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Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths
  and Time Series

Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series

11 November 2021
Patric Bonnier
Harald Oberhauser
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series"

3 / 3 papers shown
Title
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
331
5
0
02 Apr 2025
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Efficient Training of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions
Jianxin Zhang
Josh Viktorov
Doosan Jung
Emily Pitler
DiffM
257
3
0
04 Oct 2024
Non-adversarial training of Neural SDEs with signature kernel scores
Non-adversarial training of Neural SDEs with signature kernel scores
Zacharia Issa
Blanka Horvath
M. Lemercier
C. Salvi
AI4TS
150
32
0
25 May 2023
1