3 papers
math.ST2026
On Optimal Data Splitting for Split Conformal Prediction
Sayan Das, Bahram Yaghooti, Todd A. Kuffner +1
Conformal prediction and its variants, including the split conformal prediction, provide a distribution-free framework for uncertainty quantification by constructing prediction int…
cs.LG2025
Gram-Schmidt Methods for Unsupervised Feature Extraction and Selection
Bahram Yaghooti, Netanel Raviv, Bruno Sinopoli
Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS)…
eess.SY2025
A Data-Integrated Framework for Learning Fractional-Order Nonlinear Dynamical Systems
Bahram Yaghooti, Chengyu Li, Bruno Sinopoli
This paper presents a data-integrated framework for learning the dynamics of fractional-order nonlinear systems in both discrete-time and continuous-time settings. The proposed fra…