4 papers
The Optimization Landscape of Carathéodory Decomposition of Toeplitz Covariances
Daniel Busbib, Ami Wiesel
Toeplitz covariance estimation is a classical problem in statistical signal processing, yet the geometry of the Gaussian maximum-likelihood objective remains only partially underst…
On the normalized signal to noise ratio in covariance estimation
Tzvi Diskin, Ami Wiesel
We address the Normalized Signal to Noise Ratio (NSNR) metric defined in the seminal paper by Reed, Mallett and Brennan on adaptive detection. The setting is detection of a target…
Learning minimal volume uncertainty ellipsoids
Itai Alon, David Arnon, Ami Wiesel
We consider the problem of learning uncertainty regions for parameter estimation problems. The regions are ellipsoids that minimize the average volumes subject to a prescribed cove…
On the Optimization Landscape of Maximum Mean Discrepancy
Itai Alon, Amir Globerson, Ami Wiesel
Generative models have been successfully used for generating realistic signals. Because the likelihood function is typically intractable in most of these models, the common practic…