AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
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60 results for Karthikeyan Shanmugam
Evaluation of Causal Inference Techniques for AIOps
- Vijay Arya
- Karthikeyan Shanmugam
- et al.
- 2021
- CODS-COMAD 2021
Characterization and learning of causal graphs with latent variables from soft interventions
- Murat Kocaoglu
- Amin Jaber
- et al.
- 2019
- NeurIPS 2019
Sample efficient active learning of causal trees
- Kristjan Greenewald
- Dmitriy Katz-Rogozhnikov
- et al.
- 2019
- NeurIPS 2019
Differentially private distributed data summarization under covariate shift
- Kanthi Sarpatwar
- Karthikeyan Shanmugam
- et al.
- 2019
- NeurIPS 2019
Event-Driven Continuous Time Bayesian Networks: An Application in Modeling Progression out of Poverty through Integrated Social Services
- Debarun Bhattacharjya
- Karthikeyan Shanmugam
- et al.
- 2019
- IJCAI 2019
Blockchain enabled AI marketplace: The price you pay for trust
- Kanthi Sarpatwar
- Venkata Sitaramagiridharganesh Ganapavarapu
- et al.
- 2019
- CVPRW 2019
Size of interventional Markov equivalence classes in random DAG models
- Dmitriy Katz-Rogozhnikov
- Karthikeyan Shanmugam
- et al.
- 2019
- AISTATS 2019
Confidence scoring using whitebox meta-models with linear classifier probes
- Tongfei Chen
- Jiri Navratil
- et al.
- 2019
- AISTATS 2019
ABCD-strategy: Budgeted experimental design for targeted causal structure discovery
- Raj Agrawal
- Chandler Squires
- et al.
- 2019
- AISTATS 2019