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stat.ML2019
Convex Programming for Estimation in Nonlinear Recurrent Models
Sohail Bahmani, Justin Romberg
We propose a formulation for nonlinear recurrent models that includes simple parametric models of recurrent neural networks as a special case. The proposed formulation leads to a n…
stat.ML2018
Estimation from Non-Linear Observations via Convex Programming with Application to Bilinear Regression
Sohail Bahmani
We propose a computationally efficient estimator, formulated as a convex program, for a broad class of non-linear regression problems that involve difference of convex (DC) non-lin…