163 citations · 704 across the 74 of their papers we have counts for
6 papers · 2 filters
Generalized Kalman Smoothing: Modeling and Algorithms
A. Y. Aravkin, J. V. Burke, L. Ljung +2
State-space smoothing has found many applications in science and engineering. Under linear and Gaussian assumptions, smoothed estimates can be obtained using efficient recursions,…
Total-variation regularization strategies in full-waveform inversion
Ernie Esser, Lluis Guasch, Tristan van Leeuwen +2
We propose an extended full-waveform inversion formulation that includes general convex constraints on the model. Though the full problem is highly nonconvex, the overarching optim…
Beating level-set methods for 3D seismic data interpolation: a primal-dual alternating approach
Rajiv Kumar, Oscar López, Damek Davis +2
Acquisition cost is a crucial bottleneck for seismic workflows, and low-rank formulations for data interpolation allow practitioners to `fill in' data volumes from critically subsa…
Efficient quadratic penalization through the partial minimization technique
Aleksandr Y. Aravkin, Dmitriy Drusvyatskiy, Tristan van Leeuwen
Common computational problems, such as parameter estimation in dynamic models and PDE constrained optimization, require data fitting over a set of auxiliary parameters subject to p…
Level-set methods for convex optimization
Aleksandr Y. Aravkin, James V. Burke, Dmitriy Drusvyatskiy +2
Convex optimization problems arising in applications often have favorable objective functions and complicated constraints, thereby precluding first-order methods from being immedia…
Non-smooth Variable Projection
Tristan van Leeuwen, Aleksandr Aravkin
Variable projection solves structured optimization problems by completely minimizing over a subset of the variables while iterating over the remaining variables. Over the last 30 y…