Workshops

Convex Sets, Conic Matrix Factorizations and Conic Rank Lower Bounds

Proximal Stochastic Dual Coordinate Ascent

Crowd-Sourcing Epidemic Detection

Rare Probability Estimation

What is the probability that Munzer will see something that does not exist? A Bayesian Perspective

Using Multiple Kernel-based Regularization for Linear System Identification

Moments Based Relaxations in Systems Identification and Machine Learning

Computational and Statistical Tradeoffs via Convex Relaxation

Convergence of a Randomized Sampling Method for Identifying a Subspace of R^n.

Proximal-Gradient Homotopy Methods for Sparse Optimization

Towards a Mathematical Theory of Super-Resolution

Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model

Stochastic Optimization and Sparse Statistical Recovery: An Optimal Algorithm in High Dimensions

Structure and Randomness in Large Informatics Graphs

Tightness of Convex Relaxations to Sparsity and Rank

Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation

Sharp Recovery Bounds for Convex Demixing with Applications

Noisy Matrix Decomposition via Convex Relaxation

Phase Recovery for Sparse Signals

Synthesis and Analysis Type Methods for Signal Reconstruction from Random Observations

Simultaneously Structured Models with Application to Sparse and Low-rank Matrices