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Estimating Causal Effects with the Neural Autoregressive Density
  Estimator
v1v2 (latest)

Estimating Causal Effects with the Neural Autoregressive Density Estimator

17 August 2020
Sergio Garrido
S. Borysov
Jeppe Rich
Francisco Câmara Pereira
    CML
ArXiv (abs)PDFHTML

Papers citing "Estimating Causal Effects with the Neural Autoregressive Density Estimator"

4 / 4 papers shown
Title
Robot Pouring: Identifying Causes of Spillage and Selecting Alternative Action Parameters Using Probabilistic Actual Causation
Robot Pouring: Identifying Causes of Spillage and Selecting Alternative Action Parameters Using Probabilistic Actual Causation
Jaime Maldonado
Jonas Krumme
C. Zetzsche
Vanessa Didelez
K. Schill
178
0
0
13 Feb 2025
Using Deep Autoregressive Models as Causal Inference Engines
Using Deep Autoregressive Models as Causal Inference Engines
Daniel Jiwoong Im
Kevin Zhang
Nakul Verma
Kyunghyun Cho
CML
68
1
0
27 Sep 2024
Optimal Transport for Treatment Effect Estimation
Optimal Transport for Treatment Effect Estimation
Hao Wang
Zhichao Chen
Jiajun Fan
Haoxuan Li
Tianqiao Liu
Weiming Liu
Quanyu Dai
Yichao Wang
Zhenhua Dong
Ruiming Tang
OTCML
82
38
0
27 Oct 2023
VACA: Design of Variational Graph Autoencoders for Interventional and
  Counterfactual Queries
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries
Pablo Sánchez-Martín
Miriam Rateike
Isabel Valera
CMLBDL
77
14
0
27 Oct 2021
1