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The linear conditional expectation in Hilbert space
v1v2 (latest)

The linear conditional expectation in Hilbert space

27 August 2020
I. Klebanov
Björn Sprungk
T. Sullivan
ArXiv (abs)PDFHTML

Papers citing "The linear conditional expectation in Hilbert space"

9 / 9 papers shown
Title
Deterministic Fokker-Planck Transport -- With Applications to Sampling,
  Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo
Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo
Ilja Klebanov
OT
58
0
0
11 Oct 2024
Optimal Transportation by Orthogonal Coupling Dynamics
Optimal Transportation by Orthogonal Coupling Dynamics
Mohsen Sadr
Peyman Mohajerin Esfehani
Hossein Gorji
OT
110
0
0
10 Oct 2024
Adaptive inference with random ellipsoids through Conformal Conditional
  Linear Expectation
Adaptive inference with random ellipsoids through Conformal Conditional Linear Expectation
Iain Henderson
Adrien Mazoyer
Fabrice Gamboa
68
4
0
27 Sep 2024
Generalised Bayes Linear Inference
Generalised Bayes Linear Inference
L. Astfalck
Cassandra Bird
Daniel Williamson
AI4CE
69
0
0
23 May 2024
Learning linear operators: Infinite-dimensional regression as a
  well-behaved non-compact inverse problem
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer
Nicole Mücke
T. Sullivan
96
26
0
16 Nov 2022
Optimal Rates for Regularized Conditional Mean Embedding Learning
Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li
Dimitri Meunier
Mattes Mollenhauer
Arthur Gretton
97
52
0
02 Aug 2022
Graph Representation Learning via Aggregation Enhancement
Graph Representation Learning via Aggregation Enhancement
Maxim Fishman
Chaim Baskin
Evgenii Zheltonozhskii
Almog David
Ron Banner
A. Mendelson
104
0
0
30 Jan 2022
Uncertainty Quantification and Experimental Design for Large-Scale
  Linear Inverse Problems under Gaussian Process Priors
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors
Cédric Travelletti
D. Ginsbourger
N. Linde
70
4
0
08 Sep 2021
Nonparametric approximation of conditional expectation operators
Nonparametric approximation of conditional expectation operators
Mattes Mollenhauer
P. Koltai
95
17
0
23 Dec 2020
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