2024
PATENT Shashank Harinath, Gene Becker, Subha Melapalayam, Eric Brochu, Claire Cheng, Mario Rodriguez, Prithvi Krishnan Padmanabhan, Kathy Baxter. US Patent US18410722 (pending) entitled Trust Layer for Large Language Models.
2023
JOURNAL ARTICLE Anamaria Crisan, Maddie Shang and Eric Brochu. Aubagne Eliciting Model Steering Interactions from Users via Data and Visual Design Probes IEEE Transactions on Visualization and Computer Graphics. October 2023.pdf
PATENT 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
PATENT Connie Wong, Xiang-bo Mao, Kazem Jahanbakhsh, Eric Brochu. US Patent US20220237229A1 entitled Content based related view recommendations link
PATENT Eric Brochu, Anamaria Crisan, Meng Ming Shang. US Patent US17574491 (pending) entitled Refining Machine Learning Models for Visual Analysis Based on Direct User Manipulation of Visual Encodings.
2021
PATENT 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
PATENT Andrew Beers, Rachel Calmer, Monto Ming, David Mosimann, Angela Tao, Lu Yu, Eric Brochu. US Patent US63277563 entitled Detecting and Recommending Temporal Anomalies in Monitored Dashboard Data.
2020
CONFERENCE PAPER 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
PATENT Eric Brochu and Mark Siegel. US Patent US10877970B1 entitled Identifying relevant data sources for a data visualization application. link
2018
CONFERENCE PAPER Daniel Ting and Eric Brochu. Optimal Subsampling with Influence Functions. Thirty-second Annual Conference on Neural Information Processing Systems (NeurIPS 2018) pdf bibtex
2011
CONFERENCE PAPER Matthew Hoffman, Eric Brochu and Nando de Freitas. Portfolio Allocation for Bayesian Optimization. 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011). pdf bibtex
CONFERENCE PAPER 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
THESIS Eric Brochu. Interactive Bayesian Optimization: Learning Parameters for Graphics and Animation. PhD thesis. University of British Columbia, December 2010. pdf bibtex Python code
MISC 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
CONFERENCE PAPER 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
MISC Eric Brochu, Matt Hoffman and Nando de Freitas. Hedging Strategies for Bayesian Optimization. eprint arXiv:1009.5419, arXiv.org, September 2010. pdf bibtex
2009
JOURNAL ARTICLE 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
CONFERENCE PAPER 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
PATENT Ali Davar, Mike Klaas and Eric Brochu. US Patent 20080262986 entitled Method for training a classifier. Continuation on US Patent 20070156615. pdf
2007
CONFERENCE PAPER 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
PATENT Ali Davar, Mike Klaas and Eric Brochu. US Patent 20070156615 entitled Method for training a classifier. pdf
CONFERENCE PAPER 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
MISC 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
THESIS Eric Brochu. milq. Master’s thesis. University of British Columbia.pdf slides bibtex
MISC 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
MISC Eric Brochu. Frail and Realistic: Learning from Humans. Simulation and Other Re-enactments: Modeling the Unseen. Presentation, Banff New Media Institute summit. bibtex
2003
CONFERENCE PAPER 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
CONFERENCE PAPER 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
CONFERENCE PAPER 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
MISC 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
CONFERENCE PAPER 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