Romain Thibaux
Google (United States)(US)
Publications by Year
Research Areas
Bayesian Methods and Mixture Models, Topic Modeling, Energy Efficient Wireless Sensor Networks, Statistical Methods and Inference, Natural Language Processing Techniques
Most-Cited Works
- → Learning accurate, compact, and interpretable tree annotation(2006)809 cited
- → Distributed regression(2004)429 cited
- Hierarchical Beta Processes and the Indian Buffet Process(2007)
- Computing regularization paths for learning multiple kernels(2004)
- → Predicting hardware failure using machine learning(2016)38 cited
- Nonparametric bayesian models for machine learning(2008)