NIPS Proceedings
^{β}
Books
Benjamin Recht
12 Papers
A Meta-Analysis of Overfitting in Machine Learning
(2019)
Certainty Equivalence is Efficient for Linear Quadratic Control
(2019)
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
(2019)
Model Similarity Mitigates Test Set Overuse
(2019)
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
(2018)
Simple random search of static linear policies is competitive for reinforcement learning
(2018)
The Marginal Value of Adaptive Gradient Methods in Machine Learning
(2017)
The Power of Adaptivity in Identifying Statistical Alternatives
(2016)
Parallel Correlation Clustering on Big Graphs
(2015)
Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
(2011)
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
(2008)
Random Features for Large-Scale Kernel Machines
(2007)