2 citations · 7 across the 10 of their papers we have counts for
10 papers
Mixture-based Nonparametric Estimation of Spatial Covariance Functions with Applications to HIV Key Population Size Estimation across Sub-Saharan Africa
Manushi Siriwardana, Hyebin Song, Le Bao +1
Consistent data on the sizes of key populations, such as female sex workers (FSWs), are often scarce, particularly at the sub-national level. Accurate size estimates are critical t…
An MCMC-Based Method for Dynamic Causal Modeling of Effective Connectivity in Functional MRI
Kaitlyn R. Fales, Hyebin Song, Nicole A. Lazar
Effective connectivity analysis in functional magnetic resonance imaging (fMRI) studies directional interactions among brain regions and experimental stimuli. Dynamic causal modeli…
Batched Single-Index Global Multi-Armed Bandits with Covariates
Sakshi Arya, Hyebin Song
The multi-armed bandits (MAB) framework is a widely used approach for sequential decision-making, where a decision-maker selects an arm in each round with the goal of maximizing lo…
Efficient shape-constrained inference for the autocovariance sequence from a reversible Markov chain
Stephen Berg, Hyebin Song
In this paper, we study the problem of estimating the autocovariance sequence resulting from a reversible Markov chain. A motivating application for studying this problem is the es…
NURD: Negative-Unlabeled Learning for Online Datacenter Straggler Prediction
Yi Ding, Avinash Rao, Hyebin Song +2
Datacenters execute large computational jobs, which are composed of smaller tasks. A job completes when all its tasks finish, so stragglers -- rare, yet extremely slow tasks -- are…
Convergence guarantee for the sparse monotone single index model
Ran Dai, Hyebin Song, Rina Foygel Barber +1
We consider a high-dimensional monotone single index model (hdSIM), which is a semiparametric extension of a high-dimensional generalize linear model (hdGLM), where the link functi…