Search Results for author:
Found 4 papers, 0 papers with code
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation
Compared with widely-used nonparametric variational inference methods, the proposed method is easy to implement and adaptive to various data structures.
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights
There are many different methods in the literature for local explanation of machine learning results.
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition
The applicant is then entitled to an explanation for the negative decision.
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
The growing public concerns on data privacy in face recognition can be greatly addressed by the federated learning (FL) paradigm.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
