Demystifying statistical learning based on efficient influence functions

Demystifying statistical learning based on efficient influence functions

1 July 2021

Karla Diaz-Ordaz

S. Vansteelandt

Papers citing "Demystifying statistical learning based on efficient influence functions"

11 / 11 papers shown

Title
Targeted Learning for Data Fairness Alexander Asemota Giles Hooker FaML 98 0 0 06 Feb 2025
Debiasing Synthetic Data Generated by Deep Generative Models A. Decruyenaere Heidelinde Dehaene Paloma Rabaey Christiaan Polet Johan Decruyenaere Thomas Demeester S. Vansteelandt AI4CE 38 0 0 06 Nov 2024
Semiparametric conformal prediction Ji Won Park Robert Tibshirani Kyunghyun Cho 46 4 0 04 Nov 2024
Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes Hugh Dance Peter Orbanz Arthur Gretton CML 42 1 0 18 Oct 2024
Automatic debiasing of neural networks via moment-constrained learning Christian L. Hines Oliver J. Hines CML OOD 41 0 0 29 Sep 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning Weilin Chen Ruichu Cai Zeqin Yang Jie Qiao Yuguang Yan Zijian Li Zhifeng Hao CML 44 7 0 06 May 2024
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding Ashesh Rambachan Amanda Coston Edward H. Kennedy 31 4 0 19 Dec 2022
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 33 8 0 07 Dec 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 34 2 0 10 Jun 2022
Decorrelated Variable Importance I. Verdinelli Larry A. Wasserman FAtt 17 18 0 21 Nov 2021
Parameterising the effect of a continuous exposure using average derivative effects Oliver Hines Karla Diaz-Ordaz S. Vansteelandt 16 10 0 27 Sep 2021