Search Results for author:
Found 3 papers, 1 papers with code
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
However, current methods only address joint modeling of longitudinal measurements at regularly-spaced observation times and survival events, neglecting recurrent events.
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning
Model-based offline reinforcement learning methods (RL) have achieved state-of-the-art performance in many decision-making problems thanks to their sample efficiency and generalizability.
Simple and Scalable Sparse k-means Clustering via Feature Ranking
In this paper, we propose a novel framework for sparse k-means clustering that is intuitive, simple to implement, and competitive with state-of-the-art algorithms.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
