v1v2 (latest)

Neural Variational Inference and Learning in Undirected Graphical Models

7 November 2017

Papers citing "Neural Variational Inference and Learning in Undirected Graphical Models"

21 / 21 papers shown

Title
Perturb-and-max-product: Sampling and learning in discrete energy-based models Miguel Lazaro-Gredilla Antoine Dedieu Dileep George 69 9 0 03 Nov 2021
Mixture weights optimisation for Alpha-Divergence Variational Inference Kamélia Daudel Randal Douc 84 9 0 09 Jun 2021
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization Tomas Geffner Justin Domke 63 9 0 13 May 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 132 30 0 18 Jan 2021
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration H. Dai Rishabh Singh Bo Dai Charles Sutton Dale Schuurmans 93 30 0 10 Nov 2020
Probabilistic Circuits for Variational Inference in Discrete Graphical Models Andy Shih Stefano Ermon TPM 65 22 0 22 Oct 2020
On the Difficulty of Unbiased Alpha Divergence Minimization Tomas Geffner Justin Domke 111 18 0 19 Oct 2020
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models Fan Bao Kun Xu Chongxuan Li Lanqing Hong Jun Zhu Bo Zhang DiffM 67 9 0 16 Oct 2020
Bi-level Score Matching for Learning Energy-based Latent Variable Models Fan Bao Chongxuan Li Kun Xu Hang Su Jun Zhu Bo Zhang 83 14 0 15 Oct 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models Adarsh K. Jeewajee L. Kaelbling BDL 60 1 0 09 Jul 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 104 55 0 07 Jul 2020
Region-based Energy Neural Network for Approximate Inference Dong Liu Ragnar Thobaben L. Rasmussen BDL 36 2 0 17 Jun 2020
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables Miguel Lázaro-Gredilla Wolfgang Lehrach Nishad Gothoskar Guangyao Zhou Antoine Dedieu Dileep George TPM 57 1 0 11 Jun 2020
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 47 2 0 09 Dec 2019
Learning undirected models via query training Miguel Lazaro-Gredilla Wolfgang Lehrach Dileep George CML BDL FedML 44 1 0 05 Dec 2019
Amortized Bethe Free Energy Minimization for Learning MRFs Sam Wiseman Yoon Kim TPM DRL 51 11 0 14 Jun 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 79 29 0 08 May 2019
Autoregressive Energy Machines C. Nash Conor Durkan 78 55 0 11 Apr 2019
To Relieve Your Headache of Training an MRF, Take AdVIL Chongxuan Li Chao Du Kun Xu Max Welling Jun Zhu Bo Zhang 52 9 0 24 Jan 2019
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 112 30 0 01 Jun 2018
Variational Rejection Sampling Aditya Grover Ramki Gummadi Miguel Lazaro-Gredilla Dale Schuurmans Stefano Ermon BDL 133 32 0 05 Apr 2018