Online Program Home
My Program

CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details

577 * ! Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 110
Statistical Methods for Interpreting Machine Learning Algorithms - with Implications for Targeting — Topic Contributed Papers
Section on Statistical Learning and Data Science
Organizer(s): DeDe Paul, AT&T Labs Research
Chair(s): Cheryl Flynn, AT&T Labs Research
2:05 PM On the Art and Science of Machine Learning Explanations
Patrick Hall,
2:25 PM An Algorithm for Removing Sensitive Information

James Johndrow, Stanford University; Kristian Lum, Human Rights Data Analysis Group
2:45 PM Local, Model-Agnostic Explanations of Machine Learning Predictions
Sameer Singh, University of California, Irvine
3:05 PM Can We Compute an Optimal Sparse Decision Tree?

Cynthia Rudin, Duke University; Elaine Angelino, Berkeley; Nicholas Larus-Stone, Cambridge; Margo Seltzer, Harvard; Daniel Alabi, Harvard
3:25 PM Beyond Feature Attribution: Quantitative Concept-Based Interpretability with TCAV

Been Kim, Google Brain
3:45 PM Floor Discussion