14 citations · 23 across the 4 of their papers we have counts for
5 papers
Avoiding Spurious Local Minima in Deep Quadratic Networks
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 non…
Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications
Abbas Kazemipour
Sparsity is a ubiquitous feature of many real world signals such as natural images and neural spiking activities. Conventional compressed sensing utilizes sparsity to recover low d…
Efficient Estimation of Compressible State-Space Models with Application to Calcium Signal Deconvolution
Abbas Kazemipour, Ji Liu, Patrick Kanold +2
In this paper, we consider linear state-space models with compressible innovations and convergent transition matrices in order to model spatiotemporally sparse transient events. We…
Sampling Requirements for Stable Autoregressive Estimation
Abbas Kazemipour, Sina Miran, Piya Pal +2
We consider the problem of estimating the parameters of a linear univariate autoregressive model with sub-Gaussian innovations from a limited sequence of consecutive observations.…
Robust Estimation of Self-Exciting Generalized Linear Models with Application to Neuronal Modeling
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. We analyze…