Nando de Freitas : Publications
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@inproceedings{Moczulski:2016,
title = "{ACDC: A} Structured Efficient Linear Layer",
author = "Marcin Moczulski and Misha Denil and Jeremy Appleyard and Nando de Freitas",
year = "2016",
booktitle = "International Conference on Learning Representations (ICLR)",
url = "http://arxiv.org/pdf/1511.05946v3",
}
@inproceedings{Wang:2015rembo,
title = "Bayesian Optimization in a Billion Dimensions via Random Embeddings",
author = "Ziyu Wang and Masrour Zoghi and Frank Hutter and David Matheson and Nando de Freitas",
year = "2016",
booktitle = "Journal of Artificial Intelligence Research",
pages = "361--387",
url = "http://jair.org/media/4806/live-4806-9131-jair.pdf",
volume = "55",
doi = "10.1613/jair.4806",
}
@inproceedings{Reed:2016,
title = "Neural Programmer-Interpreters",
author = "Scott Reed and Nando de Freitas",
year = "2016",
booktitle = "International Conference on Learning Representations (ICLR)",
url = "http://arxiv.org/pdf/1511.06279v3",
}
@techreport{Foerster:2016,
title = "Learning to Communicate to Solve Riddles with Deep Distributed Recurrent Q-Networks",
author = "Jakob N. Foerster and Yannis M. Assael and Nando de Freitas and Shimon Whiteson",
year = "2016",
number = "arXiv:1602.02672",
url = "http://arxiv.org/pdf/1602.02672v1",
}
@article{10200,
title = "Bayesian Analysis of Continuous Time Markov Chains with Application to Phylogenetic Modelling",
author = "Tingting Zhao and Ziyu Wang and Alexander Cumberworth and Joerg Gsponer and Nando de Freitas and Alexandre Bouchard-Côté",
year = "2015",
journal = "Bayesian Analysis",
url = "https://projecteuclid.org/euclid.ba/1448899900",
doi = "10.1214/15-BA982",
}
@inproceedings{Miroslav2015,
title = "Deep Apprenticeship Learning for Playing Video Games",
author = "Miroslav Bogdanovic and Dejan Markovikj and Misha Denil and Nando de Freitas",
year = "2015",
booktitle = "AAAI Workshop on Learning for General Competency in Video Games",
url = "http://www.cs.ox.ac.uk/people/nando.defreitas/publications/apprenticeship.pdf",
}
@inproceedings{Yang:2015,
title = "Deep Fried Convnets",
author = "Zichao Yang and Marcin Moczulski and Misha Denil and Nando de Freitas and Alexander J. Smola and Le Song and Ziyu Wang",
year = "2015",
booktitle = "ICCV",
url = "http://arxiv.org/pdf/1412.7149v4",
}
@inproceedings{Kotzias2015,
title = "From Group to Individual Labels using Deep Features",
author = "Kotzias, Dimitrios and Denil, Misha and de Freitas, Nando and Smyth, Padhraic",
year = "2015",
booktitle = "ACM SIGKDD",
url = "http://mdenil.com/media/papers/2015-deep-multi-instance-learning.pdf",
}
@techreport{10204,
title = "ACDC: A Structured Efficient Linear Layer",
author = "Marcin Moczulski and Misha Denil and Jeremy Appleyard and Nando de Freitas",
year = "2015",
number = "arXiv:1511.05946",
url = "http://arxiv.org/abs/1511.05946",
}
@techreport{10202,
title = "Neural Programmer-Interpreters",
author = "Scott Reed and Nando de Freitas",
year = "2015",
number = "arXiv:1511.06279",
url = "http://arxiv.org/abs/1511.06279",
}
@techreport{10201,
title = "Dueling Network Architectures for Deep Reinforcement Learning",
author = "Ziyu Wang and Nando de Freitas and Marc Lanctot",
year = "2015",
number = "arXiv:1511.06581",
url = "http://arxiv.org/abs/1511.06581",
}
@techreport{Shahriari:2015,
title = "Taking the Human Out of the Loop: A Review of Bayesian Optimization",
author = "Bobak Shahriari and Kevin Swersky and Ziyu Wang and Ryan P. Adams and Nando de Freitas",
year = "2015",
institution = "Universities of Harvard, Oxford, Toronto, and Google DeepMind",
url = "http://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf",
}
@article{GBFHSemPar2014,
title = "A Deep Architecture for Semantic Parsing",
author = "Edward Grefenstette and Phil Blunsom and Nando de Freitas and Karl Moritz Hermann",
year = "2014",
journal = "Proceedings of the ACL 2014 Workshop on Semantic Parsing",
month = "June",
url = "http://goo.gl/EV8xib",
}
@inproceedings{Mizrahi:2014nips,
title = "{Distributed Parameter Estimation in Probabilistic Graphical Models}",
author = "Yariv Mizrahi and Misha Denil and Nando de Freitas",
year = "2014",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
institution = "University of Oxford",
url = "http://arxiv.org/abs/1406.3070",
}
@inproceedings{Mizrahi:2014,
title = "Linear and Parallel Learning for Markov Random Fields",
author = "Yariv Dror Mizrahi and Misha Denil and Nando de Freitas",
year = "2014",
booktitle = "International Conference on Machine Learning (ICML)",
url = "http://www.cs.ox.ac.uk/people/nando.defreitas/publications/LAP.pdf",
}
@inproceedings{Martinez:2014,
title = "Bayesian Optimization with an Empirical Hardness Model for Approximate Nearest Neighbour Search",
author = "Julieta Martinez and James Little and Nando de Freitas",
year = "2014",
booktitle = "IEEE Winter Conference on Applications of Computer Vision (WACV)",
url = "http://www.cs.ubc.ca/~julm/papers/julieta_wacv_14.pdf",
}
@inproceedings{Shahriari:2014,
title = "On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning",
author = "Bobak Shahriari and Matthew Hoffman and Nando de Freitas",
year = "2014",
booktitle = "Artificial Intelligence and Statistics (AISTATS)",
pages = "365--374",
url = "http://jmlr.org/proceedings/papers/v33/hoffman14.pdf",
}
@inproceedings{Denil:2014,
title = "Narrowing the Gap: Random Forests In Theory and In Practice",
author = "Misha Denil and David Matheson and Nando de Freitas",
year = "2014",
booktitle = "International Conference on Machine Learning (ICML)",
url = "http://jmlr.org/proceedings/papers/v32/denil14.pdf",
}
@inproceedings{Wang:2014,
title = "Bayesian Multi-Scale Optimistic Optimization",
author = "Ziyu Wang and Babak Shakibi and Lin Jin and Nando de Freitas",
year = "2014",
booktitle = "Artificial Intelligence and Statistics (AISTATS)",
pages = "1005-1014",
url = "http://jmlr.org/proceedings/papers/v33/wang14d.pdf",
}
@techreport{Wang:2014hyper,
title = "Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters",
author = "Ziyu Wang and Nando de Freitas",
year = "2014",
institution = "University of Oxford",
number = "arXiv:1406.7758",
url = "http://arxiv.org/abs/1406.7758",
}
@techreport{Shahriari:2014,
title = "{An Entropy Search Portfolio for Bayesian Optimization}",
author = "Bobak Shahriari and Ziyu Wang and Matthew W. Hoffman and Alexandre Bouchard-Cote and Nando de Freitas",
year = "2014",
institution = "University of Oxford",
number = "arXiv:1406.4625",
url = "http://arxiv.org/abs/1406.4625",
}
@techreport{Denil:2014arxiv,
title = "Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network",
author = "Misha Denil and Alban Demiraj and Nal Kalchbrenner and Phil Blunsom and Nando de Freitas",
year = "2014",
institution = "University of Oxford",
number = "arXiv:1406.3830",
url = "http://arxiv.org/abs/1406.3830",
}
@article{Hamze:2013,
title = "Self-Avoiding Random Dynamics on Integer Complex Systems",
author = "Hamze, Firas and Wang, Ziyu and de Freitas, Nando",
year = "2013",
address = "New York, NY, USA",
journal = "ACM Transactions on Modelling and Computer Simulation",
number = "1",
pages = "9:1--9:25",
publisher = "ACM",
url = "https://github.com/ziyuw/AdaptSAW",
volume = "23",
doi = "10.1145/2414416.2414790",
}
@inproceedings{Wang:2013b,
title = "Bayesian Optimization in High Dimensions via Random Embeddings",
author = "Ziyu Wang and Masrour Zoghi and Frank Hutter and David Matheson and Nando de Freitas",
year = "2013",
booktitle = "International Joint Conferences on Artificial Intelligence (IJCAI) - Distinguished Paper Award",
url = "http://www.cs.ubc.ca/~hutter/papers/13-IJCAI-BO-highdim.pdf",
}
@inproceedings{Bornn:2013,
title = "Herded Gibbs Sampling",
author = "Luke Bornn and Yutian Chen and Nando de Freitas and Mareija Eskelin and Jing Fang and Max Welling",
year = "2013",
booktitle = "International Conference on Learning Representations (ICLR)",
url = "http://openreview.net/document/a7ca8bba-732c-4104-83a3-1956c3b5c3a6",
}
@inproceedings{Wang:2013,
title = "Adaptive {Hamiltonian} and {Riemann} Manifold {Monte Carlo} Samplers",
author = "Ziyu Wang and Shakir Mohamed and Nando de Freitas",
year = "2013",
booktitle = "International Conference on Machine Learning (ICML)",
note = "JMLR W\&CP 28 (3): 1462–1470, 2013",
pages = "1462–1470",
url = "http://jmlr.org/proceedings/papers/v28/wang13e.pdf",
}
@inproceedings{Denil:2013b,
title = "Consistency of Online Random Forests",
author = "Misha Denil and David Matheson and Nando de Freitas",
year = "2013",
booktitle = "International Conference on Machine Learning (ICML)",
note = "JMLR W\&CP 28 (3): 1256–1264, 2013",
pages = "1256–-1264",
url = "http://jmlr.org/proceedings/papers/v28/denil13.pdf",
}
@inproceedings{Denil:2013,
title = "Predicting Parameters in Deep Learning",
author = "Misha Denil and Babak Shakibi and Laurent Dinh and Marc'Aurelio Ranzato and Nando de Freitas",
year = "2013",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
url = "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2013_5025.pdf",
}
@inbook{Hoffman:2012,
title = "Inference Strategies for Solving Semi-{Markov} Decision Processes",
author = "Matthew Hoffman and Nando de Freitas",
year = "2012",
chapter = "5",
editor = "Enrique Sucar and Eduardo F. Morales and Jesse Hoey",
pages = "82--96",
publisher = "Hershey: IGI Global",
url = "http://mlg.eng.cam.ac.uk/hoffmanm/publications/_download/2010-smdp.pdf",
}
@article{Buchman:2012,
title = "On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models",
author = "David Buchman and Mark W. Schmidt and Shakir Mohamed and David Poole and Nando de Freitas",
year = "2012",
journal = "Journal of Machine Learning Research - Proceedings Track for Artificial Intelligence and Statistics (AISTATS)",
pages = "173--181",
url = "http://jmlr.csail.mit.edu/proceedings/papers/v22/buchman12.html",
volume = "22",
}
@article{Mahendran:2012,
title = "Adaptive {MCMC} with {Bayesian} Optimization",
author = "Nimalan Mahendran and Ziyu Wang and Firas Hamze and Nando de Freitas",
year = "2012",
journal = "Journal of Machine Learning Research - Proceedings Track for Artificial Intelligence and Statistics (AISTATS)",
pages = "751--760",
url = "http://jmlr.csail.mit.edu/proceedings/papers/v22/mahendran12.html",
volume = "22",
}
@article{Denil:2012,
title = "Learning where to attend with deep architectures for image tracking",
author = "Denil, Misha and Bazzani, Loris and Larochelle, Hugo and de Freitas, Nando",
year = "2012",
address = "Cambridge, MA, USA",
journal = "Neural Computation",
number = "8",
pages = "2151--2184",
publisher = "MIT Press",
url = "http://www.lorisbazzani.info/code-datasets/rbm-tracking/",
volume = "24",
doi = "10.1162/NECO_a_00312",
}
@inproceedings{Knoll:2012,
title = "A Machine Learning Perspective on Predictive Coding with {PAQ8}",
author = "Byron Knoll and Nando de Freitas",
year = "2012",
booktitle = "Data Compression Conference (DCC)",
issn = "1068-0314",
pages = "377--386",
url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6189269",
doi = "10.1109/DCC.2012.44",
}
@inproceedings{Osborne:2012,
title = "Prediction and Fault Detection of Environmental Signals with Uncharacterised Faults",
author = "Michael A. Osborne and Roman Garnett and Kevin Swersky and Nando de Freitas",
year = "2012",
booktitle = "National Conference on Artificial Intelligence (AAAI)",
url = "http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5055",
}
@inproceedings{deFreitas:2013,
title = "Exponential Regret Bounds for {Gaussian} Process Bandits with Deterministic Observations",
author = "Nando de Freitas and Alex Smola and Masrour Zoghi",
year = "2012",
booktitle = "International Conference on Machine Learning (ICML)",
url = "http://icml.cc/discuss/2012/853.html",
}
@proceedings{deFreitas:2012,
title = "Proceedings of the Twenty-Eigth Annual Conference on Uncertainty in Artificial Intelligence (UAI-12)",
year = "2012",
address = "Corvallis, Oregon",
editor = "Nando de Freitas and Kevin Murphy",
publisher = "AUAI Press",
url = "http://uai.sis.pitt.edu/displayArticles.jsp?mmnu=1&smnu=1&proceeding_id=28",
}
@inproceedings{Bazzani:2011,
title = "Learning attentional policies for tracking and recognition in video with deep networks",
author = "Loris Bazzani and Nando Freitas and Hugo Larochelle and Vittorio Murino and Jo-Anne Ting",
year = "2011",
address = "New York, NY, USA",
booktitle = "Proceedings of the 28th International Conference on Machine Learning (ICML-11)",
editor = "Lise Getoor and Tobias Scheffer",
isbn = "978-1-4503-0619-5",
location = "Bellevue, Washington, USA",
month = "June",
pages = "937--944",
publisher = "ACM",
series = "ICML '11",
url = "http://www.lorisbazzani.info/code-datasets/rbm-tracking/",
}
@inproceedings{Swersky:2011,
title = "On Autoencoders and Score Matching for Energy Based Models",
author = "Kevin Swersky and Marc'Aurelio Ranzato and David Buchman and Benjamin Marlin and Nando Freitas",
year = "2011",
address = "New York, NY, USA",
booktitle = "Proceedings of the 28th International Conference on Machine Learning (ICML-11)",
editor = "Lise Getoor and Tobias Scheffer",
isbn = "978-1-4503-0619-5",
location = "Bellevue, Washington, USA",
month = "June",
pages = "1201--1208",
publisher = "ACM",
series = "ICML '11",
url = "http://mldiscuss.appspot.com/venue/ICML/2011/article/622/",
}
@inproceedings{Hoffman:2011,
title = "Portfolio Allocation for {Bayesian} Optimization",
author = "Matthew Hoffman and Eric Brochu and Nando de Freitas",
year = "2011",
address = "Corvallis, Oregon",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "327--336",
url = "http://uai.sis.pitt.edu/displayArticleDetails.jsp?mmnu=2&smnu=2&article_id=2214&author_id=4",
}
@inproceedings{Marlin:2011,
title = "Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood",
author = "Benjamin Marlin and Nando de Freitas",
year = "2011",
address = "Corvallis, Oregon",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
publisher = "AUAI Press",
url = "http://uai.sis.pitt.edu/displayArticleDetails.jsp?mmnu=2&smnu=2&article_id=2248&author_id=4",
}
@inproceedings{Denil:2011,
title = "Toward the Implementation of a Quantum {RBM}",
author = "Misha Denil and Nando de Freitas",
year = "2011",
booktitle = "NIPS 2011 Deep Learning and Unsupervised Feature Learning Workshop",
url = "http://www.cs.ubc.ca/~nando/papers/quantumrbm.pdf",
}
@article{Swersky:2010,
title = "Inductive Principles for Restricted {Boltzmann} Machine Learning",
author = "Benjamin Marlin and Kevin Swersky and Bo Chen and Nando de Freitas",
year = "2010",
journal = "Journal of Machine Learning Research - Proceedings Track for Artificial Intelligence and Statistics (AISTATS)",
pages = "509--516",
url = "http://jmlr.org/proceedings/papers/v9/marlin10a.html",
volume = "9",
}
@inproceedings{Chen:2010,
title = "Deep Learning of Invariant Spatio-Temporal Features from Video",
author = "Bo Chen and Jo-Anne Ting and Ben Marlin and Nando de Freitas",
year = "2010",
booktitle = "NIPS 2010 Deep Learning and Unsupervised Feature Learning Workshop",
url = "http://www.cs.ubc.ca/~nando/papers/nipsworkshop2010.pdf",
}
@inproceedings{Swersky:2010b,
title = "A tutorial on stochastic approximation algorithms for training Restricted {Boltzmann} Machines and Deep Belief Nets",
author = "Swersky, Kevin and Bo Chen and Marlin, Ben and de Freitas, Nando",
year = "2010",
booktitle = "Information Theory and Applications Workshop (ITA)",
pages = "1-10",
url = "http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5454138",
doi = "10.1109/ITA.2010.5454138",
}
@inproceedings{Hamze:2010,
title = "Intracluster Moves for Constrained Discrete-Space MCMC",
author = "Firas Hamze and Nando de Freitas",
year = "2010",
address = "Corvallis, Oregon",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "236--243",
url = "http://uai.sis.pitt.edu/displayArticleDetails.jsp?mmnu=2&smnu=2&article_id=2119&author_id=4",
}
@inproceedings{Brochu:2010,
title = "A {Bayesian} interactive optimization approach to procedural animation design",
author = "Brochu, Eric and Brochu, Tyson and de Freitas, Nando",
year = "2010",
address = "Aire-la-Ville, Switzerland, Switzerland",
booktitle = "Proceedings of the 2010 ACM SIGGRAPH/Eurographics Symposium on Computer Animation",
location = "Madrid, Spain",
pages = "103--112",
publisher = "Eurographics Association",
series = "SCA '10",
url = "http://dl.acm.org/citation.cfm?id=1921427.1921443",
}
@article{Hoffman:2009b,
title = "An Expectation Maximization Algorithm for Continuous {Markov} Decision Processes with Arbitrary Reward",
author = "Matthew Hoffman and Nando de Freitas and Arnaud Doucet and Jan Peters",
year = "2009",
journal = "Journal of Machine Learning Research - Proceedings Track for Artificial Intelligence and Statistics (AISTATS)",
pages = "232--239",
url = "http://jmlr.org/proceedings/papers/v5/hoffman09a.html",
volume = "5",
}
@article{Cantin:2009,
title = "A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot",
author = "Martinez-Cantin, Ruben and Freitas, Nando and Brochu, Eric and Castellanos, José and Doucet, Arnaud",
year = "2009",
issn = "0929-5593",
journal = "Autonomous Robots",
number = "2",
pages = "93--103",
publisher = "Springer US",
url = "http://dx.doi.org/10.1007/s10514-009-9130-2",
volume = "27",
doi = "10.1007/s10514-009-9130-2",
}
@inproceedings{Hoffman:2009,
title = "New inference strategies for solving {Markov} Decision Processes using reversible jump {MCMC}",
author = "Matthias Hoffman and Hendrik Kueck and Nando de Freitas and Arnaud Doucet",
year = "2009",
address = "Corvallis, Oregon",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "223--231",
url = "http://uai.sis.pitt.edu/displayArticleDetails.jsp?mmnu=2&smnu=2&article_id=1658&author_id=4",
}
@techreport{Brochu:2009,
title = "A Tutorial on {B}ayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning",
author = "Eric Brochu and Vlad M Cora and Nando {de Freitas}",
year = "2009",
institution = "University of British Columbia, Department of Computer Science",
number = "UBC TR-2009-023 and arXiv:1012.2599",
url = "http://arxiv.org/abs/1012.2599",
}
@incollection{Kueck:2009
year={2009},
title = "Inference and Learning for Active Sensing, Experimental Design and Control",
author = "Kueck, Hendrik and Hoffman, Matt and Doucet, Arnaud and Freitas, Nando",
year = "2009",
booktitle = "Pattern Recognition and Image Analysis",
editor = "Araujo, Helder and Mendonca, Ana Maria and Pinho, Armando J. and Torres, Maria Ines",
isbn = "978-3-642-02171-8",
pages = "1--10",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/978-3-642-02172-5_1",
volume = "5524",
doi = "10.1007/978-3-642-02172-5_1",
}
@article{Carbonetto:2008ijcv,
title = "Learning to Recognize Objects with Little Supervision",
author = "Carbonetto, Peter and Dorkó, Gyuri and Schmid, Cordelia and Kück, Hendrik and de Freitas, Nando",
year = "2008",
issn = "0920-5691",
journal = "International Journal of Computer Vision",
keywords = "Object recognition; Scale-invariant keypoints; Weakly supervised learning; Data association; Bayesian analysis; Markov Chain Monte Carlo",
number = "1-3",
pages = "219--237",
publisher = "Springer US",
url = "http://dx.doi.org/10.1007/s11263-007-0067-7",
volume = "77",
doi = "10.1007/s11263-007-0067-7",
}
@inproceedings{Vogel:2008,
title = "Target-directed attention: Sequential decision-making for gaze planning",
author = "Vogel, J. and de Freitas, N.",
year = "2008",
booktitle = "IEEE International Conference on Robotics and Automation (ICRA)",
issn = "1050-4729",
keywords = "Bayes methods;decision making;planning (artificial intelligence);robot vision;bottom-up attention system;bottom-up saliency information;context information;direct policy search;featural visual saliency;finite-horizon Bayesian sequential decision process;gaze planning;gaze sequence;next best gaze location;object detection precision;probabilistic system;sequential decision making;target-directed attention system;top-down target knowledge;visual search;Bayesian methods;Cameras;Decision making;Detectors;Image analysis;Laboratories;Object detection;Robot vision systems;Robotics and automation;USA Councils",
pages = "2372--2379",
doi = "10.1109/ROBOT.2008.4543568",
}
@incollection{Carbonetto:2008,
title = "An interior-point stochastic approximation method and an L1-regularized delta rule",
author = "Peter Carbonetto and Mark Schmidt and Nando de Freitas",
year = "2008",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
editor = "D. Koller and D. Schuurmans and Y. Bengio and L. Bottou",
pages = "233--240",
}
@inproceedings{Martinez-Cantin:2007,
title = "Active Policy Learning for Robot Planning and Exploration under Uncertainty",
author = "Ruben Martinez-Cantin and Nando de Freitas and Arnaud Doucet and Jose Castellanos",
year = "2007",
address = "Atlanta, GA, USA",
booktitle = "Proceedings of Robotics: Science and Systems",
month = "June",
url = "http://www.roboticsproceedings.org/rss03/p41.html",
}
@inproceedings{Brochu:2007b,
title = "Preference galleries for material design",
author = "Brochu, Eric and Ghosh, Abhijeet and de Freitas, Nando",
year = "2007",
address = "New York, NY, USA",
booktitle = "ACM SIGGRAPH 2007 posters - Winner of the Student RC competition at SIGGRAPH.",
isbn = "978-1-4503-1828-0",
location = "San Diego, California",
publisher = "ACM",
series = "SIGGRAPH '07",
url = "http://doi.acm.org/10.1145/1280720.1280834",
doi = "10.1145/1280720.1280834",
}
@incollection{Brochu:2007,
title = "Active Preference Learning with Discrete Choice Data",
author = "Brochu Eric and Nando de Freitas and Abhijeet Ghosh",
year = "2007",
address = "Cambridge, MA",
booktitle = "Advances in Neural Information Processing Systems 20",
editor = "J.C. Platt and D. Koller and Y. Singer and S. Roweis",
pages = "409--416",
publisher = "MIT Press",
url = "http://machinelearning.wustl.edu/mlpapers/paper_files/NIPS2007_902.pdf",
}
@incollection{Hoffman:2007,
title = "Bayesian Policy Learning with Trans-Dimensional {MCMC}",
author = "Matthew Hoffman and Arnaud Doucet and Nando de Freitas and Ajay Jasra",
year = "2007",
address = "Cambridge, MA",
booktitle = "Advances in Neural Information Processing Systems 20",
editor = "J.C. Platt and D. Koller and Y. Singer and S. Roweis",
pages = "665--672",
publisher = "MIT Press",
url = "http://nips.cc/Conferences/2007/Program/event.php?ID=663",
}
@inproceedings{Hamze:2006,
title = "Information Theory Tools to Rank {MCMC} Algorithms on Probabilistic Graphical Models",
author = "Firas Hamze and Jean-Noel Rivasseau and Nando de Freitas",
year = "2006",
booktitle = "Information Theory and Applications Workshop (ITA)",
url = "http://ita.ucsd.edu/workshop/06/papers/279.pdf",
}
@inproceedings{Cai:2006,
title = "Robust Visual Tracking for Multiple Targets",
author = "Cai, Yizheng and Freitas, Nando and Little, James",
year = "2006",
booktitle = "European Conference on Computer Vision (ECCV)",
editor = "Leonardis, Aleš and Bischof, Horst and Pinz, Axel",
isbn = "978-3-540-33838-3",
pages = "107--118",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/11744085_9",
volume = "3954",
doi = "10.1007/11744085_9",
}
@inproceedings{Klaas:2006,
title = "Fast particle smoothing: if I had a million particles",
author = "Klaas, Mike and Briers, Mark and de Freitas, Nando and Doucet, Arnaud and Maskell, Simon and Lang, Dustin",
year = "2006",
address = "New York, NY, USA",
booktitle = "International Conference on Machine Learning (ICML)",
location = "Pittsburgh, Pennsylvania",
pages = "481--488",
publisher = "ACM",
url = "http://doi.acm.org/10.1145/1143844.1143905",
doi = "10.1145/1143844.1143905",
}
@inproceedings{Kueck:2006,
title = "{SMC} Samplers for {Bayesian} Optimal Nonlinear Design",
author = "Kuck, Hendrik and de Freitas, N. and Doucet, Arnaud",
year = "2006",
booktitle = "IEEE Nonlinear Statistical Signal Processing Workshop",
pages = "99--102",
url = "http://www.cs.ubc.ca/~nando/papers/smcdesign.pdf",
}
@inproceedings{Carbonetto:2006,
title = "Conditional mean field",
author = "Peter Carbonetto and Nando De Freitas",
year = "2006",
address = "Cambridge, MA",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
editor = "B. Sch\"{o}lkopf and J. Platt and T. Hoffman",
pages = "201--208",
publisher = "MIT Press",
url = "http://www.cs.ubc.ca/~nando/papers/cmf.pdf",
}
@incollection{Carbonetto:2006b,
title = "A Semi-supervised Learning Approach to Object Recognition with Spatial Integration of Local Features and Segmentation Cues",
author = "Carbonetto, Peter and Dorkó, Gyuri and Schmid, Cordelia and Kück, Hendrik and Freitas, Nando",
year = "2006",
booktitle = "Toward Category-Level Object Recognition",
editor = "Ponce, Jean and Hebert, Martial and Schmid, Cordelia and Zisserman, Andrew",
isbn = "978-3-540-68794-8",
pages = "277-300",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/11957959_15",
volume = "4170",
doi = "10.1007/11957959_15",
}
@inproceedings{Mahdaviani:2005,
title = "Fast Computational Methods for Visually Guided Robots",
author = "Mahdaviani, M. and de Freitas, N. and Fraser, B. and Hamze, F.",
year = "2005",
booktitle = "IEEE International Conference on Robotics \& Automation (ICRA)",
pages = "138--143",
url = "http://www.cs.ubc.ca/~nando/papers/aibo.pdf",
doi = "10.1109/ROBOT.2005.1570109",
}
@inproceedings{Klaas:2005b,
title = "Fast maximum a posteriori inference in {Monte Carlo} state spaces",
author = "Klaas, Mike and Lang, Dustin and de Freitas, Nando",
year = "2005",
booktitle = "Artificial Intelligence and Statistics (AISTATS)",
url = "http://www.cs.ubc.ca/~nando/papers/fastmax.pdf",
}
@inproceedings{Klaas:2005,
title = "Toward Practical $N^2$ Monte Carlo: the Marginal Particle Filter",
author = "Mike Klaas and Nando de Freitas and Arnaud Doucet",
year = "2005",
address = "Arlington, Virginia",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "308--315",
publisher = "AUAI Press",
url = "http://uai.sis.pitt.edu/papers/05/p308-klaas.pdf",
}
@inproceedings{Kuck:2005,
title = "Learning about individuals from group statistics",
author = "Hendrik Kuck and Nando de Freitas",
year = "2005",
address = "Arlington, Virginia",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "332--339",
publisher = "AUAI Press",
url = "http://uai.sis.pitt.edu/papers/05/p332-kuck.pdf",
}
@inproceedings{Carbonetto:2005,
title = "Nonparametric {Bayesian} Logic",
author = "Peter Carbonetto and Jacek Kisynski and Nando de Freitas and David Poole",
year = "2005",
address = "Arlington, Virginia",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "85--93",
publisher = "AUAI Press",
url = "http://uai.sis.pitt.edu/papers/05/p85-carbonetto.pdf",
}
@inproceedings{Freitas:2005,
title = "Fast {Krylov} Methods for {N}-Body Learning",
author = "Nando De Freitas and Yang Wang and Maryam Mahdaviani and Dustin Lang",
year = "2005",
address = "Cambridge, MA",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
editor = "Y. Weiss and B. Sch\"{o}lkopf and J. Platt",
pages = "251--258",
publisher = "MIT Press",
url = "http://books.nips.cc/papers/files/nips18/NIPS2005_0765.pdf",
}
@inproceedings{Hamze:2005,
title = "Hot Coupling: A Particle Approach to Inference and Normalization on Pairwise Undirected Graphs",
author = "Firas Hamze and Nando De Freitas",
year = "2005",
address = "Cambridge, MA",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
editor = "Y. Weiss and B. Sch\"{o}lkopf and J. Platt",
pages = "491--498",
publisher = "MIT Press",
url = "http://books.nips.cc/papers/files/nips18/NIPS2005_0800.pdf",
}
@inproceedings{Jiang:2005,
title = "N-Body Games",
author = "Albert Jiang and Kevin Leyton-Brown and Nando de Freitas",
year = "2005",
booktitle = "NIPS workshop on Game Theory, Machine Learning and Reasoning under Uncertainty",
url = "http://www.cs.ubc.ca/~nando/papers/nbody.pdf",
}
@techreport{Lang:2005,
title = "Empirical Testing of Fast Kernel Density Estimation Algorithms",
author = "Dustin Lang and Mike Klaas and Nando de Freitas",
year = "2005",
institution = "University of British Columbia, Department of Computer Science",
number = "UBC TR-2005-03",
url = "http://www.cs.ubc.ca/~nando/papers/empirical.pdf",
}
@article{Freitas:2004,
title = "Diagnosis by a waiter and a Mars explorer",
author = "de Freitas, N. and Dearden, R. and Hutter, Frank and Morales-Menendez, R. and Mutch, J. and Poole, D.",
year = "2004",
issn = "0018-9219",
journal = "Proceedings of the IEEE",
number = "3",
pages = "455--468",
url = "http://www.cs.ubc.ca/~nando/papers/rbpf.pdf",
volume = "92",
doi = "10.1109/JPROC.2003.823157",
}
@inproceedings{Kueck:2004,
title = "A Constrained Semi-supervised Learning Approach to Data Association",
author = "Kueck, Hendrik and Carbonetto, Peter and Freitas, Nando",
year = "2004",
booktitle = "Computer Vision - ECCV 2004",
editor = "Pajdla, Tomas and Matas, Jiri",
isbn = "978-3-540-21982-8",
pages = "1--12",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/978-3-540-24672-5_1",
volume = "3023",
doi = "10.1007/978-3-540-24672-5_1",
}
@inproceedings{Carbonetto:2004,
title = "A Statistical Model for General Contextual Object Recognition",
author = "Carbonetto, Peter and Freitas, Nando and Barnard, Kobus",
year = "2004",
booktitle = "European Conference on Computer Vision (ECCV)",
editor = "Pajdla, Tomas and Matas, Jiri",
isbn = "978-3-540-21984-2",
pages = "350--362",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/978-3-540-24670-1_27",
volume = "3021",
doi = "10.1007/978-3-540-24670-1_27",
}
@inproceedings{Okuma:2004,
title = "A Boosted Particle Filter: Multitarget Detection and Tracking",
author = "Okuma, Kenji and Taleghani, Ali and Freitas, Nando and Little, James J. and Lowe, David G.",
year = "2004",
booktitle = "Computer Vision - ECCV 2004",
editor = "Pajdla, Tomas and Matas, Jiri",
isbn = "978-3-540-21984-2",
note = "Best Paper prize in Cognitive Vision",
pages = "28--39",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/978-3-540-24670-1_3",
volume = "3021",
doi = "10.1007/978-3-540-24670-1_3",
}
@inproceedings{Hamze:2004,
title = "From Fields to Trees",
author = "Firas Hamze and Nando de Freitas",
year = "2004",
address = "Arlington, Virginia",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "243--250",
publisher = "AUAI Press",
url = "http://uai.sis.pitt.edu/papers/04/p243-hamze.pdf",
}
@incollection{Lang:2004,
title = "Beat Tracking the Graphical Model Way",
author = "Dustin {Lang} and Nando {de Freitas}",
year = "2004",
address = "Cambridge, MA",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
editor = "Lawrence K. Saul and Yair Weiss and {L\'{e}on} Bottou",
pages = "745-752",
publisher = "MIT Press",
url = "http://books.nips.cc/papers/files/nips17/NIPS2004_0720.pdf",
}
@article{Barnard:2003,
title = "Matching words and pictures",
author = "Barnard, Kobus and Duygulu, Pinar and Forsyth, David and de Freitas, Nando and Blei, David M. and Jordan, Michael I.",
year = "2003",
issn = "1532-4435",
journal = "Journal of Machine Learning Research",
month = "mar",
pages = "1107--1135",
publisher = "JMLR.org",
url = "http://dl.acm.org/citation.cfm?id=944919.944965",
volume = "3",
}
@article{Andrieu:2003
year={2003},
title = "An Introduction to {MCMC} for Machine Learning",
author = "Andrieu, Christophe and de Freitas, Nando and Doucet, Arnaud and Jordan, Michael I.",
year = "2003",
issn = "0885-6125",
journal = "Machine Learning",
number = "1-2",
pages = "5-43",
publisher = "Kluwer Academic Publishers",
url = "http://dx.doi.org/10.1023/A%3A1020281327116",
volume = "50",
doi = "10.1023/A:1020281327116",
}
@inproceedings{Muyan:2003,
title = "A Blessing of Dimensionality: Measure Concentration and Probabilistic Inference",
author = "Pinar Muyan and Nando de Freitas",
year = "2003",
booktitle = "Artificial Intelligence and Statistics (AISTATS)",
url = "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.13.7977&rep=rep1&type=pdf",
}
@inproceedings{Carbonetto:2003b,
title = "Bayesian Feature Weighting for Unsupervised Learning, with Application to Object Recognition",
author = "Peter Carbonetto and Nando de Freitas and Paul Gustafson and Natalie Thompson",
year = "2003",
booktitle = "Artificial Intelligence and Statistics (AISTATS)",
url = "http://www.cs.ubc.ca/~nando/papers/shrinkage.pdf",
}
@inproceedings{Brochu:2003,
title = "The Sound of an Album Cover: Probabilistic Multimedia and Information Retrieval",
author = "Eric Brochu and Nando de Freitas and Kejie Bao",
year = "2003",
booktitle = "Artificial Intelligence and Statistics (AISTATS)",
url = "http://www.cs.ubc.ca/~nando/papers/aismedia.pdf",
}
@inproceedings{Menendez:2003,
title = "Estimation and control of industrial processes with particle filters",
author = "Morales-Menendez, R. and de Freitas, N. and Poole, D.",
year = "2003",
booktitle = "American Control Conference",
issn = "0743-1619",
pages = "579--584",
url = "http://www.cs.ubc.ca/~nando/papers/itesmpaper.pdf",
volume = "1",
doi = "10.1109/ACC.2003.1239081",
}
@inproceedings{Carbonetto:2003,
title = "Why can't Jos\é read?: the problem of learning semantic associations in a robot environment",
author = "Carbonetto, Peter and de Freitas, Nando",
year = "2003",
address = "Stroudsburg, PA, USA",
booktitle = "Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data",
pages = "54--61",
publisher = "Association for Computational Linguistics",
series = "HLT-NAACL-LWM '04",
url = "http://dx.doi.org/10.3115/1119212.1119220",
doi = "10.3115/1119212.1119220",
}
@inproceedings{Freitas:2003,
title = "Rao-Blackwellised particle filtering for fault diagnosis",
author = "de Freitas, Nando",
year = "2002",
booktitle = "IEEE Aerospace Conference",
pages = "4-1767-4-1772 vol.4",
url = "https://www.cs.ubc.ca/labs/lci/papers/docs2002/nando-aeropf.pdf",
volume = "4",
doi = "10.1109/AERO.2002.1036890",
}
@inproceedings{Menendez:2002,
title = "Real-Time Monitoring of Complex Industrial Processes with Particle Filters",
author = "Ruben Morales-Menendez and Nando de Freitas and David Poole",
year = "2002",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
pages = "1433--1440",
url = "http://books.nips.cc/papers/files/nips15/AP05.pdf",
}
@inproceedings{Duygulu:2002,
title = "Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary",
author = "Duygulu, P. and Barnard, K. and Freitas, J.F.G. and Forsyth, D.A.",
year = "2002",
booktitle = "European Conference on Computer Vision (ECCV)",
editor = "Heyden, Anders and Sparr, Gunnar and Nielsen, Mads and Johansen, Peter",
isbn = "978-3-540-43748-2",
note = "Best Paper prize in Cognitive Vision",
pages = "97-112",
publisher = "Springer Berlin Heidelberg",
series = "Lecture Notes in Computer Science",
url = "http://dx.doi.org/10.1007/3-540-47979-1_7",
volume = "2353",
doi = "10.1007/3-540-47979-1_7",
}
@article{Andrieu:2001,
title = "Robust Full {Bayesian Learning} for Radial Basis Networks",
author = "Andrieu, Christophe and De Freitas, Nando and Doucet, Arnaud",
year = "2001",
address = "Cambridge, MA, USA",
issn = "0899-7667",
journal = "Neural Computation",
number = "10",
pages = "2359--2407",
publisher = "MIT Press",
url = "http://dx.doi.org/10.1162/089976601750541831",
volume = "13",
doi = "10.1162/089976601750541831",
}
@inproceedings{Freitas:2001,
title = "Variational MCMC",
author = "Nando de Freitas and Pedro Hojen-Sorensen and Michael Jordan and Stuart Russell",
year = "2001",
address = "San Francisco, CA",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "120--127",
publisher = "Morgan Kaufmann",
url = "http://uai.sis.pitt.edu/papers/01/p120-de_freitas.pdf",
}
@inproceedings{Andrieu:2001b,
title = "Rao-Blackwellised Particle Filtering via Data Augmentation",
author = "Christophe Andrieu and Nando de Freitas and Arnaud Doucet",
year = "2001",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
pages = "561--567",
url = "http://books.nips.cc/papers/files/nips14/AA60.pdf",
}
@article{Freitas:2000c,
title = "Hierarchical {Bayesian} Models for Regularization in Sequential Learning",
author = "De Freitas and Nando and Niranjan, M. and Gee, A. H.",
year = "2000",
address = "Cambridge, MA, USA",
issn = "0899-7667",
journal = "Neural Computation",
number = "4",
pages = "933--953",
publisher = "MIT Press",
url = "http://dx.doi.org/10.1162/089976600300015655",
volume = "12",
doi = "10.1162/089976600300015655",
}
@article{Freitas:2000b,
title = "Sequential {Monte Carlo} Methods to Train Neural Network Models",
author = "De Freitas and Nando and Niranjan, M. A. and Gee, A. H. and Doucet, A.",
year = "2000",
address = "Cambridge, MA, USA",
issn = "0899-7667",
journal = "Neural Computation",
number = "4",
pages = "955--993",
publisher = "MIT Press",
url = "http://dx.doi.org/10.1162/089976600300015664",
volume = "12",
doi = "10.1162/089976600300015664",
}
@article{Freitas:2000,
title = "Dynamic Learning with the {EM} Algorithm for Neural Networks",
author = "De Freitas and Nando and Niranjan, M. and Gee, A. H.",
year = "2000",
address = "Hingham, MA, USA",
issn = "0922-5773",
journal = "Journal of VLSI Signal Processing Systems",
number = "1/2",
pages = "119--131",
publisher = "Kluwer Academic Publishers",
url = "http://dx.doi.org/10.1023/A:1008103718973",
volume = "26",
doi = "10.1023/A:1008103718973",
}
@inproceedings{Andrieu:2000b,
title = "Sequential {Monte Carlo} for model selection and estimation of neural networks",
author = "Andrieu, C. and de Freitas, N.",
year = "2000",
booktitle = "IEEE International Conference on Acoustics, Speech, and Signal Processing",
issn = "1520-6149",
pages = "3410-3413 vol.6",
url = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=860133",
volume = "6",
doi = "10.1109/ICASSP.2000.860133",
}
@inproceedings{Doucet:2000,
title = "Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks",
author = "Arnaud Doucet and Nando de Freitas and Kevin Murphy and Stuart Russell",
year = "2000",
address = "San Francisco, CA",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "176--183",
publisher = "Morgan Kaufmann",
url = "http://uai.sis.pitt.edu/papers/00/p176-doucet.pdf",
}
@inproceedings{Andrieu:2000,
title = "Reversible Jump {MCMC} Simulated Annealing for Neural Networks",
author = "Christophe Andrieu and Nando de Freitas and Arnaud Doucet",
year = "2000",
address = "San Francisco, CA",
booktitle = "Uncertainty in Artificial Intelligence (UAI)",
pages = "11--18",
publisher = "Morgan Kaufmann",
url = "http://uai.sis.pitt.edu/papers/00/p11-andrieu.pdf",
}
@inproceedings{Merwe:2000,
title = "The Unscented Particle Filter",
author = "Rudolph van der Merwe and Arnaud Doucet and Nando de Freitas and Eric A. Wan",
year = "2000",
booktitle = "Advances in Neural Information Processing Systems (NIPS)",
pages = "584--590",
url = "http://www.cs.ubc.ca/~nando/papers/upfnips.pdf",
}
@inproceedings{Andrieu:1999,
title = "Sequential {MCMC} for {Bayesian} model selection",
author = "Andrieu, C. and De Freitas, Nando and Doucet, Arnaud",
year = "1999",
booktitle = "IEEE Signal Processing Workshop on Higher-Order Statistics",
pages = "130--134",
url = "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=778709",
doi = "10.1109/HOST.1999.778709",
}