CatBoostLSS -- An extension of CatBoost to probabilistic forecasting

4 January 2020

Papers citing "CatBoostLSS -- An extension of CatBoost to probabilistic forecasting"

7 / 7 papers shown

Title
Criteria for Classifying Forecasting Methods Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 79 179 0 07 Dec 2022
NGBoost: Natural Gradient Boosting for Probabilistic Prediction Tony Duan Anand Avati D. Ding Khanh K. Thai S. Basu A. Ng Alejandro Schuler BDL 46 306 0 08 Oct 2019
CatBoost: gradient boosting with categorical features support Anna Veronika Dorogush Vasily Ershov Andrey Gulin 155 1,345 0 24 Oct 2018
Gradient and Newton Boosting for Classification and Regression Fabio Sigrist 68 62 0 09 Aug 2018
Top-down Transformation Choice Torsten Hothorn 46 16 0 26 Jun 2017
Transformation Forests Torsten Hothorn A. Zeileis TPM 56 31 0 09 Jan 2017
Stability selection for component-wise gradient boosting in multiple dimensions Janek Thomas A. Mayr B. Bischl M. Schmid Adam Smith B. Hofner 44 66 0 30 Nov 2016