Generalizing Gaussian Smoothing for Random Search

27 November 2022

Papers citing "Generalizing Gaussian Smoothing for Random Search"

11 / 11 papers shown

Title
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng-Wei Zhang MQ 24 2 0 07 Nov 2024
Sharpness-Aware Black-Box Optimization Feiyang Ye Yueming Lyu Xuehao Wang Masashi Sugiyama Yu-Jie Zhang Ivor W. Tsang AAML 42 0 0 16 Oct 2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning Chenlin Wu Xiaoyu He Zike Li Zibin Zheng Zibin Zheng FedML 24 0 0 24 Sep 2024
Stochastic Two Points Method for Deep Model Zeroth-order Optimization Yijiang Pang Jiayu Zhou 16 0 0 02 Feb 2024
Dealing with Structure Constraints in Evolutionary Pareto Set Learning Xi Lin Xiao-Yan Zhang Zhiyuan Yang Qingfu Zhang 20 0 0 31 Oct 2023
Continuation Path Learning for Homotopy Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 10 8 0 24 Jul 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies Oscar Li James Harrison Jascha Narain Sohl-Dickstein Virginia Smith Luke Metz 36 5 0 21 Apr 2023
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Qiqi Duan Guochen Zhou Chang Shao Zhuowei Wang Mingyang Feng Yuwei Huang Yajing Tan Yijun Yang Qi Zhao Yuhui Shi 23 5 0 12 Dec 2022
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization Elvin Lo Pin-Yu Chen 8 0 0 27 Oct 2022
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles Xiaowei Hu A. PrashanthL. András Gyorgy Csaba Szepesvári 76 65 0 22 Sep 2016