1 citations · 1 across the 2 of their papers we have counts for
3 papers · 1 filter
Lambda Learner: Fast Incremental Learning on Data Streams
Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee +5
One of the most well-established applications of machine learning is in deciding what content to show website visitors. When observation data comes from high-velocity, user-generat…
Towards Deep and Representation Learning for Talent Search at LinkedIn
Rohan Ramanath, Hakan Inan, Gungor Polatkan +6
Talent search and recommendation systems at LinkedIn strive to match the potential candidates to the hiring needs of a recruiter or a hiring manager expressed in terms of a search…
A Bayesian Nonparametric Approach to Image Super-resolution
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin +2
Super-resolution methods form high-resolution images from low-resolution images. In this paper, we develop a new Bayesian nonparametric model for super-resolution. Our method uses…