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Doubly Semi-Implicit Variational Inference
v1v2 (latest)

Doubly Semi-Implicit Variational Inference

5 October 2018
Dmitry Molchanov
V. Kharitonov
Artem Sobolev
Dmitry Vetrov
    BDL
ArXiv (abs)PDFHTML

Papers citing "Doubly Semi-Implicit Variational Inference"

31 / 31 papers shown
Title
Variational Inference for Quantum HyperNetworks
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
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
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
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
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
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
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
Learning variational autoencoders via MCMC speed measures
Marcel Hirt
Vasileios Kreouzis
P. Dellaportas
BDLDRL
53
2
0
26 Aug 2023
Symmetric Equilibrium Learning of VAEs
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
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
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
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
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
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
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
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
Structured Dropout Variational Inference for Bayesian Neural Networks
S. Nguyen
Duong Nguyen
Khai Nguyen
Khoat Than
Hung Bui
Nhat Ho
BDLDRL
56
8
0
16 Feb 2021
Statistical Guarantees for Transformation Based Models with Applications
  to Implicit Variational Inference
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
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
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
MCMC-Interactive Variational Inference
Quan Zhang
Huangjie Zheng
Mingyuan Zhou
49
1
0
02 Oct 2020
Implicit Distributional Reinforcement Learning
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
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
Thompson Sampling via Local Uncertainty
Zhendong Wang
Mingyuan Zhou
80
19
0
30 Oct 2019
Variational Graph Recurrent Neural Networks
Variational Graph Recurrent Neural Networks
Ehsan Hajiramezanali
Arman Hasanzadeh
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
76
187
0
26 Aug 2019
Semi-Implicit Graph Variational Auto-Encoders
Semi-Implicit Graph Variational Auto-Encoders
Arman Hasanzadeh
Ehsan Hajiramezanali
N. Duffield
Krishna R. Narayanan
Mingyuan Zhou
Xiaoning Qian
BDLGNN
77
132
0
19 Aug 2019
Learning Hierarchical Priors in VAEs
Learning Hierarchical Priors in VAEs
Alexej Klushyn
Nutan Chen
Richard Kurle
Botond Cseke
Patrick van der Smagt
BDLCMLDRL
86
101
0
13 May 2019
Hierarchical Importance Weighted Autoencoders
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
Importance Weighted Hierarchical Variational Inference
Artem Sobolev
Dmitry Vetrov
BDL
74
29
0
08 May 2019
The Deep Weight Prior
The Deep Weight Prior
Andrei Atanov
Arsenii Ashukha
Kirill Struminsky
Dmitry Vetrov
Max Welling
BDL
94
37
0
16 Oct 2018
Unbiased Implicit Variational Inference
Unbiased Implicit Variational Inference
Michalis K. Titsias
Francisco J. R. Ruiz
BDL
129
57
0
06 Aug 2018
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