NIPS Proceedingsβ

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)