Machine Learning: Theory, Applications, Experiences

A Workshop for Women in Machine Learning

Invited Talks

A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria
Amy Greenwald, Brown University

Clustering High-Dimensional Data
Jennifer Dy, Northeastern University

Recent advances in near-neighbor learning
Maya Gupta, University of Washington

SRL: Statistical Relational Learning
Lise Getoor, University of Maryland, College Park

Modeling and Learning User Preferences for Sets of Objects
Marie desJardins, University of Maryland, Baltimore County

Student Talks

On a Theory of Learning with Similarity Functions
Maria-Florina Balcan, Carnegie Mellon University

Matrix Tile Analysis
Inmar Givoni, University of Toronto

Towards Bayesian Black Box Learning Systems
Jo-Anne Ting, University of Southern California

Efficient Bayesian Algorithms for Clustering
Katherine Heller, Gatsby Unit, University College London

Hidden Process Models
Rebecca Hutchinson, Carnegie Mellon University

Kernels for the Predictive Regression of Physical, Chemical and Biological Properties of Small Molecules
Chloe-Agathe Azencott, University of California, Irvine

Efficient Exploration with Latent Structure
Bethany Leffler, Rutgers University

Efficient Model Learning for Dialog Management
Finale Doshi, MIT

Transfer in the context of Reinforcement Learning
Soumi Ray, University of Maryland, Baltimore County

Student Spotlights

Correcting sample selection bias by unlabeled data
Jiayuan Huang, University of Waterloo

Decision Tree Methods for Finding Reusable MDP Homomorphisms
Alicia Peregrin Wolfe, University of Massachusetts, Amherst

Evaluating a Reputation-based Spam Classification System
Elena Zheleva, University of Maryland, College Park

Simultaneous Team Assignment and Behavior Recognition from Spatio-temporal Agent Traces
Gita Sukthankar, Carnegie Mellon University

An Online Learning System for the Prediction of Electricity Distribution Feeder Failures
Hila Becker, Columbia University

Classification of fMRI Images: An Approach Using Viola-Jones Features
Melissa K Carroll, Princeton University

Fast Online Classification with Support Vector Machines
Seyda Ertekin, Penn State University