3 papers
cs.LG2024
Interpretable Hierarchical Attention Network for Medical Condition Identification
Dongping Fang, Lian Duan, Xiaojing Yuan +5
Accurate prediction of medical conditions with straight past clinical evidence is a long-sought topic in the medical management and health insurance field. Although great progress…
stat.ML2024
Hybrid Reinforcement Learning Breaks Sample Size Barriers in Linear MDPs
Kevin Tan, Wei Fan, Yuting Wei
Hybrid Reinforcement Learning (RL), where an agent learns from both an offline dataset and online explorations in an unknown environment, has garnered significant recent interest.…
stat.ME2024
Accelerated Inference for Partially Observed Markov Processes using Automatic Differentiation
Kevin Tan, Giles Hooker, Edward L. Ionides
Automatic differentiation (AD) has driven recent advances in machine learning, including deep neural networks and Hamiltonian Markov Chain Monte Carlo methods. Partially observed n…