Semi-Implicit Variational Inference

28 May 2018

Mingyuan Zhou

Papers citing "Semi-Implicit Variational Inference"

23 / 23 papers shown

Title
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference Xuechun Li Shan Gao Susu Xu DiffM 28 0 0 05 Apr 2025
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 37 4 0 16 Oct 2024
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models Tianqi Chen Shujian Zhang Mingyuan Zhou DiffM 83 3 0 17 Sep 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 43 3 0 30 Jun 2024
Torchtree: flexible phylogenetic model development and inference using PyTorch Mathieu Fourment Matthew Macaulay Christiaan J. Swanepoel Xiang Ji M. Suchard Frederick A Matsen IV BDL 29 0 0 26 Jun 2024
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 40 0 0 25 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 18 1 0 10 Oct 2023
Neural Markov Jump Processes Patrick Seifner Ramses J. Sanchez BDL 32 7 0 31 May 2023
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport Vy Vo Trung Le L. Vuong He Zhao Edwin V. Bonilla Dinh Q. Phung OT 21 4 0 25 May 2023
Star-Shaped Denoising Diffusion Probabilistic Models Andrey Okhotin Dmitry Molchanov V. Arkhipkin Grigory Bartosh Viktor Ohanesian Aibek Alanov Dmitry Vetrov DiffM 32 12 0 10 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 34 30 0 29 Jan 2023
GFlowNets and variational inference Nikolay Malkin Salem Lahlou T. Deleu Xu Ji J. E. Hu Katie Everett Dinghuai Zhang Yoshua Bengio BDL 134 77 0 02 Oct 2022
Probabilistic Conformal Prediction Using Conditional Random Samples Zhendong Wang Ruijiang Gao Mingzhang Yin Mingyuan Zhou David M. Blei TPM 36 22 0 14 Jun 2022
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 85 6 0 15 Jan 2021
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 26 2 0 19 Oct 2020
Uncertainty in Neural Processes Saeid Naderiparizi Ke-Li Chiu Benjamin Bloem-Reddy Frank D. Wood UQCV BDL AI4CE 11 4 0 08 Oct 2020
Variational Inference with Continuously-Indexed Normalizing Flows Anthony L. Caterini R. Cornish Dino Sejdinovic Arnaud Doucet BDL 19 19 0 10 Jul 2020
Infinite-dimensional gradient-based descent for alpha-divergence minimisation Kamélia Daudel Randal Douc Franccois Portier 13 17 0 20 May 2020
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 16 18 0 30 Oct 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin Yu Yizhou Chen Zhongxiang Dai K. H. Low Patrick Jaillet 16 42 0 26 Oct 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017