Search Results for author: Abbas Kazemipour

Found 4 papers, 2 papers with code

Avoiding Spurious Local Minima in Deep Quadratic Networks

1 code implementation31 Dec 2019 Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann

Despite their practical success, a theoretical understanding of the loss landscape of neural networks has proven challenging due to the high-dimensional, non-convex, and highly nonlinear structure of such models.

Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution

no code implementations20 Oct 2016 Abbas Kazemipour, Ji Liu, Patrick Kanold, Min Wu, Behtash Babadi

In this paper, we consider linear state-space models with compressible innovations and convergent transition matrices in order to model spatiotemporally sparse transient events.

Sampling Requirements for Stable Autoregressive Estimation

no code implementations4 May 2016 Abbas Kazemipour, Sina Miran, Piya Pal, Behtash Babadi, Min Wu

Assuming that the parameters are compressible, we analyze the performance of the $\ell_1$-regularized least squares as well as a greedy estimator of the parameters and characterize the sampling trade-offs required for stable recovery in the non-asymptotic regime.

Model Selection

Robust Estimation of Self-Exciting Generalized Linear Models with Application to Neuronal Modeling

1 code implementation14 Jul 2015 Abbas Kazemipour, Min Wu, Behtash Babadi

We consider the problem of estimating self-exciting generalized linear models from limited binary observations, where the history of the process serves as the covariate.

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