Search for tag: "statistical data types"

PARADIM JHU Data Meeting

From  David Botsch 98 plays

ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank Models

Principal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…

From  E. Cornelius 5 plays

ORIE Colloquium on 2/4/2014 - John Duchi: Machine Learning: a Discipline of Resource Tradeoffs

Tuesday, February 4, 2014 at 4:15pm Upson Hall, B17 ORIE Colloquium: John Duchi (UC Berkeley) - Machine Learning: a Discipline of Resource Tradeoffs Joint colloquium with Computer Science. How…

From  E. Cornelius 88 plays

ORIE Colloquium, on 4/8/2014 - Cynthia Rudin: Methods for Interpretable Machine Learning

Tuesday, April 8, 2014, 253 Rhodes Hall Abstract: It is extremely important in many application domains to have transparency in predictive modeling. Domain experts do not tend to prefer "black…

From  E. Cornelius 33 plays

ORIE Colloquium, 2014-12-19 - Nathan Kallus: From Predictive to Prescriptive Analytics

Many operational problems in data-rich environments can be characterized by three primitives: data on uncertain quantities of interest such as simultaneous demands, concurrent auxiliary data such as…

From  E. Cornelius 191 plays

CAM Colloquium: Peter Frazier - Optimal Learning for Molecular Discovery

Scientists use laboratory experiments to search for molecules with desirable properties, e.g., that make efficient solar cells; or that cure cancer. The success of such a search hinges on making…

From  E. Cornelius 9 plays

ORIE Colloquium, 2013-02-05 - Guy Lebanon: Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity

ORIE Colloquium: Guy Lebanon (Georgia Tech) - Stochastic m-Estimators and the Tradeoff Between Statistical Accuracy and Computational Complexity Tuesday, February 5, 2013 at 4:15pm Frank H. T.…

From  E. Cornelius 20 plays

ORIE Colloquium on 9/20/2012 - Stephen Boyd: Convex Optimization: From Embedded Real-Time to Large-Scale Distributed

Stephen Boyd (Stanford University) - Convex Optimization: From Embedded Real-Time to Large-Scale Distributed Thursday, September 20, 2012 at 3:00pm Upson Hall, B17 Convex optimization has emerged…

From  E. Cornelius 70 plays

CAM colloquium, 2014-10-31 - Peter Frazier: Optimal Learning for Molecular Discovery

From  E. Cornelius 5 plays