Robustness of accelerated first-order algorithms for strongly convex optimization problems

27 May 2019

Papers citing "Robustness of accelerated first-order algorithms for strongly convex optimization problems"

6 / 6 papers shown

Title
Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms Hesameddin Mohammadi Meisam Razaviyayn Mihailo R. Jovanović 31 7 0 24 Sep 2022
Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation Xing-ming Guo Bin Hu 13 2 0 20 Apr 2022
Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods Xing-ming Guo Bin Hu OffRL 27 3 0 14 Feb 2022
BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning Avadesh Meduri Paarth Shah Julian Viereck Majid Khadiv Ioannis Havoutis Ludovic Righetti 33 73 0 19 Jan 2022
Differentially Private Accelerated Optimization Algorithms Nurdan Kuru cS. .Ilker Birbil Mert Gurbuzbalaban S. Yıldırım 25 23 0 05 Aug 2020
Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I Sandeep Kumar K. Rajawat Daniel P. Palomar 19 4 0 21 Jul 2019