Browsing Year-2022 by Author "Prasad, Ranjitha (Advisor)"

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DAG-LIME : causal interpretability using directed acyclic graphs

Verma, Khushali; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-05)

Widely adapted locally interpretable methods such as LIME [20] and SHAP [12] fail to capture the underlying causal relationships between the variables. They merely capture the linear and non-linear associations. These ...
Joint graph learning and prediction

Akhtar, Mohammad Hamzah; Sheoran, Shikhar; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2021-12)

Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales super exponentially with the number of nodes. ...
Personalized federated self supervised multitask learning

Rastogi, Divyansh; Prasad, Ranjitha (Advisor) (IIIT-Delhi, 2022-12)

Federated learning has been a popular research subject in allowing diverse people and businesses to collaborate on machine learning model training while maintaining privacy. Additionally, in today’s world there is an ...

Now showing items 1-3 of 3

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