Sample Complexity Bounds for Score-Matching: Causal Discovery and
Generative Modeling

Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling

27 October 2023

Francesco Locatello

Papers citing "Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling"

7 / 7 papers shown

Title
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 61 3 0 03 Sep 2024
Score matching through the roof: linear, nonlinear, and latent variables causal discovery Francesco Montagna P. M. Faller Patrick Bloebaum Elke Kirschbaum Francesco Locatello CML 87 0 0 26 Jul 2024
Scalable Causal Discovery with Score Matching Francesco Montagna Nicoletta Noceti Lorenzo Rosasco Kun Zhang Francesco Locatello CML 50 25 0 06 Apr 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 28 11 0 07 Nov 2022
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 184 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 128 246 0 22 Sep 2022
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos V. Cevher 37 19 0 15 Sep 2022