Humans make thousands of decisions under ambiguity every day, where most times the probabilities of getting beneficial outcomes are not fully known. Although ambiguity aversion is well characterized ...
Observational data collected from electronic health records (EHR) are often obtained at irregular visit time points because the visit process may depend on the patient's medical condition or disease ...
description [ICLR 2026][Reinforcement Learning][Contextual Multi-armed Bandits] This paper proposes the Single Index Bandits (SIB) problem, extending generalized linear bandits to settings with ...
In a volatile economy, the most resilient leaders usually aren’t the ones who followed a straight path; they’re the ones who designed careers with intention, range and adaptability. For decades, we’ve ...
Shekhar Vaidya is a veteran technology journalist and computer science engineer. He is the founder of TechLatest, where he has spent years providing technical analysis on hardware and Windows ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...
Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...
Attributing health outcomes to climate-related exposures is essential for informing adaptive policy, yet Southeast Asia, one ...
Researchers at DeepSeek on Monday released a new experimental model called V3.2-exp, designed to have dramatically lower inference costs when used in long-context operations. DeepSeek announced the ...
ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...
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