Finale Doshi-Velez

Publications (9)0 Total impact

• Article: Correlated Non-Parametric Latent Feature Models

  Finale Doshi-Velez, Zoubin Ghahramani
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  ABSTRACT: We are often interested in explaining data through a set of hidden factors or features. When the number of hidden features is unknown, the Indian Buffet Process (IBP) is a nonparametric latent feature model that does not bound the number of active features in dataset. However, the IBP assumes that all latent features are uncorrelated, making it inadequate for many realworld problems. We introduce a framework for correlated nonparametric feature models, generalising the IBP. We use this framework to generate several specific models and demonstrate applications on realworld datasets.
  05/2012;
• Source

  Available from: mit.edu

  Article: A Bayesian nonparametric approach to modeling motion patterns.

  Joshua Mason Joseph, Finale Doshi-Velez, Albert S. Huang, Nicholas Roy
  Auton. Robots. 01/2011; 31:383-400.
• Source

  Available from: mit.edu

  Conference Proceeding: A Bayesian Nonparametric Approach to Modeling Mobility Patterns.

  Joshua Mason Joseph, Finale Doshi-Velez, Nicholas Roy
  Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010; 01/2010
• Source

  Available from: mit.edu

  Conference Proceeding: Nonparametric Bayesian Approaches for Reinforcement Learning in Partially Observable Domains.

  Finale Doshi-Velez
  Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010; 01/2010
• Source

  Available from: mit.edu

  Conference Proceeding: Nonparametric Bayesian Policy Priors for Reinforcement Learning.

  Finale Doshi-Velez, David Wingate, Nicholas Roy, Joshua B. Tenenbaum
  Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada.; 01/2010
• Source

  Available from: cam.ac.uk

  Conference Proceeding: Correlated Non-Parametric Latent Feature Models.

  Finale Doshi-Velez, Zoubin Ghahramani
  UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009; 01/2009
• Source

  Available from: psu.edu

  Conference Proceeding: The Infinite Partially Observable Markov Decision Process.

  Finale Doshi-Velez
  Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada.; 01/2009
• Source

  Available from: cam.ac.uk

  Conference Proceeding: Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process.

  Finale Doshi-Velez, David Knowles, Shakir Mohamed, Zoubin Ghahramani
  Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada.; 01/2009
• Source

  Available from: psu.edu

  Conference Proceeding: Accelerated sampling for the Indian Buffet Process.

  Finale Doshi-Velez, Zoubin Ghahramani
  Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009; 01/2009