Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm

20 March 2017

Papers citing "Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm"

4 / 4 papers shown

Title
High Probability Complexity Bounds of Trust-Region Stochastic Sequential Quadratic Programming with Heavy-Tailed Noise Yuchen Fang Javad Lavaei Katya Scheinberg 39 0 0 24 Mar 2025
Adaptive Optimization for Prediction with Missing Data Dimitris Bertsimas A. Delarue J. Pauphilet 37 1 0 02 Feb 2024
Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems C. Cartis T. Ferguson Lindon Roberts 26 6 0 26 Jul 2020
Provably Robust Blackbox Optimization for Reinforcement Learning K. Choromanski Aldo Pacchiano Jack Parker-Holder Yunhao Tang Deepali Jain Yuxiang Yang Atil Iscen Jasmine Hsu Vikas Sindhwani 13 5 0 07 Mar 2019