019
Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht

* 18 pages, 7 figures 

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Certainty Equivalent Control of LQR is Efficient

Feb 21, 2019
Horia Mania, Stephen Tu, Benjamin Recht

* 21 pages 

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Do ImageNet Classifiers Generalize to ImageNet?

Feb 13, 2019
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar


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Learning Linear Dynamical Systems with Semi-Parametric Least Squares

Feb 02, 2019
Max Simchowitz, Ross Boczar, Benjamin Recht


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The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint

Dec 09, 2018
Stephen Tu, Benjamin Recht


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Massively Parallel Hyperparameter Tuning

Oct 17, 2018
Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar

* Corrected typo in Algorithm 1 

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Minimax Lower Bounds for $\mathcal{H}_\infty$-Norm Estimation

Sep 28, 2018
Stephen Tu, Ross Boczar, Benjamin Recht


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A Successive-Elimination Approach to Adaptive Robotic Sensing

Sep 27, 2018
Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire Tomlin


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Safely Learning to Control the Constrained Linear Quadratic Regulator

Sep 26, 2018
Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht


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A Tour of Reinforcement Learning: The View from Continuous Control

Jun 25, 2018
Benjamin Recht


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Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Jun 01, 2018
Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar


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Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification

May 24, 2018
Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht


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Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator

May 23, 2018
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu


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The Marginal Value of Adaptive Gradient Methods in Machine Learning

May 22, 2018
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht


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Tight Query Complexity Lower Bounds for PCA via Finite Sample Deformed Wigner Law

Apr 04, 2018
Max Simchowitz, Ahmed El Alaoui, Benjamin Recht

* To appear in STOC 2018 

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Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System

Mar 25, 2018
Ross Boczar, Nikolai Matni, Benjamin Recht


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Simple random search provides a competitive approach to reinforcement learning

Mar 19, 2018
Horia Mania, Aurelia Guy, Benjamin Recht

* 22 pages, 5 figures, 9 tables 

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On the Sample Complexity of the Linear Quadratic Regulator

Jan 25, 2018
Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu

* Contains a new convex relaxation for the main optimization problem that is computationally inexpensive and performs well in simulation. The new relaxation uses a common Lyapunov function formulation for the mixed H2/H-infinity synthesis problem. We added new section on computational methods and new numerical experiments incorporating this technique. We also corrected typos and added references 

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Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator

Dec 22, 2017
Stephen Tu, Benjamin Recht


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