Adjustment for Confounding using Pre-Trained Representations

17 June 2025

Papers citing "Adjustment for Confounding using Pre-Trained Representations"

31 / 31 papers shown

Title
Causal inference through multi-stage learning and doubly robust deep neural networks Yuqian Zhang Jelena Bradic OOD CML 57 1 0 11 Jul 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan Leonardo Cotta Karen Ullrich Rahul G. Krishnan Chris J. Maddison SyDa CML 3DV 73 11 0 09 Jul 2024
Efficient adjustment for complex covariates: Gaining efficiency with DOPE Alexander Mangulad Christgau Niels Richard Hansen 73 3 0 20 Feb 2024
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Jan Rabenseifner Jan Teichert-Kluge Philipp Bach Victor Chernozhukov Martin Spindler Suhas Vijaykumar BDL CML 49 7 0 01 Feb 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images Nicholas Konz Maciej A. Mazurowski 51 7 0 16 Jan 2024
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities Connor Jerzak Fredrik D. Johansson Adel Daoud CML 68 12 0 30 Jan 2023
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 89 22 0 13 Jun 2022
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa Connor Jerzak Fredrik D. Johansson Adel Daoud CML 67 6 0 13 Jun 2022
Causal Transformer for Estimating Counterfactual Outcomes Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel CML 86 98 0 14 Apr 2022
TorchXRayVision: A library of chest X-ray datasets and models Joseph Paul Cohen J. Viviano Paul Bertin Paul Morrison Parsa Torabian ... M. Lungren Akshay S. Chaudhari Rupert Brooks Mohammad Hashir H. Bertrand VLM MedIm 101 126 0 31 Oct 2021
Datasets: A Community Library for Natural Language Processing Quentin Lhoest Albert Villanova del Moral Yacine Jernite A. Thakur Patrick von Platen ... Thibault Goehringer Victor Mustar François Lagunas Alexander M. Rush Thomas Wolf 218 613 0 07 Sep 2021
Estimation of a regression function on a manifold by fully connected deep neural networks Michael Kohler S. Langer U. Reif 63 5 0 20 Jul 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction Afsaneh Mastouri Yuchen Zhu Limor Gultchin Anna Korba Ricardo M. A. Silva Matt J. Kusner Arthur Gretton Krikamol Muandet CML 49 63 0 10 May 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 231 272 0 18 Apr 2021
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python Philipp Bach Victor Chernozhukov Malte S. Kurz Martin Spindler VLM GP 45 36 0 07 Apr 2021
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning Armen Aghajanyan Luke Zettlemoyer Sonal Gupta 101 568 1 22 Dec 2020
CausalML: Python Package for Causal Machine Learning Huigang Chen Totte Harinen Jeong-Yoon Lee Mike Yung Zhenyu Zhao CML 50 113 0 25 Feb 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 88 130 0 06 Feb 2020
Deep ReLU network approximation of functions on a manifold Johannes Schmidt-Hieber 85 95 0 02 Aug 2019
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi David M. Blei Victor Veitch CML 148 376 0 05 Jun 2019
Intrinsic dimension of data representations in deep neural networks A. Ansuini Alessandro Laio Jakob H. Macke D. Zoccolan AI4CE 78 279 0 29 May 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 62 58 0 11 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
Causal Inference with Noisy and Missing Covariates via Matrix Factorization Nathan Kallus Xiaojie Mao Madeleine Udell CML 75 63 0 03 Jun 2018
On the Intrinsic Dimensionality of Image Representations Sixue Gong Vishnu Boddeti Anil K. Jain 52 73 0 26 Mar 2018
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 230 815 0 22 Aug 2017
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 211 432 0 08 Mar 2017
Double/Debiased/Neyman Machine Learning of Treatment Effects Victor Chernozhukov Denis Chetverikov Mert Demirer E. Duflo Christian B. Hansen Whitney Newey CML FedML 149 351 0 30 Jan 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 153 535 0 01 Oct 2013
Local polynomial regression on unknown manifolds Peter J. Bickel Bo Li 248 130 0 07 Aug 2007