Lambda Learner: Fast Incremental Learning on Data Streams

1 code implementation • 11 Oct 2020 • Rohan Ramanath, Konstantin Salomatin, Jeffrey D. Gee, Kirill Talanine, Onkar Dalal, Gungor Polatkan, Sara Smoot, Deepak Kumar

One of the most well-established applications of machine learning is in deciding what content to show website visitors.

BIG-bench Machine Learning Incremental Learning

Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection

no code implementations • NeurIPS 2014 • Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam

In direct contrast to the parallel work in the Gaussian setting however, this new convex pseudo-likelihood framework has not leveraged the extensive array of methods that have been proposed in the machine learning literature for convex optimization.

BIG-bench Machine Learning Model Selection

G-AMA: Sparse Gaussian graphical model estimation via alternating minimization

no code implementations • 13 May 2014 • Onkar Dalal, Bala Rajaratnam

Over and above estimating a sparse inverse covariance matrix, we also illustrate how to (1) incorporate constraints on the (bivariate) correlations and, (2) incorporate equality (equisparsity) or linear constraints between individual inverse covariance elements.