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", }