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Proper scoring rules for estimation and forecast evaluation
v1v2 (latest)

Proper scoring rules for estimation and forecast evaluation

2 April 2025
Kartik Waghmare
Johanna Ziegel
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Proper scoring rules for estimation and forecast evaluation"

50 / 54 papers shown
Title
Efficient Imitation under Misspecification
Efficient Imitation under Misspecification
Nicolas Espinosa-Dice
Sanjiban Choudhury
Wen Sun
Gokul Swamy
77
1
0
17 Mar 2025
Stein's unbiased risk estimate and Hyvärinen's score matching
Stein's unbiased risk estimate and Hyvärinen's score matching
Sulagna Ghosh
Nikolaos Ignatiadis
Frederic Koehler
Amber Lee
78
1
0
27 Feb 2025
Distributional regression: CRPS-error bounds for model fitting, model
  selection and convex aggregation
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
Clément Dombry
Ahmed Zaoui
149
3
0
21 Nov 2024
Is Score Matching Suitable for Estimating Point Processes?
Is Score Matching Suitable for Estimating Point Processes?
Haoqun Cao
Zizhuo Meng
Tianjun Ke
Feng Zhou
68
1
0
05 Oct 2024
Language Generation with Strictly Proper Scoring Rules
Language Generation with Strictly Proper Scoring Rules
Chenze Shao
Fandong Meng
Yijin Liu
Jie Zhou
90
6
0
29 May 2024
Overview of AdaBoost : Reconciling its views to better understand its
  dynamics
Overview of AdaBoost : Reconciling its views to better understand its dynamics
Perceval Beja-Battais
23
7
0
06 Oct 2023
Variational Inference with Gaussian Score Matching
Variational Inference with Gaussian Score Matching
Chirag Modi
C. Margossian
Yuling Yao
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
68
13
0
15 Jul 2023
Engression: Extrapolation through the Lens of Distributional Regression
Engression: Extrapolation through the Lens of Distributional Regression
Xinwei Shen
N. Meinshausen
UQCV
172
14
0
03 Jul 2023
Locally tail-scale invariant scoring rules for evaluation of extreme
  value forecasts
Locally tail-scale invariant scoring rules for evaluation of extreme value forecasts
Helga Kristin Olafsdottir
Holger Rootzén
David Bolin
23
2
0
26 Jun 2023
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
104
26
0
25 May 2023
Proper Scoring Rules for Survival Analysis
Proper Scoring Rules for Survival Analysis
H. Yanagisawa
55
6
0
01 May 2023
Statistical Efficiency of Score Matching: The View from Isoperimetry
Statistical Efficiency of Score Matching: The View from Isoperimetry
Frederic Koehler
Alexander Heckett
Andrej Risteski
DiffM
141
51
0
03 Oct 2022
Generative machine learning methods for multivariate ensemble
  post-processing
Generative machine learning methods for multivariate ensemble post-processing
Jieyu Chen
Tim Janke
Florian Steinke
Sebastian Lerch
69
30
0
26 Sep 2022
The Geometry and Calculus of Losses
The Geometry and Calculus of Losses
Robert C. Williamson
Zac Cranko
65
6
0
01 Sep 2022
Distributional regression and its evaluation with the CRPS: Bounds and
  convergence of the minimax risk
Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
87
5
0
09 May 2022
Score matching enables causal discovery of nonlinear additive noise
  models
Score matching enables causal discovery of nonlinear additive noise models
Paul Rolland
Volkan Cevher
Matthäus Kleindessner
Chris Russel
Bernhard Schölkopf
Dominik Janzing
Francesco Locatello
CML
90
90
0
08 Mar 2022
Probabilistic Forecasting with Generative Networks via Scoring Rule
  Minimization
Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization
Lorenzo Pacchiardi
Rilwan A. Adewoyin
P. Dueben
Ritabrata Dutta
AI4TS
75
26
0
15 Dec 2021
Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths
  and Time Series
Proper Scoring Rules, Gradients, Divergences, and Entropies for Paths and Time Series
Patric Bonnier
Harald Oberhauser
AI4TS
42
4
0
11 Nov 2021
Pseudo-Spherical Contrastive Divergence
Pseudo-Spherical Contrastive Divergence
Lantao Yu
Jiaming Song
Yang Song
Stefano Ermon
43
7
0
01 Nov 2021
Comparing Sequential Forecasters
Comparing Sequential Forecasters
Yo Joong Choe
Aaditya Ramdas
AI4TS
54
12
0
30 Sep 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
268
7,938
0
11 May 2021
Survival Regression with Proper Scoring Rules and Monotonic Neural
  Networks
Survival Regression with Proper Scoring Rules and Monotonic Neural Networks
David Rindt
Robert Hu
D. Steinsaltz
Dino Sejdinovic
171
38
0
26 Mar 2021
Comparative evaluation of point process forecasts
Comparative evaluation of point process forecasts
Jonas R. Brehmer
T. Gneiting
M. Herrmann
W. Marzocchi
Martin Schlather
K. Strokorb
AI4TS
29
4
0
22 Mar 2021
Valid sequential inference on probability forecast performance
Valid sequential inference on probability forecast performance
A. Henzi
J. Ziegel
41
37
0
15 Mar 2021
Score Matched Neural Exponential Families for Likelihood-Free Inference
Score Matched Neural Exponential Families for Likelihood-Free Inference
Lorenzo Pacchiardi
Ritabrata Dutta
178
28
0
20 Dec 2020
Kernel Mean Embedding of Probability Measures and its Applications to
  Functional Data Analysis
Kernel Mean Embedding of Probability Measures and its Applications to Functional Data Analysis
Saeed Hayati
Kenji Fukumizu
A. Parvardeh
15
5
0
04 Nov 2020
A Spectral Energy Distance for Parallel Speech Synthesis
A Spectral Energy Distance for Parallel Speech Synthesis
A. Gritsenko
Tim Salimans
Rianne van den Berg
Jasper Snoek
Nal Kalchbrenner
47
70
0
03 Aug 2020
Local scale invariance and robustness of proper scoring rules
Local scale invariance and robustness of proper scoring rules
David Bolin
J. Wallin
20
19
0
11 Dec 2019
Isotonic Distributional Regression
Isotonic Distributional Regression
A. Henzi
J. Ziegel
T. Gneiting
110
62
0
09 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,956
0
12 Jul 2019
Why scoring functions cannot assess tail properties
Why scoring functions cannot assess tail properties
Jonas R. Brehmer
K. Strokorb
30
20
0
10 May 2019
Generative Adversarial Nets for Robust Scatter Estimation: A Proper
  Scoring Rule Perspective
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective
Chao Gao
Yuan Yao
Weizhi Zhu
58
22
0
05 Mar 2019
Countdown Regression: Sharp and Calibrated Survival Predictions
Countdown Regression: Sharp and Calibrated Survival Predictions
Anand Avati
Tony Duan
Sharon Zhou
Kenneth Jung
N. Shah
A. Ng
346
55
0
21 Jun 2018
Strictly proper kernel scores and characteristic kernels on compact
  spaces
Strictly proper kernel scores and characteristic kernels on compact spaces
Ingo Steinwart
J. Ziegel
51
25
0
14 Dec 2017
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
199
417
0
11 Oct 2016
Score matching estimators for directional distributions
Score matching estimators for directional distributions
K. Mardia
J. Kent
A. Laha
43
36
0
28 Apr 2016
Variational Hamiltonian Monte Carlo via Score Matching
Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang
Babak Shahbaba
Hongkai Zhao
BDL
50
26
0
06 Feb 2016
Training generative neural networks via Maximum Mean Discrepancy
  optimization
Training generative neural networks via Maximum Mean Discrepancy optimization
Gintare Karolina Dziugaite
Daniel M. Roy
Zoubin Ghahramani
GAN
84
530
0
14 May 2015
Higher order elicitability and Osband's principle
Higher order elicitability and Osband's principle
Tobias Fissler
J. Ziegel
42
328
0
27 Mar 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OODGAN
116
847
0
10 Feb 2015
Existence and Uniqueness of Proper Scoring Rules
Existence and Uniqueness of Proper Scoring Rules
E. Ovcharov
53
6
0
04 Feb 2015
Proper Scoring Rules and Bregman Divergences
Proper Scoring Rules and Bregman Divergences
E. Ovcharov
72
23
0
04 Feb 2015
Bayesian Model Selection Based on Proper Scoring Rules
Bayesian Model Selection Based on Proper Scoring Rules
Philip Dawid
M. Musio
73
58
0
18 Sep 2014
Minimum scoring rule inference
Minimum scoring rule inference
A. Dawid
M. Musio
L. Ventura
67
68
0
16 Mar 2014
Theory and Applications of Proper Scoring Rules
Theory and Applications of Proper Scoring Rules
A. Dawid
M. Musio
166
124
0
02 Jan 2014
Linear Estimating Equations for Exponential Families with Application to
  Gaussian Linear Concentration Models
Linear Estimating Equations for Exponential Families with Application to Gaussian Linear Concentration Models
Peter G. M. Forbes
Steffen Lauritzen
67
34
0
04 Nov 2013
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
221
687
0
25 Jul 2012
Proper local scoring rules on discrete sample spaces
Proper local scoring rules on discrete sample spaces
Philip Dawid
Steffen Lauritzen
M. Parry
79
57
0
12 Apr 2011
Local proper scoring rules of order two
Local proper scoring rules of order two
W. Ehm
T. Gneiting
78
44
0
24 Feb 2011
Proper local scoring rules
Proper local scoring rules
M. Parry
A. Dawid
Steffen Lauritzen
113
140
0
26 Jan 2011
12
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