527 citations · 3.5k across the 52 of their papers we have counts for
5 papers · 2 filters
Sparse Multinomial Logistic Regression via Approximate Message Passing
Evan Byrne, Philip Schniter
For the problem of multi-class linear classification and feature selection, we propose approximate message passing approaches to sparse multinomial logistic regression (MLR). First…
A Survey of Stochastic Simulation and Optimization Methods in Signal Processing
Marcelo Pereyra, Philip Schniter, Emilie Chouzenoux +4
Modern signal processing (SP) methods rely very heavily on probability and statistics to solve challenging SP problems. SP methods are now expected to deal with ever more complex m…
Iteratively Reweighted Approaches to Sparse Composite Regularization
Rizwan Ahmad, Philip Schniter
Motivated by the observation that a given signal admits sparse representations in multiple dictionaries but with varying levels of sparsity across…
Hyperspectral Unmixing via Turbo Bilinear Approximate Message Passing
Jeremy Vila, Philip Schniter, Joseph Meola
The goal of hyperspectral unmixing is to decompose an electromagnetic spectral dataset measured over M spectral bands and T pixels into N constituent material spectra (or "end-memb…
Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization
Sundeep Rangan, Alyson K. Fletcher, Philip Schniter +1
Generalized Linear Models (GLMs), where a random vector is observed through a noisy, possibly nonlinear, function of a linear transform arise…