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A Neural Mean Embedding Approach for Back-door and Front-door Adjustment

A Neural Mean Embedding Approach for Back-door and Front-door Adjustment

12 October 2022
Liyuan Xu
Arthur Gretton
    CML
    BDL
ArXivPDFHTML

Papers citing "A Neural Mean Embedding Approach for Back-door and Front-door Adjustment"

6 / 6 papers shown
Title
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series
Kausik Lakkaraju
Rachneet Kaur
Parisa Zehtabi
Sunandita Patra
Siva Likitha Valluru
Zhen Zeng
Biplav Srivastava
Marco Valtorta
AI4TS
89
0
0
17 Feb 2025
An Overview of Causal Inference using Kernel Embeddings
An Overview of Causal Inference using Kernel Embeddings
Dino Sejdinovic
CML
BDL
53
4
0
30 Oct 2024
Automatic debiasing of neural networks via moment-constrained learning
Automatic debiasing of neural networks via moment-constrained learning
Christian L. Hines
Oliver J. Hines
CML
OOD
41
0
0
29 Sep 2024
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for
  Robustness Through a Causal Lens
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens
Kausik Lakkaraju
Rachneet Kaur
Zhen Zeng
Parisa Zehtabi
Sunandita Patra
Biplav Srivastava
Marco Valtorta
AI4TS
59
0
0
12 Jun 2024
High Dimensional Causal Inference with Variational Backdoor Adjustment
High Dimensional Causal Inference with Variational Backdoor Adjustment
Daniel Israel
Aditya Grover
Guy Van den Broeck
CML
21
0
0
09 Oct 2023
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
127
578
0
27 Feb 2015
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