Marrying Graphical Models & Deep Learning
The Asymptotics of Semi-Supervised Learning in Discriminative Probabilistic Models
Generative and Discriminative Models in Statistical Parsing
Constrained Logistic Regression for Discriminative Pattern Mining
Language Processing
Machine learning techniques for predicting complications and evaluating drugs efficacy
On Architectural Issues of Neural Networks in Speech Recognition
An Asymptotic Analysis of Generative, Discriminative, and Pseudolikelihood Estimators
Embedding Learning for Declarative Memories
Improved Regret Bounds for Undiscounted Continuous Reinforcement Learning