Scalable Bayesian reduced-order models for high-dimensional multiscale dynamical systems

Scaled Sparse Linear Regression

Security Analysis of Online Centroid Anomaly Detection

Self Organizing Map algorithm and distortion measure

Semi-Supervised learning with Density-Ratio Estimation

Semi-supervised logistic discrimination via labeled data and unlabeled data from different sampling distributions

Semi-Supervised Single- and Multi-Domain Regression with Multi-Domain Training

Separating populations with wide data: A spectral analysis

Sharp Convergence Rate and Support Consistency of Multiple Kernel Learning with Sparse and Dense Regularization

Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains

Simulation-based optimal Bayesian experimental design for nonlinear systems

Source Separation and Clustering of Phase-Locked Subspaces: Derivations and Proofs

Sparse and Unique Nonnegative Matrix Factorization Through Data Preprocessing

Sparse Bayesian Methods for Low-Rank Matrix Estimation

Sparse Canonical Correlation Analysis

Sparse Convolved Multiple Output Gaussian Processes

Sparse Empirical Bayes Analysis (SEBA)

Sparse Estimation using Bayesian Hierarchical Prior Modeling for Real and Complex Models

Sparse Group Restricted Boltzmann Machines

Sparse Inverse Covariance Estimation via an Adaptive Gradient-Based Method