ZOOpt: Toolbox for Derivative-Free Optimization

31 December 2017

Papers citing "ZOOpt: Toolbox for Derivative-Free Optimization"

9 / 9 papers shown

Title
A Smooth Transition Between Induction and Deduction: Fast Abductive Learning Based on Probabilistic Symbol Perception Lin Jia Si-Yu Han Lan-Zhe Guo Zhi Zhou Zhao-Long Li Yu-Feng Li Zhi-Hua Zhou 52 1 0 18 Feb 2025
Maximum Ideal Likelihood Estimator: An New Estimation and Inference Framework for Latent Variable Models Yizhou Cai Ting Fung Ma 29 0 0 02 Oct 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei K. Ramamurthy FAtt 40 2 0 17 Feb 2024
A systematic study comparing hyperparameter optimization engines on tabular data Balazs Kegl 23 1 0 27 Nov 2023
OpenBox: A Python Toolkit for Generalized Black-box Optimization Huaijun Jiang Yu Shen Yang Li Beicheng Xu Sixian Du Wentao Zhang Ce Zhang Bin Cui 38 4 0 26 Apr 2023
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 29 81 0 07 Jun 2022
Black-Box Tuning for Language-Model-as-a-Service Tianxiang Sun Yunfan Shao Hong Qian Xuanjing Huang Xipeng Qiu VLM 50 256 0 10 Jan 2022
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects Zewen Li Wenjie Yang Shouheng Peng Fan Liu HAI 3DV 54 2,600 0 01 Apr 2020
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues Kaifeng Gao Gang Mei F. Piccialli S. Cuomo Jingzhi Tu Zenan Huo 23 55 0 23 Mar 2020