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Modelling Sampling Distributions of Test Statistics with Autograd

Modelling Sampling Distributions of Test Statistics with Autograd

3 May 2024
A. A. Kadhim
Harrison B. Prosper
ArXivPDFHTML

Papers citing "Modelling Sampling Distributions of Test Statistics with Autograd"

8 / 8 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
143
30,069
0
01 Mar 2022
Adaptive Conformal Predictions for Time Series
Adaptive Conformal Predictions for Time Series
Margaux Zaffran
Aymeric Dieuleveut
Olivier Féron
Y. Goude
Julie Josse
AI4TS
124
131
0
15 Feb 2022
A Gentle Introduction to Conformal Prediction and Distribution-Free
  Uncertainty Quantification
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
Anastasios Nikolas Angelopoulos
Stephen Bates
OOD
132
607
0
15 Jul 2021
Approximating Lipschitz continuous functions with GroupSort neural
  networks
Approximating Lipschitz continuous functions with GroupSort neural networks
Ugo Tanielian
Maxime Sangnier
Gérard Biau
41
36
0
09 Jun 2020
The frontier of simulation-based inference
The frontier of simulation-based inference
Kyle Cranmer
Johann Brehmer
Gilles Louppe
AI4CE
108
834
0
04 Nov 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
346
5,714
0
25 Jul 2019
MadMiner: Machine learning-based inference for particle physics
MadMiner: Machine learning-based inference for particle physics
Johann Brehmer
F. Kling
Irina Espejo
Kyle Cranmer
42
115
0
24 Jul 2019
Sigmoid-Weighted Linear Units for Neural Network Function Approximation
  in Reinforcement Learning
Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
Stefan Elfwing
E. Uchibe
Kenji Doya
57
1,702
0
10 Feb 2017
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