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Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan, Xinming Yang, Naveen Narisetty, Feng Liang
In many applications, observations are naturally grouped into different classes.
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Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Fréchet regression has emerged as a promising approach for regression analysis involving non-Euclidean response variables.
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.93)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes
Lingge Li, Dustin Pluta, Babak Shahbaba, Norbert Fortin, Hernando Ombao, Pierre Baldi
Neural Information Processing Systems http://nips.cc/
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- Health & Medicine > Therapeutic Area > Neurology (1.00)
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- Health & Medicine > Diagnostic Medicine > Imaging (0.94)
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Estimating Convergence of Markov chains with L-Lag Couplings
Niloy Biswas, Pierre E. Jacob, Paul Vanetti
Various theoretical results provideupper bounds onthedistance between the target and marginal distribution after a fixed number of iterations.
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Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning
It also does not enjoy SNIS's inherent stability and boundedness.
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- North America > United States > Indiana > Tippecanoe County > West Lafayette (0.04)
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Rapidly for Hyunwoong Department Texas A&M hwchang@stat.tamu.ed
Foranypath , tmix( ) 2 ( )`( ) " log ( 1/ ) + log min Suppose w(y|x)= h (y)KRW(y, x) (x)KRW(x, y) , (4) whereh isabalancing PMTM induced 1 has stationarydistrib .
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