Leveraging Non-uniformity in First-order Non-convex Optimization

13 May 2021

Papers citing "Leveraging Non-uniformity in First-order Non-convex Optimization"

7 / 7 papers shown

Title
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates Jincheng Mei Bo Dai Alekh Agarwal Sharan Vaswani Anant Raj Csaba Szepesvári Dale Schuurmans 87 0 0 11 Feb 2025
QuantFactor REINFORCE: Mining Steady Formulaic Alpha Factors with Variance-bounded REINFORCE Junjie Zhao Chengxi Zhang Min Qin Peng Yang OOD 31 3 0 08 Sep 2024
Directional Smoothness and Gradient Methods: Convergence and Adaptivity Aaron Mishkin Ahmed Khaled Yuanhao Wang Aaron Defazio Robert Mansel Gower 36 6 0 06 Mar 2024
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François Ged M. H. Veiga 21 0 0 22 Mar 2023
The Role of Baselines in Policy Gradient Optimization Jincheng Mei Wesley Chung Valentin Thomas Bo Dai Csaba Szepesvári Dale Schuurmans 24 15 0 16 Jan 2023
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent Satyen Kale Jason D. Lee Chris De Sa Ayush Sekhari Karthik Sridharan 21 4 0 13 Oct 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 130 1,198 0 16 Aug 2016