34 citations · 99 across the 14 of their papers we have counts for
4 papers · 1 filter
Inference of collective Gaussian hidden Markov models
Rahul Singh, Yongxin Chen
We consider inference problems for a class of continuous state collective hidden Markov models, where the data is recorded in aggregate (collective) form generated by a large popul…
Filtering for Aggregate Hidden Markov Models with Continuous Observations
Qinsheng Zhang, Rahul Singh, Yongxin Chen
We consider a class of filtering problems for large populations where each individual is modeled by the same hidden Markov model (HMM). In this paper, we focus on aggregate inferen…
Incremental inference of collective graphical models
Rahul Singh, Isabel Haasler, Qinsheng Zhang +2
We consider incremental inference problems from aggregate data for collective dynamics. In particular, we address the problem of estimating the aggregate marginals of a Markov chai…
Kiefer Wolfowitz Algorithm is Asymptotically Optimal for a Class of Non-Stationary Bandit Problems
Rahul Singh, Taposh Banerjee
We consider the problem of designing an allocation rule or an "online learning algorithm" for a class of bandit problems in which the set of control actions available at each time…