Edwin V. Bonilla

Marcela Zuluaga, Edwin V. Bonilla, Nigel P. Topham: Predicting best design trade-offs: A case study in processor customization. DATE 2012: 1030-1035

Edwin V. Bonilla, Antonio Robles-Kelly: Discriminative Probabilistic Prototype Learning. ICML 2012

Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin V. Bonilla, Ehsan Abbasnejad, Nicolás Della Penna: New objective functions for social collaborative filtering. WWW 2012: 859-868

Edwin V. Bonilla, Antonio Robles-Kelly: Discriminative Probabilistic Prototype Learning. CoRR abs/1206.4686 (2012)

Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon, Zbigniew Chamski, Olivier Temam, Mircea Namolaru, Elad Yom-Tov, Bilha Mendelson, Ayal Zaks, Eric Courtois, François Bodin, Phil Barnard, Elton Ashton, Edwin V. Bonilla, John Thomson, Christopher K. I. Williams, Michael F. P. O'Boyle: Milepost GCC: Machine Learning Enabled Self-tuning Compiler. International Journal of Parallel Programming 39(3): 296-327 (2011)

David Newman, Edwin V. Bonilla, Wray L. Buntine: Improving Topic Coherence with Regularized Topic Models. NIPS 2011: 496-504

Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla, Michael F. P. O'Boyle: A Predictive Model for Dynamic Microarchitectural Adaptivity Control. MICRO 2010: 485-496

Edwin V. Bonilla, Shengbo Guo, Scott Sanner: Gaussian Process Preference Elicitation. NIPS 2010: 262-270

Hugh Leather, Edwin V. Bonilla, Michael F. P. O'Boyle: Automatic Feature Generation for Machine Learning Based Optimizing Compilation. CGO 2009: 81-91

Christophe Dubach, Timothy M. Jones, Edwin V. Bonilla, Grigori Fursin, Michael F. P. O'Boyle: Portable compiler optimisation across embedded programs and microarchitectures using machine learning. MICRO 2009: 78-88

Edwin V. Bonilla, Felix V. Agakov, Christopher K. I. Williams: Kernel Multi-task Learning using Task-specific Features. Journal of Machine Learning Research - Proceedings Track 2: 43-50 (2007)

John Cavazos, Grigori Fursin, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Olivier Temam: Rapidly Selecting Good Compiler Optimizations using Performance Counters. CGO 2007: 185-197

Edwin V. Bonilla, Kian Ming Adam Chai, Christopher K. I. Williams: Multi-task Gaussian Process Prediction. NIPS 2007

John Cavazos, Christophe Dubach, Felix V. Agakov, Edwin V. Bonilla, Michael F. P. O'Boyle, Grigori Fursin, Olivier Temam: Automatic performance model construction for the fast software exploration of new hardware designs. CASES 2006: 24-34

Felix V. Agakov, Edwin V. Bonilla, John Cavazos, Björn Franke, Grigori Fursin, Michael F. P. O'Boyle, John Thomson, Marc Toussaint, Christopher K. I. Williams: Using Machine Learning to Focus Iterative Optimization. CGO 2006: 295-305

Edwin V. Bonilla, Christopher K. I. Williams, Felix V. Agakov, John Cavazos, John Thomson, Michael F. P. O'Boyle: Predictive search distributions. ICML 2006: 121-128