Smoothed Online Optimization for Regression and Control

Smoothed Online Optimization for Regression and Control

23 October 2018

Adam Wierman

Papers citing "Smoothed Online Optimization for Regression and Control"

12 / 12 papers shown

Title
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic 21 12 0 14 Oct 2022
Optimal Dynamic Regret in LQR Control Dheeraj Baby Yu Wang 29 16 0 18 Jun 2022
Optimal Competitive-Ratio Control Oron Sabag Sahin Lale B. Hassibi 33 12 0 03 Jun 2022
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor Lijun Zhang Wei Jiang Jinfeng Yi Tianbao Yang 39 6 0 02 May 2022
Efficient Online Linear Control with Stochastic Convex Costs and Unknown Dynamics Asaf B. Cassel Alon Cohen Google Research 23 5 0 02 Mar 2022
Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond Dheeraj Baby Yu Wang 42 26 0 21 Jan 2022
Online Learning for Predictive Control with Provable Regret Guarantees Deepan Muthirayan Jianjun Yuan D. Kalathil Pramod P. Khargonekar 24 4 0 30 Nov 2021
Online Optimization with Feedback Delay and Nonlinear Switching Cost Weici Pan Guanya Shi Yiheng Lin Adam Wierman 21 11 0 29 Oct 2021
Regret-optimal Estimation and Control Gautam Goel B. Hassibi 41 33 0 22 Jun 2021
Non-stationary Online Learning with Memory and Non-stochastic Control Peng Zhao Yu-Hu Yan Yu Wang Zhi-Hua Zhou 45 47 0 07 Feb 2021
Regret-optimal measurement-feedback control Gautam Goel B. Hassibi 20 25 0 24 Nov 2020
Gradient-Variation Bound for Online Convex Optimization with Constraints Shuang Qiu Xiaohan Wei Mladen Kolar 46 1 0 22 Jun 2020