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stat.ML2020★ 1 cited
Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood
Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
Fitting a graphical model to a collection of random variables given sample observations is a challenging task if the observed variables are influenced by latent variables, which ca…
stat.ML2015★ 11 cited
Optimal Low-Rank Tensor Recovery from Separable Measurements: Four Contractions Suffice
Parikshit Shah, Nikhil Rao, Gongguo Tang
Tensors play a central role in many modern machine learning and signal processing applications. In such applications, the target tensor is usually of low rank, i.e., can be express…