黑盒优化面临最大的问题就是“收敛性”问题,它是不依赖梯度的(Derivative Free Optimization Approach),只关心输入的动作和输出的奖励,如何保证收敛性?讨论收敛性问题显然超出了本文的讨论范畴,庆幸的是我们生活的宇宙恰好能够使这类算法几乎收敛,这种优化方法跟进化算法(EA)十分相似,而且 worksembarrassinglywell 。 OK,...
黑盒优化面临最大的问题就是“收敛性”问题,它是不依赖梯度的(Derivative Free Optimization Approach),只关心输入的动作和输出的奖励,如何保证收敛性?讨论收敛性问题显然超出了本文的讨论范畴,庆幸的是我们生活的宇宙恰好能够使这类算法几乎收敛,这种优化方法跟进化算法(EA)十分相似,而且 works embarrassingly well 。
【论文阅读】Black-Box Prompt Optimization: Aligning Large Language Models without Model Training 陈昊 金融业 算法工程师124 人赞同了该文章 (最近看到一篇文章,佩服得五体投地,单论做文章的本事,确实值得学习,一点发散,居然洋洋洒洒上万字) (文章链接 arxiv.org/pdf/2311.0415) (代码链接 github....
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search 发表时间:2020(NeurIPS 2020) 文章要点:我们知道贝叶斯优化做到高维的时候计算量很大,根本算不出来。这篇文章是把MCTS和贝叶斯优化结合起来,做高维的优化问题。主要思路是先用MCTS分割搜索空间,然后在子空间上再用贝叶斯优化去...
Black-box optimization using geodesics in statistical manifolds. arXiv :1309.7168v2, 2013.Bensadon, J. Black-box optimization using geodesics in statistical manifolds. Entropy 2015, 17, 304-345.J. Bensadon. Black-box optimization using geodesics in statistical manifolds. Entropy, 17(1):304-345...
This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual...
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning - Black-Box-Optimization-Coupling-Bias/BOCB
Black-box optimization (BBO) has become increasingly relevant for tackling complex decision-making problems, especially in public policy domains such as police redistricting. However, its broader application in public policymaking is hindered by the complexity of defining feasible regions and the high-...
Black-box expressions are defined using the C++ macrosILOBLACKBOXn, wherenis the number of arguments of the black-box: ILOBLACKBOXn(function_name, type_1, arg_1, type_2, arg_2, ..., type_n, arg_n) { CODE } For instance, the following example defines a very simple black-box expr...
Two blackbox optimization methods, i.e., Bayesian optimization and directional Gaussian smoothing methods, are employed to address the challenge that the gradient of the loss function is inaccessible during optimization. The results show that the single-beam analytical model has limitations in fitting ...