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ORCIDBenjamin Recht
Ben Recht
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- affiliation: California Institute of Technology, Center for the Mathematics of Information, Berkeley, CA, USA
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2020 – today
- 2023
[i91]Sara Fridovich-Keil, Giacomo Meanti, Frederik Warburg, Benjamin Recht, Angjoo Kanazawa:
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance. CoRR abs/2301.10241 (2023)- 2022
- [j30]Horia Mania, Michael I. Jordan, Benjamin Recht:
Active Learning for Nonlinear System Identification with Guarantees. J. Mach. Learn. Res. 23: 32:1-32:30 (2022) - [c90]Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa:
Plenoxels: Radiance Fields without Neural Networks. CVPR 2022: 5491-5500 - [c89]Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell:
Towards Psychologically-Grounded Dynamic Preference Models. RecSys 2022: 35-48 - [i90]Mihaela Curmei, Andreas A. Haupt, Dylan Hadfield-Menell, Benjamin Recht:
Towards Psychologically-Grounded Dynamic Preference Models. CoRR abs/2208.01534 (2022) - 2021
- [j29]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning (still) requires rethinking generalization. Commun. ACM 64(3): 107-115 (2021) - [j28]Ashia C. Wilson, Ben Recht, Michael I. Jordan:
A Lyapunov Analysis of Accelerated Methods in Optimization. J. Mach. Learn. Res. 22: 113:1-113:34 (2021) - [j27]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): 34-47 (2021) - [c88]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: 6469-6476 - [c87]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
Do Image Classifiers Generalize Across Time? ICCV 2021: 9641-9649 - [c86]Mihaela Curmei, Sarah Dean, Benjamin Recht:
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. ICML 2021: 2265-2275 - [c85]Esther Rolf, Theodora T. Worledge, Benjamin Recht, Michael I. Jordan:
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. ICML 2021: 9040-9051 - [c84]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Preface. L4DC 2021: 1-5 - [c83]Sarah Dean, Benjamin Recht:
Certainty Equivalent Perception-Based Control. L4DC 2021: 399-411 - [e2]Ali Jadbabaie, John Lygeros, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, L4DC 2021, 7-8 June 2021, Virtual Event, Switzerland. Proceedings of Machine Learning Research 144, PMLR 2021 [contents] - [i89]Tengyuan Liang, Benjamin Recht:
Interpolating Classifiers Make Few Mistakes. CoRR abs/2101.11815 (2021) - [i88]Moritz Hardt, Benjamin Recht:
Patterns, predictions, and actions: A story about machine learning. CoRR abs/2102.05242 (2021) - [i87]Esther Rolf, Theodora Worledge, Benjamin Recht, Michael I. Jordan:
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data. CoRR abs/2103.03399 (2021) - [i86]Mihaela Curmei, Sarah Dean, Benjamin Recht:
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability. CoRR abs/2107.00833 (2021) - [i85]Alex Yu, Sara Fridovich-Keil, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa:
Plenoxels: Radiance Fields without Neural Networks. CoRR abs/2112.05131 (2021) - 2020
- [j26]Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu:
On the Sample Complexity of the Linear Quadratic Regulator. Found. Comput. Math. 20(4): 633-679 (2020) - [c82]Esther Rolf, Michael I. Jordan, Benjamin Recht:
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. AISTATS 2020: 1759-1769 - [c81]Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman:
Serverless linear algebra. SoCC 2020: 281-295 - [c80]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: 654-670 - [c79]Sarah Dean, Sarah Rich, Benjamin Recht:
Recommendations and user agency: the reachability of collaboratively-filtered information. FAT* 2020: 436-445 - [c78]John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt:
The Effect of Natural Distribution Shift on Question Answering Models. ICML 2020: 6905-6916 - [c77]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht:
Neural Kernels Without Tangents. ICML 2020: 8614-8623 - [c76]Vaishaal Shankar, Rebecca Roelofs, Horia Mania, Alex Fang, Benjamin Recht, Ludwig Schmidt:
Evaluating Machine Accuracy on ImageNet. ICML 2020: 8634-8644 - [c75]Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye:
Robust Guarantees for Perception-Based Control. L4DC 2020: 350-360 - [c74]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 - [c73]Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt:
Measuring Robustness to Natural Distribution Shifts in Image Classification. NeurIPS 2020 - [e1]Alexandre M. Bayen, Ali Jadbabaie, George J. Pappas, Pablo A. Parrilo, Benjamin Recht, Claire J. Tomlin, Melanie N. Zeilinger:
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, L4DC 2020, Online Event, Berkeley, CA, USA, 11-12 June 2020. Proceedings of Machine Learning Research 120, PMLR 2020 [contents] - [i84]Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Ludwig Schmidt, Jonathan Ragan-Kelley, Benjamin Recht:
Neural Kernels Without Tangents. CoRR abs/2003.02237 (2020) - [i83]Esther Rolf, Michael I. Jordan, Benjamin Recht:
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. CoRR abs/2003.05955 (2020) - [i82]John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt:
The Effect of Natural Distribution Shift on Question Answering Models. CoRR abs/2004.14444 (2020) - [i81]Horia Mania, Michael I. Jordan, Benjamin Recht:
Active Learning for Nonlinear System Identification with Guarantees. CoRR abs/2006.10277 (2020) - [i80]Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt:
Measuring Robustness to Natural Distribution Shifts in Image Classification. CoRR abs/2007.00644 (2020) - [i79]Wenshuo Guo, Mihaela Curmei, Serena Wang, Benjamin Recht, Michael I. Jordan:
Finding Equilibrium in Multi-Agent Games with Payoff Uncertainty. CoRR abs/2007.05647 (2020) - [i78]Sarah Dean, Benjamin Recht:
Certainty Equivalent Perception-Based Control. CoRR abs/2008.12332 (2020) - [i77]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 abs/2010.08168 (2020) - [i76]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 abs/2010.16001 (2020) - [i75]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 abs/2011.07931 (2020) - [i74]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 abs/2011.10730 (2020)
2010 – 2019
- 2019
- [j25]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): 311-337 (2019) - [c72]Somayeh Sojoudi, Benjamin Recht, John C. Doyle:
Mathematical Models of Physiological Responses to Exercise. ACC 2019: 1525-1532 - [c71]Stephen Tu, Ross Boczar, Benjamin Recht:
Minimax Lower Bounds for H∞-Norm Estimation. ACC 2019: 3538-3543 - [c70]Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht:
Safely Learning to Control the Constrained Linear Quadratic Regulator. ACC 2019: 5582-5588 - [c69]Max Simchowitz, Ross Boczar, Benjamin Recht:
Learning Linear Dynamical Systems with Semi-Parametric Least Squares. COLT 2019: 2714-2802 - [c68]Stephen Tu, Benjamin Recht:
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint. COLT 2019: 3036-3083 - [c67]Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do ImageNet Classifiers Generalize to ImageNet? ICML 2019: 5389-5400 - [c66]Karl Krauth, Stephen Tu, Benjamin Recht:
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator. NeurIPS 2019: 8512-8522 - [c65]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: 9175-9185 - [c64]Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht:
Model Similarity Mitigates Test Set Overuse. NeurIPS 2019: 9993-10002 - [c63]Horia Mania, Stephen Tu, Benjamin Recht:
Certainty Equivalence is Efficient for Linear Quadratic Control. NeurIPS 2019: 10154-10164 - [i73]Max Simchowitz, Ross Boczar, Benjamin Recht:
Learning Linear Dynamical Systems with Semi-Parametric Least Squares. CoRR abs/1902.00768 (2019) - [i72]Horia Mania, Stephen Tu, Benjamin Recht:
Certainty Equivalent Control of LQR is Efficient. CoRR abs/1902.07826 (2019) - [i71]Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do ImageNet Classifiers Generalize to ImageNet? CoRR abs/1902.10811 (2019) - [i70]Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht:
Model Similarity Mitigates Test Set Overuse. CoRR abs/1905.12580 (2019) - [i69]Karl Krauth, Stephen Tu, Benjamin Recht:
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator. CoRR abs/1905.12842 (2019) - [i68]Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt:
A systematic framework for natural perturbations from videos. CoRR abs/1906.02168 (2019) - [i67]Sarah Dean, Nikolai Matni, Benjamin Recht, Vickie Ye:
Robust Guarantees for Perception-Based Control. CoRR abs/1907.03680 (2019) - [i66]Sarah Dean, Sarah Rich, Benjamin Recht:
Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information. CoRR abs/1912.10068 (2019) - 2018
- [j24]Moritz Hardt, Tengyu Ma, Benjamin Recht:
Gradient Descent Learns Linear Dynamical Systems. J. Mach. Learn. Res. 19: 29:1-29:44 (2018) - [j23]Samet Oymak, Benjamin Recht, Mahdi Soltanolkotabi:
Sharp Time-Data Tradeoffs for Linear Inverse Problems. IEEE Trans. Inf. Theory 64(6): 4129-4158 (2018) - [c62]Stephen Tu, Ross Boczar, Benjamin Recht:
On the Approximation of Toeplitz Operators for Nonparametric H∞-norm Estimation. ACC 2018: 1867-1872 - [c61]Ross Boczar, Nikolai Matni, Benjamin Recht:
Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System. CDC 2018: 2994-2999 - [c60]Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht:
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification. COLT 2018: 439-473 - [c59]Stephen Tu, Benjamin Recht:
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator. ICML 2018: 5012-5021 - [c58]Horia Mania, Aurelia Guy, Benjamin Recht:
Simple random search of static linear policies is competitive for reinforcement learning. NeurIPS 2018: 1805-1814 - [c57]Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu:
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. NeurIPS 2018: 4192-4201 - [c56]Max Simchowitz, Ahmed El Alaoui, Benjamin Recht:
Tight query complexity lower bounds for PCA via finite sample deformed wigner law. STOC 2018: 1249-1259 - [i65]Max Simchowitz, Horia Mania, Stephen Tu, Michael I. Jordan, Benjamin Recht:
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification. CoRR abs/1802.08334 (2018) - [i64]Horia Mania, Aurelia Guy, Benjamin Recht:
Simple random search provides a competitive approach to reinforcement learning. CoRR abs/1803.07055 (2018) - [i63]Ross Boczar, Nikolai Matni, Benjamin Recht:
Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System. CoRR abs/1803.09186 (2018) - [i62]Max Simchowitz, Ahmed El Alaoui, Benjamin Recht:
Tight Query Complexity Lower Bounds for PCA via Finite Sample Deformed Wigner Law. CoRR abs/1804.01221 (2018) - [i61]Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu:
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator. CoRR abs/1805.09388 (2018) - [i60]Benjamin Recht, Rebecca Roelofs, Ludwig Schmidt, Vaishaal Shankar:
Do CIFAR-10 Classifiers Generalize to CIFAR-10? CoRR abs/1806.00451 (2018) - [i59]Benjamin Recht:
A Tour of Reinforcement Learning: The View from Continuous Control. CoRR abs/1806.09460 (2018) - [i58]Sarah Dean, Stephen Tu, Nikolai Matni, Benjamin Recht:
Safely Learning to Control the Constrained Linear Quadratic Regulator. CoRR abs/1809.10121 (2018) - [i57]Esther Rolf, David Fridovich-Keil, Max Simchowitz, Benjamin Recht, Claire J. Tomlin:
A Successive-Elimination Approach to Adaptive Robotic Sensing. CoRR abs/1809.10611 (2018) - [i56]Stephen Tu, Ross Boczar, Benjamin Recht:
Minimax Lower Bounds for ℋ∞-Norm Estimation. CoRR abs/1809.10855 (2018) - [i55]Liam Li, Kevin G. Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar:
Massively Parallel Hyperparameter Tuning. CoRR abs/1810.05934 (2018) - [i54]Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley:
numpywren: serverless linear algebra. CoRR abs/1810.09679 (2018) - [i53]Stephen Tu, Benjamin Recht:
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint. CoRR abs/1812.03565 (2018) - 2017
- [j22]Nicholas Boyd, Trevor Hastie, Stephen P. Boyd, Benjamin Recht, Michael I. Jordan:
Saturating Splines and Feature Selection. J. Mach. Learn. Res. 18: 197:1-197:32 (2017) - [j21]Nicholas Boyd, Geoffrey Schiebinger, Benjamin Recht:
The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems. SIAM J. Optim. 27(2): 616-639 (2017) - [j20]Horia Mania, Xinghao Pan, Dimitris S. Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan:
Perturbed Iterate Analysis for Asynchronous Stochastic Optimization. SIAM J. Optim. 27(4): 2202-2229 (2017) - [c55]Eric Jonas, Qifan Pu, Shivaram Venkataraman, Ion Stoica, Benjamin Recht:
Occupy the cloud: distributed computing for the 99%. SoCC 2017: 445-451 - [c54]Max Simchowitz, Kevin G. Jamieson, Benjamin Recht:
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime. COLT 2017: 1794-1834 - [c53]Orianna Demasi, Benjamin Recht:
A step towards quantifying when an algorithm can and cannot predict an individual's wellbeing. UbiComp/ISWC Adjunct 2017: 763-771 - [c52]Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht:
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. ICDE 2017: 535-546 - [c51]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning requires rethinking generalization. ICLR 2017 - [c50]Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson, Alex Gittens, Michael I. Jordan, Benjamin Recht:
Breaking Locality Accelerates Block Gauss-Seidel. ICML 2017: 3482-3491 - [c49]Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht:
The Marginal Value of Adaptive Gradient Methods in Machine Learning. NIPS 2017: 4148-4158 - [c48]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: 374-389 - [i52]Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht:
Occupy the Cloud: Distributed Computing for the 99%. CoRR abs/1702.04024 (2017) - [i51]Max Simchowitz, Kevin G. Jamieson, Benjamin Recht:
The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime. CoRR abs/1702.05186 (2017) - [i50]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 abs/1704.04548 (2017) - [i49]Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht:
The Marginal Value of Adaptive Gradient Methods in Machine Learning. CoRR abs/1705.08292 (2017) - [i48]Ross Boczar, Laurent Lessard, Andrew K. Packard, Benjamin Recht:
Exponential Stability Analysis via Integral Quadratic Constraints. CoRR abs/1706.01337 (2017) - [i47]Stephen Tu, Ross Boczar, Andrew K. Packard, Benjamin Recht:
Non-Asymptotic Analysis of Robust Control from Coarse-Grained Identification. CoRR abs/1707.04791 (2017) - [i46]Orianna Demasi, Konrad P. Körding, Benjamin Recht:
Meaningless comparisons lead to false optimism in medical machine learning. CoRR abs/1707.06289 (2017) - [i45]Eric Jonas, Monica G. Bobra, Vaishaal Shankar, J. Todd Hoeksema, Benjamin Recht:
Flare Prediction Using Photospheric and Coronal Image Data. CoRR abs/1708.01323 (2017) - [i44]Stephen Tu, Ross Boczar, Benjamin Recht:
On the Approximation of Toeplitz Operators for Nonparametric $\mathcal{H}_\infty$-norm Estimation. CoRR abs/1709.10203 (2017) - [i43]Sarah Dean, Horia Mania, Nikolai Matni, Benjamin Recht, Stephen Tu:
On the Sample Complexity of the Linear Quadratic Regulator. CoRR abs/1710.01688 (2017) - [i42]Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht:
First-order Methods Almost Always Avoid Saddle Points. CoRR abs/1710.07406 (2017) - [i41]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 abs/1710.09342 (2017) - [i40]Orianna Demasi, Benjamin Recht:
An example of how false conclusions could be made with personalized health tracking and suggestions for avoiding similar situations. CoRR abs/1711.05635 (2017) - [i39]Stephen Tu, Benjamin Recht:
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator. CoRR abs/1712.08642 (2017) - 2016
- [j19]Laurent Lessard, Benjamin Recht, Andrew K. Packard:
Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints. SIAM J. Optim. 26(1): 57-95 (2016) - [c47]Jason D. Lee, Max Simchowitz, Michael I. Jordan, Benjamin Recht:
Gradient Descent Only Converges to Minimizers. COLT 2016: 1246-1257 - [c46]Max Simchowitz, Kevin G. Jamieson, Benjamin Recht:
Best-of-K-bandits. COLT 2016: 1440-1489 - [c45]Stephen Tu, Ross Boczar, Max Simchowitz, Mahdi Soltanolkotabi, Ben Recht:
Low-rank Solutions of Linear Matrix Equations via Procrustes Flow. ICML 2016: 964-973 - [c44]Moritz Hardt, Ben Recht, Yoram Singer:
Train faster, generalize better: Stability of stochastic gradient descent. ICML 2016: 1225-1234 - [c43]Kevin G. Jamieson, Daniel Haas, Benjamin Recht:
The Power of Adaptivity in Identifying Statistical Alternatives. NIPS 2016: 775-783 - [c42]Shivaram Venkataraman, Zongheng Yang, Michael J. Franklin, Benjamin Recht, Ion Stoica:
Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics. NSDI 2016: 363-378 - [c41]Orianna Demasi, Adrián Aguilera, Benjamin Recht:
Detecting change in depressive symptoms from daily wellbeing questions, personality, and activity. Wireless Health 2016: 22-29 - [i38]Jason D. Lee, Max Simchowitz, Michael I. Jordan, Benjamin Recht:
Gradient Descent Converges to Minimizers. CoRR abs/1602.04915 (2016) - [i37]Stephen Tu, Rebecca Roelofs, Shivaram Venkataraman, Benjamin Recht:
Large Scale Kernel Learning using Block Coordinate Descent. CoRR abs/1602.05310 (2016) - [i36]Max Simchowitz, Kevin G. Jamieson, Benjamin Recht:
Best-of-K Bandits. CoRR abs/1603.02752 (2016) - [i35]Horia Mania, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan, Benjamin Recht:
Universality of Mallows' and degeneracy of Kendall's kernels for rankings. CoRR abs/1603.08035 (2016) - [i34]Kevin G. Jamieson, Daniel Haas, Benjamin Recht:
On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem. CoRR abs/1603.08037 (2016) - [i33]Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris S. Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré, Benjamin Recht:
CYCLADES: Conflict-free Asynchronous Machine Learning. CoRR abs/1605.09721 (2016) - [i32]Moritz Hardt, Tengyu Ma, Benjamin Recht:
Gradient Descent Learns Linear Dynamical Systems. CoRR abs/1609.05191 (2016) - [i31]Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht:
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. CoRR abs/1610.09451 (2016) - [i30]Ashia C. Wilson, Benjamin Recht, Michael I. Jordan:
A Lyapunov Analysis of Momentum Methods in Optimization. CoRR abs/1611.02635 (2016) - [i29]Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals:
Understanding deep learning requires rethinking generalization. CoRR abs/1611.03530 (2016) - 2015
- [j18]David Lopez-Paz, Krikamol Muandet, Benjamin Recht:
The Randomized Causation Coefficient.