Learning to Learn by Zeroth-Order Oracle

Learning to Learn by Zeroth-Order Oracle

21 October 2019

Sashank J. Reddi

Sanjiv Kumar

Papers citing "Learning to Learn by Zeroth-Order Oracle"

10 / 10 papers shown

Title
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing Alireza Aghasi Saeed Ghadimi 38 2 0 29 Mar 2024
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Yong Liu Zirui Zhu Chaoyu Gong Minhao Cheng Cho-Jui Hsieh Yang You MoE 45 16 0 24 Feb 2024
The limitation of neural nets for approximation and optimization Tommaso Giovannelli Oumaima Sohab Luis Nunes Vicente 6 1 0 21 Nov 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 34 5 0 12 Dec 2022
Lazy Queries Can Reduce Variance in Zeroth-order Optimization Quan-Wu Xiao Qing Ling Tianyi Chen 41 0 0 14 Jun 2022
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 26 14 0 02 Nov 2021
Learning Sampling Policy for Faster Derivative Free Optimization Zhou Zhai Bin Gu Heng-Chiao Huang 15 1 0 09 Apr 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 54 225 0 23 Mar 2021
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 24 224 0 11 Jun 2020
Improved Adversarial Training via Learned Optimizer Yuanhao Xiong Cho-Jui Hsieh AAML 25 30 0 25 Apr 2020