Machine Learning Research in Top 10 US Universities

• Princeton University
• Harvard University
• Yale University
• Columbia University
• Stanford University
• University of Chicago
• MIT
• Duke University
• University of Pennsylvania
• California Institue of Technology

Machine Learning @ Top 10 US Universities

1. Princeton University: Machine Learning Department at Princeton University is using some of the following ML techniques to continue their work on areas such as theoretical foundations of machine learning, the experimental study of machine learning algorithms, and the interdisciplinary application of machine learning to other domains, such as biology and information retrieval:
   • Non-parametric Bayesian techniques
   • Probabilistic graphical models
   • Support-vector Machines

   Following are some of the projects that they are currently working upon:

   • Computational Neuroscience
   • Learning with partial feedback
   • Online Convex Optimization
   • Projection free learning
   • Sublinear Optimization
   • WordNet
2. Harvard University – Artificial Intelligence Research Group (AIRG): Following are areas of reasearch focused upon by AIRG:
   • Natural Language Processing
     • Computational Linguistics
     • Statistical Language Processing
     • Discourse
   • Reasoning under Uncertainty
     • Probabilistic Reasoning for Complex Systems
     • Learning Rich Probabilistic Models
     • Effective Algorithms for Game-Theoretic Problems
3. Yale University – Machine Learning
4. Columbia University – Machine Learning Lab: Following is the list of areas of research:
   • Learning with Matchings and Perfect Graphs
     • Learning with Generalized Matchings
     • Matching, MAP Estimation and Message Passing
     • Matchings, Trees and Perfect Graphs
   • Discriminative and Generative Learning

   Their past work have been focused upon machine-learning inspired computer vision systems that that achieved top-performing face recognition performance and obtained an honorable mention from the Pattern Recognition Society. Their collections of research papers could be found on this page.

5. Stanford University – SAIL: Stanford Artificial Intelligence Laboratory (SAIL) has been a center of excellence for Artificial Intelligence research, teaching, theory, and practice for over fifty years. This page provides details of all ML related courses including CS229 by Andrew NG which is one of the most popular ML course of current times. Another related popular course is Statistical Learning Theory.
6. University of Chicago – Artificial Intelligence Lab: Following are some of the current research areas:
   • Data mining for manufacturing and design processes
   • Text summarization
   • Modeling network routing as partially observable markov decision processes
7. MIT – BigData@CSAIL: MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is focused on sole objective of identifying and developing new technologies needed to solve next generation data challenges that will require the ability to scale well beyond what today’s computing platforms, algorithms, and methods can provide. Their current research projects could be found on this page. Following are some of the machine-learning related projects:
   • Interpreting Big Data: Meaningful models for Healthcare, Criminology, And Beyond
   • Could-scale, flexible scaling and factoring of machine learning algorithms: The FlexGP project
   • Machine Learning for Crime-series detection
   • SciDB
   • Uncovering Clinically Relevant Medical Knowledge
   • Predictive analytics for power-grid maintenance
   • Learning online from 25 million images
   • Modeling tax evasion with genetic algorithms
   • Learning connections in financial time series
8. Duke University – Machine Learning: Following are some of the research projects happening at Machine learning department in Duke Univ:
   • Nonparametric Bayesian methods for analysis of high-dimensional data
   • Bayesian prediction and variable selection for complex data
   • Bayesian statistical methodology for complex data
   • Machine learning for Systems Biology
   • Statistical methods for genomics
   • Statistical methods for Cognitive Science
   • Bayesian modeling
9. University of Pennsylvania – Machine Learning: Following some of the research projects happening currently at UPenn:
   • Structured Prediction
   • Online Learning, Sequential Prediction, Regret Minimization
   • Statistical Learning Theory
10. California Institue of Technology– Machine Lab: Machine Learning at Caltech is driven mostly by Prof. Yaser S. Abu-Mustafa. His lectures on different machine learning topics could be found on this lectures page. Alternatively, there is a great collection of videos on machine learning available on videos library page.