21 citations · 59 across the 20 of their papers we have counts for
6 papers · 1 filter
Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN
Ruidi Chen, Ioannis Paschalidis
We develop a prediction-based prescriptive model for learning optimal personalized treatments for patients based on their Electronic Health Records (EHRs). Our approach consists of…
Clinical Concept Extraction with Contextual Word Embedding
Henghui Zhu, Ioannis Ch. Paschalidis, Amir Tahmasebi
Automatic extraction of clinical concepts is an essential step for turning the unstructured data within a clinical note into structured and actionable information. In this work, we…
Learning from Past Bids to Participate Strategically in Day-Ahead Electricity Markets
Ruidi Chen, Ioannis Ch. Paschalidis, Michael C. Caramanis +1
We consider the process of bidding by electricity suppliers in a day-ahead market context where each supplier bids a linear non-decreasing function of her generating capacity with…
Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions
Artin Spiridonoff, Alex Olshevsky, Ioannis Ch. Paschalidis
We consider the standard model of distributed optimization of a sum of functions $F(\bz) = \sum_{i=1}^n f_i(\bz)$, where node in a network holds the function $f_i(\bz)$. We all…
Fully Asynchronous Push-Sum With Growing Intercommunication Intervals
Alex Olshevsky, Ioannis Ch. Paschalidis, Artin Spiridonoff
We propose an algorithm for average consensus over a directed graph which is both fully asynchronous and robust to unreliable communications. We show its convergence to the average…
Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach
Theodora S. Brisimi, Tingting Xu, Taiyao Wang +3
Urban living in modern large cities has significant adverse effects on health, increasing the risk of several chronic diseases. We focus on the two leading clusters of chronic dise…