Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation

26 April 2017

Papers citing "Converting High-Dimensional Regression to High-Dimensional Conditional Density Estimation"

21 / 21 papers shown

Title
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python Martin Jullum Lars Henry Berge Olsen Jon Lachmann Annabelle Redelmeier TDI FAtt 167 3 0 02 Apr 2025
Volume Optimality in Conformal Prediction with Structured Prediction Sets Chao Gao Liren Shan Vaidehi Srinivas Aravindan Vijayaraghavan 115 1 0 23 Feb 2025
Epistemic Uncertainty in Conformal Scores: A Unified Approach Luben M. C. Cabezas Vagner S. Santos Thiago Rodrigo Ramos Rafael Izbicki 514 1 0 10 Feb 2025
Neural Conditional Probability for Uncertainty Quantification Vladimir Kostic Karim Lounici Grégoire Pacreau P. Novelli G. Turri Massimiliano Pontil TPM UQCV 119 0 0 01 Jul 2024
Model Based Explanations of Concept Drift Fabian Hinder Valerie Vaquet Johannes Brinkrolf Barbara Hammer 48 27 0 16 Mar 2023
Kernel Density Bayesian Inverse Reinforcement Learning Aishwarya Mandyam Didong Li Diana Cai Andrew Jones Andrew Jones Barbara E. Engelhardt BDL OffRL 82 3 0 13 Mar 2023
Flexible conditional density estimation for time series Gustavo Grivol Rafael Izbicki A. A. Okuno R. Stern 18 0 0 23 Jan 2023
Split Localized Conformal Prediction Xing Han Ziyang Tang Joydeep Ghosh Qiang Liu 80 19 0 27 Jun 2022
A unified framework for dataset shift diagnostics Felipe Maia Polo Rafael Izbicki Evanildo G. Lacerda J. Ibieta-Jimenez R. Vicente 50 14 0 17 May 2022
Wasserstein Generative Learning of Conditional Distribution Shiao Liu Xingyu Zhou Yuling Jiao Jian Huang GAN 70 21 0 19 Dec 2021
A Deep Generative Approach to Conditional Sampling Xingyu Zhou Yuling Jiao Jin Liu Jian Huang 75 43 0 19 Oct 2021
Semiparametric counterfactual density estimation Edward H. Kennedy Sivaraman Balakrishnan Larry A. Wasserman 162 57 0 24 Feb 2021
Explaining predictive models using Shapley values and non-parametric vine copulas K. Aas T. Nagler Martin Jullum Anders Løland FAtt 64 20 0 12 Feb 2021
CD-split and HPD-split: efficient conformal regions in high dimensions Rafael Izbicki Gilson T. Shimizu R. Stern 410 51 0 24 Jul 2020
Flexible distribution-free conditional predictive bands using density estimators Rafael Izbicki Gilson T. Shimizu R. Stern 409 78 0 12 Oct 2019
Marginally-calibrated deep distributional regression Nadja Klein David J. Nott M. Smith UQCV 86 14 0 26 Aug 2019
Local Interpretation Methods to Machine Learning Using the Domain of the Feature Space T. Botari Rafael Izbicki A. Carvalho FAtt 37 12 0 31 Jul 2019
Nonparametric estimation of the conditional density function with right-censored and dependent data Xianzhu Xiong M. Ou 22 2 0 10 Jul 2019
(f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data T. Pospisil Ann B. Lee 135 11 0 17 Jun 2019
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values K. Aas Martin Jullum Anders Løland FAtt TDI 88 633 0 25 Mar 2019
ABC-CDE: Towards Approximate Bayesian Computation with Complex High-Dimensional Data and Limited Simulations Rafael Izbicki Ann B. Lee T. Pospisil 86 34 0 14 May 2018