Low Rank Tensor Methods in High Dimensional Data Analysis (More Info)
Quantitation in Colocalization Analysis: Beyond “Red+Green=Yellow”
(Slides; More Info)
Distance Shrinkage and Euclidean Embedding
(Slides; Reference)
Optimal Detection of Sparse Signal Segments
(Slides; Reference)
A Statistical Explanation to Markowitz Optimization Enigma
(Slides; Reference)
Sparsity in Multiple Kernel Learning (Slides; Reference)
High Dimensional Covariance Matrix Estimation (More Info)
Graphical Lasso/Garrote and Its Solution Path (Slides)
Sparse Inverse Covariance Matrix Estimation (Slides)
Adaptive Estimation of Bandable Covariance Matrices (Slides)
Covariance Estimation on a Graph (Slides)