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Publications

Including patents, theses and installations.

2017

Daniel Ting and Eric Brochu. Optimal Sub-sampling with Influence Functions. eprint arXiv:1709.01716, arXiv.org, September 2017. bibtex pdf

2011

Matthew Hoffman, Eric Brochu and Nando de Freitas. Portfolio Allocation for Bayesian Optimization. 27th Conference on Uncertainty in Artificial Intelligence (UAI2011). bibtex

Kenji Okuma, Eric Brochu, David G. Lowe and James J. Little. An Adaptive Interface for Active Localization. International Conference on Computer Vision Theory and Applications. project homepage pdf bibtex

2010

Eric Brochu. Interactive Bayesian Optimization: Learning Parameters for Graphics and Animation. PhD thesis. University of British Columbia, December 2010. pdf bibtex Python code

Eric Brochu, Vlad M. Cora and Nando de Freitas. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning. eprint arXiv:1012.2599, arXiv.org, December 2010. pdf bibtex

Eric Brochu, Tyson Brochu and Nando de Freitas. A Bayesian Interactive Optimization Approach to Procedural Animation Design. ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2010.video pdf bibtex

Eric Brochu, Matt Hoffman and Nando de Freitas. Hedging Strategies for Bayesian Optimization. eprint arXiv:1009.5419, arXiv.org, September 2010. pdf bibtex

2009

Ruben Martinez-Cantin, Nando de Freitas, Eric Brochu, Jose Castellanos and Arnaud Doucet. A Bayesian Exploration-Exploitation Approach for Optimal Online Sensing and Planning with a Visually Guided Mobile Robot. Autonomous Robots, 27(2):93–103. pdf bibtex

Eric Brochu, Vlad M. Cora and Nando de Freitas. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning. Technical Report TR-2009-023. University of British Columbia, Department of Computer Science.

    Earlier version of the 2010 tutorial (above, with same title). Please use the arXiv version, this one is obsolete.

2008

Nando de Freitas, Ali Davar, Eric Brochu, Mike Klaas and Kevin Leyton-Brown. Worio: A Web-Scale Machine Learning System. Advances in Neural Information Processing Systems 21, Demonstration Session. abstract

Ali Davar, Mike Klaas and Eric Brochu. US Patent 20080262986 entitled Method for training a classifier. Continuation on US Patent 20070156615. pdf

2007

Eric Brochu, Nando de Freitas and Abhijeet Ghosh. Active Preference Learning with Discrete Choice Data. Advances in Neural Information Processing Systems 20. pdf bibtex

Ali Davar, Mike Klaas and Eric Brochu. US Patent 20070156615 entitled Method for training a classifier. pdf

Eric Brochu, Abhijeet Ghosh and Nando de Freitas. Preference Galleries for Material Design. ACM SIGGRAPH Sketch.
sketch pdf poster pdf bibtex

    Awarded First Place at the ACM SIGGRAPH Student Research Competition.

2006

Eric Brochu. VAGMMNT: A Multimedia Navigation Tool. Multimedia Installation. Vancouver Art Gallery, exhibit titled “Emily Carr: New Perspectives on a Canadian Icon”, October 2006 to January 2007. online archive video of CTV News report

2004

Eric Brochu. milq. Master’s thesis. University of British Columbia.pdf slides bibtex

Eric Brochu, Nando de Freitas and Kejie Bao. Owed to a Martingale: A Fast Bayesian On-Line Algorithm for Multinomial Models. UBC Technical Report TR-2004-8. pdf bibtex

Eric Brochu. Frail and Realistic: Learning from Humans. Simulation and Other Re-enactments: Modeling the Unseen. Presentation, Banff New Media Institute summit.slides bibtex

2003

Asher Lipson, Hendrik Kueck, Eric Brochu and Nando de Freitas. Machine Learning for Computer Games. First International Digital Games Research Conference (DiGRA 2003). pdf bibtex

Asher Lipson, Eric Brochu and Nando de Freitas. The ‘Touring’ Test: Human-Like Play in Computer Games. Snowbird Learning Workshop (Learning@Snowbird 2003). Refereed poster presentation. video bibtex

Eric Brochu, Nando de Freitas and Kejie Bao. The Sound of an Album Cover: Probabilistic Multimedia and IR. Ninth Annual Workshop on Artificial Intelligence and Statistics (AI-Stats 2003). pdf bibtex

Nando de Freitas, Eric Brochu, Kobus Barnard, Pinar Duygulu, and David Forsyth. Bayesian Models for Massive Multimedia Databases: A New Frontier. UBC Technical Report TR-2003-005. pdf bibtex

Eric Brochu and Nando de Freitas. “Name That Song!”: A Probabilistic Approach to Querying on Music and Text. Advances in Neural Information Processing Systems 15. ps