5 citations · 10 across the 13 of their papers we have counts for
Showing 2025Show all
3 papers · 1 filter
cs.LG2025★ 1 cited
Time-Constrained Recommendations: Reinforcement Learning Strategies for E-Commerce
Sayak Chakrabarty, Souradip Pal
Unlike traditional recommendation tasks, finite user time budgets introduce a critical resource constraint, requiring the recommender system to balance item relevance and evaluatio…
cs.LG2025
CLoVE: Personalized Federated Learning through Clustering of Loss Vector Embeddings
Randeep Bhatia, Nikos Papadis, Murali Kodialam +2
We propose CLoVE (Clustering of Loss Vector Embeddings), a novel algorithm for Clustered Federated Learning (CFL). In CFL, clients are naturally grouped into clusters based on thei…
cs.LG2025
CLT and Edgeworth Expansion for m-out-of-n Bootstrap Estimators of The Studentized Median
Imon Banerjee, Sayak Chakrabarty
The m-out-of-n bootstrap, originally proposed by Bickel, Gotze, and Zwet (1992), approximates the distribution of a statistic by repeatedly drawing m subsamples (with m much smalle…