On Identifying Total Effects in the Presence of Latent Variables and Selection bias

13 June 2012

Papers citing "On Identifying Total Effects in the Presence of Latent Variables and Selection bias"

11 / 11 papers shown

Title
Conditional Modeling Based Automatic Video Summarization Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Min-Hung Chen Marcel Worring VGen 90 5 0 20 Nov 2023
Causalainer: Causal Explainer for Automatic Video Summarization Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Min-Hung Chen Marcel Worring CML VGen 95 12 0 30 Apr 2023
Membership Inference Attacks and Generalization: A Causal Perspective Teodora Baluta Shiqi Shen S. Hitarth Shruti Tople Prateek Saxena OOD MIACV 102 20 0 18 Sep 2022
Causal Effect Variational Autoencoder with Uniform Treatment Daniel Jiwoong Im Kyunghyun Cho N. Razavian OOD CML BDL 34 9 0 16 Nov 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 74 63 0 10 May 2021
Causal Mediation Analysis with Hidden Confounders Lu Cheng Ruocheng Guo Huan Liu CML 91 16 0 21 Feb 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders Andrew Bennett Nathan Kallus Lihong Li Ali Mousavi OffRL 84 44 0 27 Jul 2020
Policy Evaluation with Latent Confounders via Optimal Balance Andrew Bennett Nathan Kallus CML 69 18 0 06 Aug 2019
Probabilistic Analysis of Balancing Scores for Causal Inference Priyantha Wijayatunga CML 8 1 0 21 Apr 2018
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 242 750 0 24 May 2017
On Measurement Bias in Causal Inference Judea Pearl CML 92 113 0 15 Mar 2012