v1v2 (latest)

Doubly Semi-Implicit Variational Inference

5 October 2018

Dmitry Vetrov

Papers citing "Doubly Semi-Implicit Variational Inference"

31 / 31 papers shown

Title
Variational Inference for Quantum HyperNetworks Luca Nepote Alix Lhéritier Nicolas Bondoux Marios Kountouris Maurizio Filippone MQ 48 0 0 06 Jun 2025
Revisiting Unbiased Implicit Variational Inference Tobias Pielok Bernd Bischl David Rügamer BDL 78 0 0 04 Jun 2025
BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale Randy Ardywibowo Rakesh Sunki Lucy Kuo Sankalp Nayak BDL 43 0 0 03 Oct 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 57 7 0 29 May 2024
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation Mingyuan Zhou Huangjie Zheng Zhendong Wang Mingzhang Yin Hai Huang DiffM 136 69 0 05 Apr 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation Yuda Shao Shan Yu Tianshu Feng 65 1 0 10 Mar 2024
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 56 1 0 10 Oct 2023
Learning variational autoencoders via MCMC speed measures Marcel Hirt Vasileios Kreouzis P. Dellaportas BDL DRL 53 2 0 26 Aug 2023
Symmetric Equilibrium Learning of VAEs B. Flach D. Schlesinger Alexander Shekhovtsov DRL 55 1 0 19 Jul 2023
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling Tianqi Chen Mingyuan Zhou DiffM 103 9 0 28 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 71 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 109 14 0 10 Feb 2023
Quantum HyperNetworks: Training Binary Neural Networks in Quantum Superposition Juan Carrasquilla Mohamed Hibat-Allah E. Inack Alireza Makhzani Kirill Neklyudov Graham Taylor G. Torlai MQ 61 9 0 19 Jan 2023
Inversion of Bayesian Networks Jesse van Oostrum Peter van Hintum Nihat Ay BDL 49 1 0 20 Dec 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo Shahin Boluki Zhangyang Wang Bobak J. Mortazavi Shuai Huang Xiaoning Qian 43 2 0 31 Mar 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 83 10 0 15 Dec 2021
Structured Dropout Variational Inference for Bayesian Neural Networks S. Nguyen Duong Nguyen Khai Nguyen Khoat Than Hung Bui Nhat Ho BDL DRL 56 8 0 16 Feb 2021
Statistical Guarantees for Transformation Based Models with Applications to Implicit Variational Inference Sean Plummer Shuang Zhou A. Bhattacharya David B. Dunson D. Pati DRL 53 2 0 23 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 78 2 0 19 Oct 2020
Ensemble Kalman Variational Objectives: Nonlinear Latent Trajectory Inference with A Hybrid of Variational Inference and Ensemble Kalman Filter Tsuyoshi Ishizone T. Higuchi Kazuyuki Nakamura BDL 35 1 0 17 Oct 2020
MCMC-Interactive Variational Inference Quan Zhang Huangjie Zheng Mingyuan Zhou 49 1 0 02 Oct 2020
Implicit Distributional Reinforcement Learning Yuguang Yue Zhendong Wang Mingyuan Zhou OffRL 86 16 0 13 Jul 2020
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 90 31 0 31 Oct 2019
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 80 19 0 30 Oct 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 76 187 0 26 Aug 2019
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 77 132 0 19 Aug 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 86 101 0 13 May 2019
Hierarchical Importance Weighted Autoencoders Chin-Wei Huang Kris Sankaran Eeshan Gunesh Dhekane Alexandre Lacoste Aaron Courville BDL 61 15 0 13 May 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 74 29 0 08 May 2019
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 103 37 0 16 Oct 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 129 57 0 06 Aug 2018