50 citations · 97 across the 10 of their papers we have counts for
4 papers · 1 filter
Nonlinear Kalman Filtering with Reparametrization Gradients
San Gultekin, Brendan Kitts, Aaron Flores +1
We introduce a novel nonlinear Kalman filter that utilizes reparametrization gradients. The widely used parametric approximation is based on a jointly Gaussian assumption of the st…
Risk Bounds for Low Cost Bipartite Ranking
San Gultekin, John Paisley
Bipartite ranking is an important supervised learning problem; however, unlike regression or classification, it has a quadratic dependence on the number of samples. To circumvent t…
MBA: Mini-Batch AUC Optimization
San Gultekin, Avishek Saha, Adwait Ratnaparkhi +1
Area under the receiver operating characteristics curve (AUC) is an important metric for a wide range of signal processing and machine learning problems, and scalable methods for o…
Online Forecasting Matrix Factorization
San Gultekin, John Paisley
In this paper the problem of forecasting high dimensional time series is considered. Such time series can be modeled as matrices where each column denotes a measurement. In additio…