2 papers
stat.ML2026
A New Framework for Convex Clustering in Kernel Spaces: Finite Sample Bounds, Consistency and Performance Insights
Shubhayan Pan, Kushal Bose, Debolina Paul +2
Convex clustering is a well-regarded clustering method, resembling the similar centroid-based approach of Lloyd's -means, without requiring a predefined cluster count. It starts…
stat.ML2026
Stable Thompson Sampling: Valid Inference via Variance Inflation
Budhaditya Halder, Shubhayan Pan, Koulik Khamaru
We consider the problem of statistical inference when the data is collected via a Thompson Sampling-type algorithm. While Thompson Sampling (TS) is known to be both asymptotically…