Gradient Estimators for Implicit Models

19 May 2017

Papers citing "Gradient Estimators for Implicit Models"

26 / 26 papers shown

Title
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Training Neural Samplers with Reverse Diffusive KL Divergence Jiajun He Wenlin Chen Mingtian Zhang David Barber José Miguel Hernández-Lobato DiffM 32 4 0 16 Oct 2024
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Mingming Gong Yi-An Ma Biwei Huang 30 1 0 08 Oct 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
A Generic Approach for Enhancing GANs by Regularized Latent Optimization Yufan Zhou Chunyuan Li Changyou Chen Jinhui Xu 27 0 0 07 Dec 2021
Bounds all around: training energy-based models with bidirectional bounds Cong Geng Jia Wang Zhiyong Gao J. Frellsen Søren Hauberg 22 15 0 01 Nov 2021
Stein Variational Gradient Descent with Multiple Kernel Qingzhong Ai Shiyu Liu Lirong He Zenglin Xu 9 4 0 20 Jul 2021
Repulsive Deep Ensembles are Bayesian Francesco DÁngelo Vincent Fortuin UQCV BDL 41 93 0 22 Jun 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 54 0 01 Mar 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 83 6 0 15 Jan 2021
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 13 34 0 23 Aug 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 20 53 0 07 Jul 2020
Nonparametric Score Estimators Yuhao Zhou Jiaxin Shi Jun Zhu 22 23 0 20 May 2020
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff Qinxun Bai Fuxin Li W. Xu 9 12 0 19 Nov 2019
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 19 90 0 19 Jun 2019
Maximum Mean Discrepancy Gradient Flow Michael Arbel Anna Korba Adil Salim A. Gretton 13 158 0 11 Jun 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 8 396 0 17 May 2019
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine Brian Coyle Daniel Mills V. Danos E. Kashefi 13 155 0 03 Apr 2019
Meta-Learning for Stochastic Gradient MCMC Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato BDL 16 44 0 12 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 9 90 0 07 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 27 119 0 28 May 2018
Fisher Efficient Inference of Intractable Models Song Liu Takafumi Kanamori Wittawat Jitkrittum Yu Chen 21 14 0 18 May 2018
Policy Optimization with Second-Order Advantage Information Jiajin Li Baoxiang Wang 17 6 0 09 May 2018
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 101 324 0 09 Feb 2016
MCMC using Hamiltonian dynamics Radford M. Neal 176 3,260 0 09 Jun 2012