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cs.LG2025
List-Decodable Regression via Expander Sketching
Herbod Pourali, Sajjad Hashemian, Ebrahim Ardeshir-Larijani
We introduce an expander-sketching framework for list-decodable linear regression that achieves sample complexity , list size , and near input-s…
quant-ph2025
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models
Sajjad Hashemian, Mohammad Saeed Arvenaghi
In this paper, we propose a novel framework for efficiently and accurately estimating Lipschitz constants in hybrid quantum-classical decision models. Our approach integrates class…
cs.LG2025
Almost Linear Time Consistent Mode Estimation and Quick Shift Clustering
Sajjad Hashemian
In this paper, we propose a method for density-based clustering in high-dimensional spaces that combines Locality-Sensitive Hashing (LSH) with the Quick Shift algorithm. The Quick…