On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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3 results for “Outcome-driven”

Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attentionq-bio.QM

Clusters of ACS patients identified for better therapeutic stratification.

problem Data-driven classification and subtyping of ACS patients for improved treatment.

method Outcome-driven clustering using a multi-task neural network with attention.

result Seven patient clusters with distinct characteristics and risk profiles identified.

ACS Cluster analysis Multi-task neural network Outcome-driven Patient stratification

2019-03-01abs ↗pdf ↗

Outcome-Driven Reinforcement Learning via Variational Inferencecs.LG

New RL approach infers optimal policies via variational inference.

problem Manual design of reward functions for reinforcement learning.

method Variational inference for inferring policies achieving desired outcomes.

result Eliminates need for hand-crafted reward functions for diverse tasks.

reinforcement learning variational inference goal-directed tasks probabilistic Bellman backup

2021-04-20abs ↗pdf ↗

Learning to Address Health Inequality in the United States with a Bayesian Decision Networkstat.AP

Life-expectancy is a complex outcome driven by genetic, socio-demographic, environmental and geographic factors. Increasing socio-economic and health disparities in the United States are propagating the longevity-gap, making it a cause for concern. Earlier studies have probed individual factors but an integrated pictur…

2018-09-18abs ↗pdf ↗