Selected Talks

Low Rank Tensor Methods in High Dimensional Data Analysis (More Info)

• Tensor PCA (Slides)

• Tensor Completion (Slides)

• Tensor Regression (Slides)

• Tensor Sparsification (Slides)

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)