Process Independence Testing in Proximal Graphical Event Models
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2022
- CLeaR 2022
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60 results for Karthikeyan Shanmugam
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
- Abhin Shah
- Karthikeyan Shanmugam
- et al.
- 2022
- AISTATS 2022
Scalable Intervention Target Estimation in Linear Models
- Burak Varici
- Karthikeyan Shanmugam
- et al.
- 2021
- NeurIPS 2021
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
- Isha Puri
- Amit Dhurandhar
- et al.
- 2021
- NeurIPS 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
- Zaiwei Chen
- Siva Theja Maguluri
- et al.
- 2021
- NeurIPS 2021
Interventional fairness with indirect knowledge of unobserved protected attributes
- Sainyam Galhotra
- Karthikeyan Shanmugam
- et al.
- 2021
- Entropy
One Explanation Does Not Fit All: A Toolkit And Taxonomy Of AI Explainability Techniques
- 2021
- INFORMS 2021
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models
- Qing Wang
- Larisa Shwartz
- et al.
- 2021
- CLOUD 2021
Leveraging Latent Features for Local Explanations
- Ronny Luss
- Pin-Yu Chen
- et al.
- 2021
- KDD 2021
Conditionally Independent Data Generation
- Kartik Ahuja
- Prasanna Sattigeri
- et al.
- 2021
- UAI 2021