Title
Kernel Density Machines Damir Filipović P. Schneider 38 0 0 30 Apr 2025
Scalable Higher-Order Tensor Product Spline Models David Rügamer 27 2 0 02 Feb 2024
A New PHO-rmula for Improved Performance of Semi-Structured Networks David Rügamer 23 10 0 01 Jun 2023
mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods David Rügamer 29 0 0 04 Feb 2023
Estimating Conditional Distributions with Neural Networks using R package deeptrafo Lucas Kook Philipp F. M. Baumann Oliver Durr Beate Sick David Rügamer 24 6 0 24 Nov 2022
Mixture of Experts Distributional Regression: Implementation Using Robust Estimation with Adaptive First-order Methods David Rügamer Florian Pfisterer Bernd Bischl Bettina Grün 14 3 0 17 Nov 2022
Uncertainty-aware predictive modeling for fair data-driven decisions Patrick Kaiser Christoph Kern David Rügamer FaML 20 5 0 04 Nov 2022
A review of predictive uncertainty estimation with machine learning Hristos Tyralis Georgia Papacharalampous UD UQCV 56 43 0 17 Sep 2022
Additive Higher-Order Factorization Machines David Rügamer 14 3 0 28 May 2022
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis Philipp Kopper S. Wiegrebe Bernd Bischl Andreas Bender David Rügamer 24 18 0 12 Feb 2022
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 50 12 0 15 Oct 2021
M5 Competition Uncertainty: Overdispersion, distributional forecasting, GAMLSS and beyond F. Ziel 19 14 0 14 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016