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A Causal Lens for Peeking into Black Box Predictive Models: Predictive
  Model Interpretation via Causal Attribution

A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution

1 August 2020
A. Khademi
Vasant Honavar
    CML
ArXivPDFHTML

Papers citing "A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution"

5 / 5 papers shown
Title
Towards Learning and Explaining Indirect Causal Effects in Neural
  Networks
Towards Learning and Explaining Indirect Causal Effects in Neural Networks
Abbaavaram Gowtham Reddy
Saketh Bachu
Harsh Nilesh Pathak
Ben Godfrey
V. Balasubramanian
V. Varshaneya
Satya Narayanan Kar
CML
31
0
0
24 Mar 2023
Matching Learned Causal Effects of Neural Networks with Domain Priors
Matching Learned Causal Effects of Neural Networks with Domain Priors
Sai Srinivas Kancheti
Abbavaram Gowtham Reddy
V. Balasubramanian
Amit Sharma
CML
36
12
0
24 Nov 2021
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,238
0
24 Jun 2017
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,690
0
28 Feb 2017
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
720
0
12 May 2016
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