Kernel Single Proxy Control for Deterministic Confounding

8 August 2023

Papers citing "Kernel Single Proxy Control for Deterministic Confounding"

16 / 16 papers shown

Title
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Chris Beeler Sriram Ganapathi Subramanian Kyle Sprague Nouha Chatti C. Bellinger ... Amanuel Dawit Zihan Yang Xinkai Li Mark Crowley Isaac Tamblyn OffRL 67 6 0 23 May 2023
Optimal Rates for Regularized Conditional Mean Embedding Learning Zhu Li Dimitri Meunier Mattes Mollenhauer Arthur Gretton 54 51 0 02 Aug 2022
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction Benjamin Kompa David R. Bellamy Thomas Kolokotrones J. M. Robins Andrew L. Beam 60 14 0 19 May 2022
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation Liyuan Xu Heishiro Kanagawa Arthur Gretton CML 48 37 0 07 Jun 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 62 0 10 May 2021
Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach Nathan Kallus Xiaojie Mao Masatoshi Uehara CML 72 70 0 25 Mar 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models Severi Rissanen Pekka Marttinen CML 152 28 0 12 Feb 2021
Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments Rahul Singh CML 67 40 0 18 Dec 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 393 10,591 0 17 Feb 2020
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Junhyung Park Krikamol Muandet 67 84 0 10 Feb 2020
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning Aapo Hyvarinen Hiroaki Sasaki Richard Turner OOD CML 95 330 0 22 May 2018
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
Sobolev Norm Learning Rates for Regularized Least-Squares Algorithm Simon Fischer Ingo Steinwart 175 151 0 23 Feb 2017
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil 130 147 0 21 May 2012
On Measurement Bias in Causal Inference Judea Pearl CML 66 113 0 15 Mar 2012
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