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Generalizing Gaussian Smoothing for Random Search

Generalizing Gaussian Smoothing for Random Search

International Conference on Machine Learning (ICML), 2022
27 November 2022
Katelyn Gao
Ozan Sener
ArXiv (abs)PDFHTML

Papers citing "Generalizing Gaussian Smoothing for Random Search"

13 / 13 papers shown
Power Homotopy for Zeroth-Order Non-Convex Optimizations
Power Homotopy for Zeroth-Order Non-Convex Optimizations
Chen Xu
97
1
0
17 Nov 2025
Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations
Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations
Zhendong Mi
Qitao Tan
Grace Li Zhang
Zhaozhuo Xu
Geng Yuan
Shaoyi Huang
166
1
0
21 Oct 2025
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
Kairun Zhang
Xue Yang
Yanjun Zhao
Yifan Sun
Huan Zhang
193
0
0
01 Oct 2025
Efficient On-Policy Reinforcement Learning via Exploration of Sparse Parameter Space
Efficient On-Policy Reinforcement Learning via Exploration of Sparse Parameter Space
Xinyu Zhang
Aishik Deb
Klaus Mueller
130
0
0
30 Sep 2025
Poor Man's Training on MCUs: A Memory-Efficient Quantized
  Back-Propagation-Free Approach
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach
Yequan Zhao
Hai Li
Ian Young
Zheng Zhang
MQ
432
4
0
07 Nov 2024
Sharpness-Aware Black-Box Optimization
Sharpness-Aware Black-Box Optimization
Feiyang Ye
Yueming Lyu
Xuehao Wang
Masashi Sugiyama
Yu Zhang
Ivor W. Tsang
AAML
506
5
0
16 Oct 2024
A Historical Trajectory Assisted Optimization Method for Zeroth-Order
  Federated Learning
A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
Chenlin Wu
Xiaoyu He
Zike Li
Zibin Zheng
Zibin Zheng
FedML
488
0
0
24 Sep 2024
Stochastic Two Points Method for Deep Model Zeroth-order Optimization
Stochastic Two Points Method for Deep Model Zeroth-order Optimization
Yijiang Pang
Jiayu Zhou
468
2
0
02 Feb 2024
Dealing with Structure Constraints in Evolutionary Pareto Set Learning
Dealing with Structure Constraints in Evolutionary Pareto Set LearningIEEE Transactions on Evolutionary Computation (IEEE TEVC), 2023
Xi Lin
Xiao-Yan Zhang
Zhiyuan Yang
Qingfu Zhang
543
4
0
31 Oct 2023
Continuation Path Learning for Homotopy Optimization
Continuation Path Learning for Homotopy OptimizationInternational Conference on Machine Learning (ICML), 2023
Xi Lin
Zhiyuan Yang
Xiao-Yan Zhang
Qingfu Zhang
357
18
0
24 Jul 2023
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution
  Strategies
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution StrategiesNeural Information Processing Systems (NeurIPS), 2023
Oscar Li
James Harrison
Jascha Narain Sohl-Dickstein
Virginia Smith
Luke Metz
297
8
0
21 Apr 2023
PyPop7: A Pure-Python Library for Population-Based Black-Box
  Optimization
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
425
8
0
12 Dec 2022
An Empirical Evaluation of Zeroth-Order Optimization Methods on
  AI-driven Molecule Optimization
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization
Elvin Lo
Pin-Yu Chen
162
0
0
27 Oct 2022
1
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