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Quasi-Monte Carlo Variational Inference

Quasi-Monte Carlo Variational Inference

4 July 2018
Alexander K. Buchholz
F. Wenzel
Stephan Mandt
    BDL
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Papers citing "Quasi-Monte Carlo Variational Inference"

13 / 13 papers shown
Title
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Hoang Phuc Hau Luu
Hanlin Yu
Bernardo Williams
Marcelo Hartmann
Arto Klami
DRL
46
0
0
03 Oct 2024
You Only Accept Samples Once: Fast, Self-Correcting Stochastic
  Variational Inference
You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference
Dominic B. Dayta
TPM
BDL
32
0
0
05 Jun 2024
Provable convergence guarantees for black-box variational inference
Provable convergence guarantees for black-box variational inference
Justin Domke
Guillaume Garrigos
Robert Mansel Gower
25
18
0
04 Jun 2023
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models
Luke Vilnis
Yury Zemlyanskiy
Patrick C. Murray
Alexandre Passos
Sumit Sanghai
62
9
0
18 Oct 2022
Continuous Mixtures of Tractable Probabilistic Models
Continuous Mixtures of Tractable Probabilistic Models
Alvaro H. C. Correia
G. Gala
Erik Quaeghebeur
Cassio de Campos
Robert Peharz
TPM
19
18
0
21 Sep 2022
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo
Yueming Lyu
Yuan. Yuan
Ivor W. Tsang
23
4
0
29 Oct 2020
Effectively Unbiased FID and Inception Score and where to find them
Effectively Unbiased FID and Inception Score and where to find them
Min Jin Chong
David A. Forsyth
EGVM
13
200
0
16 Nov 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
Maximilian Balandat
Brian Karrer
Daniel R. Jiang
Sam Daulton
Benjamin Letham
A. Wilson
E. Bakshy
32
93
0
14 Oct 2019
Monte Carlo Gradient Estimation in Machine Learning
Monte Carlo Gradient Estimation in Machine Learning
S. Mohamed
Mihaela Rosca
Michael Figurnov
A. Mnih
45
400
0
25 Jun 2019
Divide and Couple: Using Monte Carlo Variational Objectives for
  Posterior Approximation
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation
Justin Domke
Daniel Sheldon
24
18
0
24 Jun 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient
  Inference via Data Augmentation
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
Théo Galy-Fajou
F. Wenzel
Christian Donner
Manfred Opper
25
29
0
23 May 2019
Good Initializations of Variational Bayes for Deep Models
Good Initializations of Variational Bayes for Deep Models
Simone Rossi
Pietro Michiardi
Maurizio Filippone
BDL
17
21
0
18 Oct 2018
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
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