Kevin P. Murphy

Department of Computer Science, University of British Columbia

	2013
i8		Kevin P. Murphy, Yair Weiss: The Factored Frontier Algorithm for Approximate Inference in DBNs. CoRR abs/1301.2296 (2013)
i7		Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. CoRR abs/1301.3853 (2013)
i6		Nando de Freitas, Kevin P. Murphy: Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (2012). CoRR abs/1301.4604 (2013)
i5		Kevin P. Murphy, Yair Weiss, Michael I. Jordan: Loopy Belief Propagation for Approximate Inference: An Empirical Study. CoRR abs/1301.6725 (2013)
i4		Nir Friedman, Kevin P. Murphy, Stuart J. Russell: Learning the Structure of Dynamic Probabilistic Networks. CoRR abs/1301.7374 (2013)
	2012
j14		Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M. Marlin, Kevin P. Murphy: A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models. Journal of Machine Learning Research - Proceedings Track 22: 610-618 (2012)
c40		Mohammad Emtiyaz Khan, Shakir Mohamed, Kevin P. Murphy: Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression. NIPS 2012: 3149-3157
e1		Nando de Freitas, Kevin P. Murphy (Eds.): Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012. AUAI Press 2012
i3		Mark W. Schmidt, Kevin P. Murphy: Modeling Discrete Interventional Data using Directed Cyclic Graphical Models. CoRR abs/1205.2617 (2012)
i2		Benjamin M. Marlin, Mark W. Schmidt, Kevin P. Murphy: Group Sparse Priors for Covariance Estimation. CoRR abs/1205.2626 (2012)
i1		Daniel Eaton, Kevin P. Murphy: Bayesian structure learning using dynamic programming and MCMC. CoRR abs/1206.5247 (2012)
	2011
c39		David K. Duvenaud, Benjamin M. Marlin, Kevin P. Murphy: Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification. CRV 2011: 371-378
c38		Wei-Lwun Lu, Jo-Anne Ting, Kevin P. Murphy, James J. Little: Identifying players in broadcast sports videos using conditional random fields. CVPR 2011: 3249-3256
c37		Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy: Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models. ICML 2011: 633-640
	2010
j13		Kevin P. Murphy: Review of "Probabilistic graphical models" by Koller and Friedman. Artif. Intell. 174(2): 145-146 (2010)
j12		Rodrigo Goya, Mark G. F. Sun, Ryan D. Morin, Gillian Leung, Gavin Ha, Kimberley C. Wiegand, Janine Senz, Anamaria Crisan, Marco A. Marra, Martin Hirst, David G. Huntsman, Kevin P. Murphy, Sam Aparicio, Sohrab P. Shah: SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors. Bioinformatics 26(6): 730-736 (2010)
j11		Antonio Torralba, Kevin P. Murphy, William T. Freeman: Using the forest to see the trees: exploiting context for visual object detection and localization. Commun. ACM 53(3): 107-114 (2010)
j10		David K. Duvenaud, Daniel Eaton, Kevin P. Murphy, Mark W. Schmidt: Causal learning without DAGs. Journal of Machine Learning Research - Proceedings Track 6: 177-190 (2010)
j9		Mark W. Schmidt, Kevin P. Murphy: Convex Structure Learning in Log-Linear Models: Beyond Pairwise Potentials. Journal of Machine Learning Research - Proceedings Track 9: 709-716 (2010)
j8		David C. Sharp, Alex E. Bell, Jeffrey J. Gold, Ken W. Gibbar, Dennis W. Gvillo, Vann M. Knight, Kevin P. Murphy, Wendy Roll, Radhakrishna G. Sampigethaya, Viswa Santhanam, Steven P. Weismuller: Challenges and Solutions for Embedded and Networked Aerospace Software Systems. Proceedings of the IEEE 98(4): 621-634 (2010)
c36		Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy: Time-Bounded Sequential Parameter Optimization. LION 2010: 281-298
c35		Mohammad Emtiyaz Khan, Benjamin M. Marlin, Guillaume Bouchard, Kevin P. Murphy: Variational bounds for mixed-data factor analysis. NIPS 2010: 1108-1116
	2009
j7		Sohrab P. Shah, K-John Cheung Jr., Nathalie A. Johnson, Guillaume Alain, Randy D. Gascoyne, Douglas E. Horsman, Raymond T. Ng, Kevin P. Murphy: Model-based clustering of array CGH data. Bioinformatics 25(12) (2009)
j6		Mark W. Schmidt, Ewout van den Berg, Michael P. Friedlander, Kevin P. Murphy: Optimizing Costly Functions with Simple Constraints: A Limited-Memory Projected Quasi-Newton Algorithm. Journal of Machine Learning Research - Proceedings Track 5: 456-463 (2009)
j5		Wei-Lwun Lu, Kevin P. Murphy, James J. Little, Alla Sheffer, Hongbo Fu: A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data. IEEE T. Geoscience and Remote Sensing 47(8-2): 2913-2922 (2009)
c34		Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy: An experimental investigation of model-based parameter optimisation: SPO and beyond. GECCO 2009: 271-278
c33		Benjamin M. Marlin, Kevin P. Murphy: Sparse Gaussian graphical models with unknown block structure. ICML 2009: 89
c32		Baback Moghaddam, Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy: Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models. NIPS 2009: 1285-1293
c31		Benjamin M. Marlin, Mark W. Schmidt, Kevin P. Murphy: Group Sparse Priors for Covariance Estimation. UAI 2009: 383-392
c30		Mark W. Schmidt, Kevin P. Murphy: Modeling Discrete Interventional Data using Directed Cyclic Graphical Models. UAI 2009: 487-495
	2008
j4		Bryan C. Russell, Antonio Torralba, Kevin P. Murphy, William T. Freeman: LabelMe: A Database and Web-Based Tool for Image Annotation. International Journal of Computer Vision 77(1-3): 157-173 (2008)
c29		Mark W. Schmidt, Kevin P. Murphy, Glenn Fung, Rómer Rosales: Structure learning in random fields for heart motion abnormality detection. CVPR 2008
	2007
j3		Daniel Eaton, Kevin P. Murphy: Exact Bayesian structure learning from uncertain interventions. Journal of Machine Learning Research - Proceedings Track 2: 107-114 (2007)
j2		Antonio Torralba, Kevin P. Murphy, William T. Freeman: Sharing Visual Features for Multiclass and Multiview Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 854-869 (2007)
c28		Mark W. Schmidt, Alexandru Niculescu-Mizil, Kevin P. Murphy: Learning Graphical Model Structure Using L1-Regularization Paths. AAAI 2007: 1278-1283
c27		Jordan Reynolds, Kevin P. Murphy: Figure-ground segmentation using a hierarchical conditional random field. CRV 2007: 175-182
c26		Julia Vogel, Kevin P. Murphy: A non-myopic approach to visual search. CRV 2007: 227-234
c25		Xiang Xuan, Kevin P. Murphy: Modeling changing dependency structure in multivariate time series. ICML 2007: 1055-1062
c24		Mirela Andronescu, Anne Condon, Holger H. Hoos, David H. Mathews, Kevin P. Murphy: Efficient parameter estimation for RNA secondary structure prediction. ISMB/ECCB (Supplement of Bioinformatics) 2007: 19-28
c23		Sohrab P. Shah, Wan L. Lam, Raymond T. Ng, Kevin P. Murphy: Modeling recurrent DNA copy number alterations in array CGH data. ISMB/ECCB (Supplement of Bioinformatics) 2007: 450-458
c22		Daniel Eaton, Kevin P. Murphy: Bayesian structure learning using dynamic programming and MCMC. UAI 2007: 101-108
	2006
c21		Antonio Torralba, Kevin P. Murphy, William T. Freeman: Shared Features for Multiclass Object Detection. Toward Category-Level Object Recognition 2006: 345-361
c20		Kevin P. Murphy, Antonio Torralba, Daniel Eaton, William T. Freeman: Object Detection and Localization Using Local and Global Features. Toward Category-Level Object Recognition 2006: 382-400
c19		S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy: Accelerated training of conditional random fields with stochastic gradient methods. ICML 2006: 969-976
c18		Sohrab P. Shah, Xiang Xuan, Ronald J. deLeeuw, Mehrnoush Khojasteh, Wan L. Lam, Raymond T. Ng, Kevin P. Murphy: Integrating copy number polymorphisms into array CGH analysis using a robust HMM. ISMB (Supplement of Bioinformatics) 2006: 431-439
	2004
c17		Antonio Torralba, Kevin P. Murphy, William T. Freeman: Sharing Features: Efficient Boosting Procedures for Multiclass Object Detection. CVPR (2) 2004: 762-769
c16		Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling: Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA 2004: 1045-1051
c15		Antonio Torralba, Kevin P. Murphy, William T. Freeman: Contextual Models for Object Detection Using Boosted Random Fields. NIPS 2004
	2003
c14		Antonio Torralba, Kevin P. Murphy, William T. Freeman, Mark A. Rubin: Context-based vision system for place and object recognition. ICCV 2003: 273-280
c13		Kevin P. Murphy, Antonio Torralba, William T. Freeman: Graphical Model For Recognizing Scenes and Objects. NIPS 2003
	2002
j1		Ara V. Nefian, Luhong Liang, Xiaobo Pi, Xiaoxing Liu, Kevin P. Murphy: Dynamic Bayesian Networks for Audio-Visual Speech Recognition. EURASIP J. Adv. Sig. Proc. 2002(11): 1274-1288 (2002)
c12		Ara V. Nefian, Luhong Liang, Xiaobo Pi, Xiaoxiang Liu, Crusoe Mao, Kevin P. Murphy: A coupled HMM for audio-visual speech recognition. ICASSP 2002: 2013-2016
	2001
c11		Kevin P. Murphy, Mark A. Paskin: Linear-time inference in Hierarchical HMMs. NIPS 2001: 833-840
c10		Kevin P. Murphy, Yair Weiss: The Factored Frontier Algorithm for Approximate Inference in DBNs. UAI 2001: 378-385
	2000
c9		Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, Stuart J. Russell: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. UAI 2000: 176-183
	1999
c8		James M. Rehg, Kevin P. Murphy, Paul W. Fieguth: Vision-Based Speaker Detection Using Bayesian Networks. CVPR 1999: 2110-2116
c7		Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy: A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models. ICCV 1999: 94-101
c6		Kevin P. Murphy: Bayesian Map Learning in Dynamic Environments. NIPS 1999: 1015-1021
c5		Kevin P. Murphy: A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables. UAI 1999: 457-466
c4		Kevin P. Murphy, Yair Weiss, Michael I. Jordan: Loopy Belief Propagation for Approximate Inference: An Empirical Study. UAI 1999: 467-475
	1998
c3		Nir Friedman, Kevin P. Murphy, Stuart J. Russell: Learning the Structure of Dynamic Probabilistic Networks. UAI 1998: 139-147
	1997
c2		John Binder, Kevin P. Murphy, Stuart J. Russell: Space-Efficient Inference in Dynamic Probabilistic Networks. IJCAI 1997: 1292-1296
	1995
c1		David B. Searls, Kevin P. Murphy: Automata-Theoretic Models of Mutation and Alignment. ISMB 1995: 341-349

Coauthor Index

Colors in the list of coauthors

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