163 citations · 704 across the 74 of their papers we have counts for
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A Proximal Method for Composite Optimization with Smooth and Convex Components
Samet Uzun, Dayou Luo, Behçet Açıkmeşe +1
We introduce prox-convex for minimizing , where and are convex, and are smooth, and each component of is convex (possibly nonsmooth).…
Optimization Outperforms Unscented Techniques for Nonlinear Smoothing
Payton Howell, Aleksandr Aravkin
We review optimization-based approaches to smoothing nonlinear dynamical systems. These approaches leverage the fact that the Extended Kalman Filter and corresponding smoother can…
A Stochastic Record-Value Approach to Global Simulation Optimization
Rohan Rele, Zelda Zabinsky, Giulia Pedrielli +1
Black-box optimization is ubiquitous in machine learning, operations research and engineering simulation. Black-box optimization algorithms typically do not assume structural infor…
A Levenberg-Marquardt Method for Nonsmooth Regularized Least Squares
Aleksandr Y. Aravkin, Robert Baraldi, Dominique Orban
We develop a Levenberg-Marquardt method for minimizing the sum of a smooth nonlinear least-squar es term and a nonsmooth term . Both and $…
Theoretical Advances in Current Estimation and Navigation from a Glider-Based Acoustic Doppler Current Profiler (ADCP)
Jacob Stevens-Haas, Sarah E. Webster, Aleksandr Aravkin
We examine acoustic Doppler current profiler (ADCP) measurements from underwater gliders to determine glider position, glider velocity, and subsurface current. ADCPs, however, do n…
l1-Norm Minimization with Regula Falsi Type Root Finding Methods
Metin Vural, Aleksandr Y. Aravkin, Sławomir Stan'czak
Sparse level-set formulations allow practitioners to find the minimum 1-norm solution subject to likelihood constraints. Prior art requires this constraint to be convex. In this le…