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Found 6 papers, 0 papers with code
Generative methods for sampling transition paths in molecular dynamics
Molecular systems often remain trapped for long times around some local minimum of the potential energy function, before switching to another one -- a behavior known as metastability.
Inference of Multiscale Gaussian Graphical Model
In a high-dimensional setting, when the number of variables exceeds the number of observations by several orders of magnitude, the estimation of GGM is a difficult and unstable optimization problem.
Federated-EM with heterogeneity mitigation and variance reduction
The Expectation Maximization (EM) algorithm is the default algorithm for inference in latent variable models.
Federated Expectation Maximization with heterogeneity mitigation and variance reduction
The Expectation Maximization (EM) algorithm is the default algorithm for inference in latent variable models.
Outliers Detection in Networks with Missing Links
The proposed method is statistically sound: we prove that, under fairly general assumptions, our algorithm exactly detects the outliers, and achieves the best known error for the prediction of missing links with polynomial computation cost.
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
In this paper, we introduce a low-rank interaction and sparse additive effects (LORIS) model which combines matrix regression on a dictionary and low-rank design, to estimate main effects and interactions simultaneously.
