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Wasserstein variational gradient descent: From semi-discrete optimal
  transport to ensemble variational inference
v1v2 (latest)

Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference

7 November 2018
Luca Ambrogioni
Rémi Flamary
R. Tavenard
    OT
ArXiv (abs)PDFHTML

Papers citing "Wasserstein variational gradient descent: From semi-discrete optimal transport to ensemble variational inference"

5 / 5 papers shown
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
Steven Adams
A. Patané
Morteza Lahijanian
Luca Laurenti
BDL
374
8
0
26 Jul 2024
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical
  Solution
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical SolutionMathematical programming (Math. Program.), 2021
Bahar Taşkesen
Soroosh Shafieezadeh-Abadeh
Daniel Kuhn
OT
235
35
0
10 Mar 2021
Stein Variational Gradient Descent: many-particle and long-time
  asymptotics
Stein Variational Gradient Descent: many-particle and long-time asymptoticsFoundations of Data Science (FODS), 2021
Nikolas Nusken
D. M. Renger
222
25
0
25 Feb 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and ChallengesInformation Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
955
2,296
0
12 Nov 2020
Implicit Generative Modeling for Efficient Exploration
Implicit Generative Modeling for Efficient ExplorationInternational Conference on Machine Learning (ICML), 2019
Neale Ratzlaff
Qinxun Bai
Fuxin Li
Wenyuan Xu
378
15
0
19 Nov 2019
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