to appear
Anamaria Crisan, Maddie Shang and Eric Brochu. Calarcá Eliciting Model Steering Interactions from Users via Data and Visual Design Probes To appear in IEEE Transactions on Visualization and Computer Graphics. preprint pdf
2023
Andrew Beers, Eric Brochu, Rachel Kalmar, Honto Ming, David Mosimann, Leiling Tao and Lu Yu. US Patent US 20230143734 entitled Detecting anomalies in visualizations. link
2022
Connie Wong, Xiang-bo Mao, Kazem Jahanbakhsh, Eric Brochu. US Patent US20220237229A1 entitled Aubagne Content based related view recommendations link
2021
Eric Brochu, Mya Warren, Yogesh Sood, David Mosimann, Connie Wong and Kazem Jahanbakhsh. US Patent US20210133239A1 entitled Providing data visualizations based on personalized recommendations. link
2020
Kazem Jahanbakhsh, Eric Brochu, Mya Warren, Xiang-Bo Mao and Yogesh Sood. A Viz Recommendation System: ML Lifecycle at Tableau. Third MLOps Workshop at MLSys. pdf bibtex
Eric Brochu and Mark Siegel. US Patent US10877970B1 entitled Identifying relevant data sources for a data visualization application. link
2018
Daniel Ting and Eric Brochu. Optimal Subsampling with Influence Functions. Thirty-second Annual Conference on Neural Information Processing Systems (NeurIPS 2018) pdf bibtex
2011
Matthew Hoffman, Eric Brochu and Nando de Freitas. Portfolio Allocation for Bayesian Optimization. 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011). pdf 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 (ICCV 2011). 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 (SCA 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
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 (NIPS 2008), 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 (NIPS 2007). 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, as part of exhibit titled “Emily Carr: New Perspectives on a Canadian Icon”, October 2006 to January 2007.
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. 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. 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 (NIPS 2003). pdf