Probabilistic supervised learning

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Probabilistic supervised learning

2 January 2018

Frithjof Gressmann

Franz J. Király

Bilal A. Mateen

Harald Oberhauser

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Papers citing "Probabilistic supervised learning"

8 / 8 papers shown

Title
Had enough of experts? Quantitative knowledge retrieval from large language models David Selby Kai Spriestersbach Yuichiro Iwashita Dennis Bappert Archana Warrier Sumantrak Mukherjee Muhammad Nabeel Asim Koichi Kise Sebastian Vollmer 143 1 0 12 Feb 2024
Examining marginal properness in the external validation of survival models with squared and logarithmic losses R. Sonabend John Zobolas Riccardo Be Bin Philipp Kopper Lukas Burk Andreas Bender 71 3 0 10 Dec 2022
Path classification by stochastic linear recurrent neural networks Wiebke Bartolomaeus Youness Boutaib Sandra Nestler Holger Rauhut 149 3 0 06 Aug 2021
Learning Optimal Representations with the Decodable Information Bottleneck Yann Dubois Douwe Kiela D. Schwab Ramakrishna Vedantam 115 43 0 27 Sep 2020
mlr3proba: An R Package for Machine Learning in Survival Analysis R. Sonabend Franz J. Király Andreas Bender B. Bischl Michel Lang 43 1 0 18 Aug 2020
MLJ: A Julia package for composable machine learning Anthony D. Blaom Franz J. Király Thibaut Lienart Yiannis Simillides Diego Arenas Sebastian J. Vollmer VLM 127 57 0 23 Jul 2020
A Data-driven Market Simulator for Small Data Environments Hans Bühler Blanka Horvath Terry Lyons Imanol Perez Arribas Ben Wood 90 67 0 21 Jun 2020
Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling S. Burkart Franz J. Király 33 6 0 16 Nov 2017