237 citations · 2.1k across the 121 of their papers we have counts for
13 papers · 1 filter
A Jump Stochastic Differential Equation Approach for Influence Prediction on Information Propagation Networks
Yaohua Zang, Gang Bao, Xiaojing Ye +2
We propose a novel problem formulation of continuous-time information propagation on heterogenous networks based on jump stochastic differential equations (SDE). The structure of t…
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
Jiachen Yang, Alireza Nakhaei, David Isele +2
A variety of cooperative multi-agent control problems require agents to achieve individual goals while contributing to collective success. This multi-goal multi-agent setting poses…
Learning Deep Hidden Nonlinear Dynamics from Aggregate Data
Yisen Wang, Bo Dai, Lingkai Kong +3
Learning nonlinear dynamics from diffusion data is a challenging problem since the individuals observed may be different at different time points, generally following an aggregate…
LinkNBed: Multi-Graph Representation Learning with Entity Linkage
Rakshit Trivedi, Bunyamin Sisman, Jun Ma +3
Knowledge graphs have emerged as an important model for studying complex multi-relational data. This has given rise to the construction of numerous large scale but incomplete knowl…
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation
Lu Wang, Wei Zhang, Xiaofeng He +1
Dynamic treatment recommendation systems based on large-scale electronic health records (EHRs) become a key to successfully improve practical clinical outcomes. Prior relevant stud…
Learning to Optimize via Wasserstein Deep Inverse Optimal Control
Yichen Wang, Le Song, Hongyuan Zha
We study the inverse optimal control problem in social sciences: we aim at learning a user's true cost function from the observed temporal behavior. In contrast to traditional phen…