Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression

16 February 2021

Papers citing "Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression"

25 / 25 papers shown

Title
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 219 2 0 24 Feb 2025
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk Stefan Feuerriegel Mihaela van der Schaar CML 231 5 0 05 Nov 2024
Regularised Least-Squares Regression with Infinite-Dimensional Output Space Junhyunng Park Krikamol Muandet 52 8 0 21 Oct 2020
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models Andrew Jesson Sören Mindermann Uri Shalit Y. Gal CML 47 74 0 01 Jul 2020
Kernel methods through the roof: handling billions of points efficiently Giacomo Meanti Luigi Carratino Lorenzo Rosasco Alessandro Rudi 75 116 0 18 Jun 2020
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification Hyun-Suk Lee Yao Zhang W. Zame Cong Shen Jang-Won Lee M. Schaar CML 25 18 0 14 Jun 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 67 84 0 10 Feb 2020
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses Ulysse Marteau-Ferey Francis R. Bach Alessandro Rudi 48 36 0 03 Jul 2019
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi David M. Blei Victor Veitch CML 148 376 0 05 Jun 2019
Estimation of a regular conditional functional by conditional U-statistics regression A. Derumigny 19 3 0 26 Mar 2019
Causal effects based on distributional distances Kwangho Kim Jisu Kim Edward H. Kennedy CML 34 19 0 08 Jun 2018
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Ahmed Alaa Mihaela van der Schaar CML 53 43 0 24 Dec 2017
Some methods for heterogeneous treatment effect estimation in high-dimensions Scott Powers Junyang Qian Kenneth Jung Alejandro Schuler N. Shah Trevor Hastie Robert Tibshirani CML 69 219 0 01 Jul 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 164 926 0 12 Jun 2017
FALKON: An Optimal Large Scale Kernel Method Alessandro Rudi Luigi Carratino Lorenzo Rosasco 78 196 0 31 May 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 206 744 0 24 May 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Ahmed Alaa M. Schaar CML 173 304 0 10 Apr 2017
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 104 64 0 31 May 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 282 730 0 12 May 2016
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions Carl-Johann Simon-Gabriel Bernhard Schölkopf 49 92 0 18 Apr 2016
Operator-valued Kernels for Learning from Functional Response Data Hachem Kadri E. Duflos Philippe Preux S. Canu A. Rakotomamonjy Julien Audiffren 68 130 0 28 Oct 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 352 2,486 0 14 Oct 2015
Optimal A Priori Balance in the Design of Controlled Experiments Nathan Kallus 120 96 0 02 Dec 2013
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 224 530 0 03 Mar 2010
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 217 745 0 30 Jul 2009