Presentations & Posters

On the Partial Convexification of the Low-Rank Spectral Optimization

On the Partial Convexification for Low-Rank Spectral Optimization: Rank Bounds and Algorithms

On the Exactness of Dantzig-Wolfe Relaxation for Rank-Constrained Optimization Problems

D-optimal Data Fusion: Exact and Approximation Algorithms

Beyond Symmetry: Best Submatrix Selection for the Sparse Truncated SVD

Exact and Approximation Algorithms for Sparse PCA 

Best Principal Submatrix Selection for the Maximum Entropy Sampling Problem: Scalable Algorithms and Performance Guarantees