Machine Learning and Intelligence Group

The Machine Learning and Intelligence group performs research in machine learning, information retrieval, data mining, computational linguistics, and human-computer interaction. We work on new algorithms, and with large datasets, with the overall goal of advancing the science and enhancing the user's experience.

 

 

Chris Burges (Manager)

Machine learning algorithms, optimization, machine reading, ranking for web search, dimension reduction, audio fingerprinting

 

Silviu-Petru Cucerzan

Natural language processing, information extraction from large text collections, semantic modeling, information retrieval 

Ofer Dekel

Supervised learning algorithms, learning theory, online prediction, optimization, building large-scale machine learning systems, web search

Ran Gilad-Bachrach

Learning theory, hypothesis testing, continuous sensing, machine learning engineering principles

 

Lihong Li

Reinforcement learning, multi-armed bandit, online learning, recommendation, computational advertising 

 

Matthew Richardson

Web search, online advertising, query log analysis, online privacy, community question answering, social networks, Markov logic, collective knowledge, crowdsourcing 

 

Dengyong Zhou

Supervised learning, algorithmic crowdsourcing (human computing), learning representations, large-scale learning, non-convex learning, probabilistic modeling, recommender systems, web search