1.7k citations · 3.3k across the 10 of their papers we have counts for
10 papers
On the Convergence of Bound Optimization Algorithms
Ruslan R Salakhutdinov, Sam T Roweis, Zoubin Ghahramani
Many practitioners who use the EM algorithm complain that it is sometimes slow. When does this happen, and what can be done about it? In this paper, we study the general class of b…
Collaborative Filtering and the Missing at Random Assumption
Benjamin Marlin, Richard S. Zemel, Sam Roweis +1
Rating prediction is an important application, and a popular research topic in collaborative filtering. However, both the validity of learning algorithms, and the validity of stand…
Astrometry.net: Blind astrometric calibration of arbitrary astronomical images
Dustin Lang, David W. Hogg, Keir Mierle +2
We have built a reliable and robust system that takes as input an astronomical image, and returns as output the pointing, scale, and orientation of that image (the astrometric cali…
The velocity distribution of nearby stars from Hipparcos data I. The significance of the moving groups
Jo Bovy, David W. Hogg, Sam T. Roweis
We present a three-dimensional reconstruction of the velocity distribution of nearby stars (<~ 100 pc) using a maximum likelihood density estimation technique applied to the two-di…
Extreme deconvolution: Inferring complete distribution functions from noisy, heterogeneous and incomplete observations
Jo Bovy, David W. Hogg, Sam T. Roweis
We generalize the well-known mixtures of Gaussians approach to density estimation and the accompanying Expectation--Maximization technique for finding the maximum likelihood parame…
Blind Date: Using proper motions to determine the ages of historical images
Jonathan T. Barron, David W. Hogg, Dustin Lang +1
Astrometric calibration is based on patterns of cataloged stars and therefore effectively assumes a particular epoch, which can be substantially incorrect for historical images. Wi…