Distributional Gradient Boosting Machines

2 April 2022

Papers citing "Distributional Gradient Boosting Machines"

6 / 6 papers shown

Title
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 73 6 0 12 Aug 2024
Forecasting with Hyper-Trees Alexander März Kashif Rasul 44 0 0 13 May 2024
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean Anton Thielmann René-Marcel Kruse Thomas Kneib Benjamin Säfken 29 12 0 27 Jan 2023
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 30 4 0 17 Sep 2022
High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks Jonathan Berrisch Michał Narajewski F. Ziel 11 6 0 07 Mar 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