3 papers
stat.AP2026
Discrete-Time Survival Analysis for Heart Failure Mortality Prediction
Aditya Rane, Amit Choudhari, Shashi Kant +1
Accurate heart-failure prognosis relies on tracking clinical risk over time, yet many machine-learning applications mishandle right-censored survival data by either discarding a pa…
cs.LG2026
Privacy-Aware Collaborative and Distributed Bayesian Optimization
Aditya Rane, Sathwik Yamana, Paritosh Ramanan +2
We propose a collaborative meta-learning framework for distributed Bayesian optimization matching centralized performance without raw-data exchange. We show gradient sharing leaks…
stat.ME2025
Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction
Sina Aghaee Dabaghan Fard, Minhee Kim, Akash Deep +1
Modern industrial systems are often subject to multiple failure modes, and their conditions are monitored by multiple sensors, generating multiple time-series signals. Additionally…