Applied Statistics Workshop (Gov3009)

Date: 

Wednesday, April 29, 2015, 12:00pm to 1:30pm

Location: 

CGIS Knaffel 1737 Cambridge St, Cambridge Room K354
The Applied Statistics Workshop (Gov 3009) meets all academic year, Wednesdays, 12pm-1:30pm, in CGIS K354. This workshop is a forum for advanced graduate students, faculty, and visiting scholars to present and discuss methodological or empirical work in progress in an interdisciplinary setting. The workshop features a tour of Harvard's statistical innovations and applications with weekly stops in different fields and disciplines and includes occasional presentations by invited speakers. There is a free lunch provided. Presentation given by Finale Doshi-Velez Title: Bayesian Or-of-And Models for Interpretable Classification Abstract: Interpretability is an important factor for models to be used and trusted in many applications. Disjunctive normal forms, also known as or-of-and models, are models with classification rules of the form "Predict True if (A and B) or (A and C) or D." They are an appealing form of classifier because one can easily trace how a classification decision was made, and has some basis in human decision-making. In this talk, I will talk about a Bayesian approach to learning or-of-and models and describe an application to context-aware recommender systems. This is joint work with Tong Wang and Cynthia Rudin