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Fast calibrated additive quantile regression

11 July 2017

Papers citing "Fast calibrated additive quantile regression"

33 / 33 papers shown

Title
Forecasting time series with constraints Nathan Doumèche Francis Bach Éloi Bedek Gérard Biau Claire Boyer Y. Goude AI4TS 203 0 0 14 Feb 2025
Leveraging Graph Neural Networks to Forecast Electricity Consumption Eloi Campagne Yvenn Amara-Ouali Y. Goude Argyris Kalogeratos AI4TS 80 1 0 30 Aug 2024
Gratia: An R package for exploring generalized additive models Gavin L. Simpson 18 5 0 27 Jun 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models A. Altieri Marco Romanelli Georg Pichler F. Alberge Pablo Piantanida 85 0 0 11 Jun 2024
Investigating differences in lab-quality and remote recording methods with dynamic acoustic measures Cong Zhang Kathleen Jepson Yu-Ying Chuang 31 2 0 25 Apr 2024
On Neighbourhood Cross Validation Simon N. Wood 33 1 0 25 Apr 2024
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics Kislaya Ravi Vladyslav Fediukov Felix Dietrich T. Neckel Fabian Buse Michael Bergmann H. Bungartz AI4CE 64 6 0 18 Apr 2024
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation Tomoharu Iwata Atsutoshi Kumagai BDL UQCV 78 1 0 13 Dec 2023
Bayesian Quantile Regression with Subset Selection: A Posterior Summarization Perspective J. Feldman Daniel R. Kowal 30 0 0 03 Nov 2023
Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models Guillaume Lambert Bachir Hamrouche Joseph de Vilmarest AI4TS 60 3 0 16 Feb 2023
Adaptive Probabilistic Forecasting of Electricity (Net-)Load Joseph de Vilmarest J. Browell Matteo Fasiolo Y. Goude Olivier Wintenberger 91 10 0 24 Jan 2023
Scalable estimation and inference for censored quantile regression process Xuming He Xiaoou Pan Kean Ming Tan Wen-Xin Zhou 57 12 0 23 Oct 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 85 18 0 21 Oct 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 89 8 0 04 Jul 2022
Bayesian non-conjugate regression via variational message passing C. Castiglione M. Bernardi 44 0 0 19 Jun 2022
Evaluating Aleatoric Uncertainty via Conditional Generative Models Ziyi Huang Henry Lam Haofeng Zhang PER UD 61 5 0 09 Jun 2022
On the Use of $L$ -functionals in Regression Models Ola Hössjer Måns Karlsson 65 3 0 28 Apr 2022
Learning for Spatial Branching: An Algorithm Selection Approach Bissan Ghaddar Ignacio Gómez-Casares Julio González-Díaz Brais González-Rodríguez Beatriz Pateiro-López Sofía Rodríguez-Ballesteros 61 12 0 22 Apr 2022
Classifier Calibration: A survey on how to assess and improve predicted class probabilities Telmo de Menezes e Silva Filho Hao Song Miquel Perelló Nieto Raúl Santos-Rodríguez Meelis Kull Peter A. Flach 186 85 0 20 Dec 2021
Daily peak electrical load forecasting with a multi-resolution approach Yvenn Amara-Ouali Matteo Fasiolo Y. Goude Hui Yan 39 20 0 08 Dec 2021
Hierarchical transfer learning with applications for electricity load forecasting A. Antoniadis Solenne Gaucher Y. Goude AI4TS 66 11 0 16 Nov 2021
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification Youngseog Chung I. Char Han Guo J. Schneider Willie Neiswanger 93 72 0 21 Sep 2021
Bayesian Confidence Calibration for Epistemic Uncertainty Modelling Fabian Küppers Jan Kronenberger Jonas Schneider Anselm Haselhoff UQCV BDL 73 8 0 21 Sep 2021
Bayesian Effect Selection for Additive Quantile Regression with an Analysis to Air Pollution Thresholds Nadja Klein J. Mateu 11 0 0 23 May 2021
Flexible Specification Testing in Quantile Regression Models Tim Kutzker Nadja Klein Dominik Wied 31 2 0 19 May 2021
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification Youngseog Chung Willie Neiswanger I. Char J. Schneider UQCV 209 89 0 18 Nov 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 114 405 0 19 Oct 2020
Methods to Deal with Unknown Populational Minima during Parameter Inference M. Saldanha A. K. Suzuki 13 0 0 16 Oct 2020
Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France David Obst Joseph de Vilmarest Y. Goude 54 71 0 14 Sep 2020
qgam: Bayesian non-parametric quantile regression modelling in R Matteo Fasiolo S. Wood Margaux Zaffran Raphael Nedellec Y. Goude 33 60 0 07 Jul 2020
evgam: An R package for Generalized Additive Extreme Value Models B. Youngman 59 42 0 09 Mar 2020
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 200 112 0 15 May 2019
Kinetic energy choice in Hamiltonian/hybrid Monte Carlo Samuel Livingstone Michael F Faulkner Gareth O. Roberts 92 45 0 08 Jun 2017