Benjamin M. Marlin

Department of Computer Science, University of Massachusetts Amherst

	2012
j3		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)
c17		Benjamin M. Marlin, David C. Kale, Robinder G. Khemani, Randall C. Wetzel: Unsupervised pattern discovery in electronic health care data using probabilistic clustering models. IHI 2012: 389-398
i4		Benjamin M. Marlin, Nando de Freitas: Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood. CoRR abs/1202.3746 (2012)
i3		Benjamin M. Marlin, Mark W. Schmidt, Kevin P. Murphy: Group Sparse Priors for Covariance Estimation. CoRR abs/1205.2626 (2012)
i2		Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney: Collaborative Filtering and the Missing at Random Assumption. CoRR abs/1206.5267 (2012)
i1		Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin: Active Collaborative Filtering. CoRR abs/1212.2442 (2012)
	2011
c16		David K. Duvenaud, Benjamin M. Marlin, Kevin P. Murphy: Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification. CRV 2011: 371-378
c15		Benjamin M. Marlin, Mohammad Emtiyaz Khan, Kevin P. Murphy: Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models. ICML 2011: 633-640
c14		Kevin Swersky, Marc'Aurelio Ranzato, David Buchman, Benjamin M. Marlin, Nando de Freitas: On Autoencoders and Score Matching for Energy Based Models. ICML 2011: 1201-1208
c13		Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney: Recommender Systems, Missing Data and Statistical Model Estimation. IJCAI 2011: 2686-2691
c12		Benjamin M. Marlin, Nando de Freitas: Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood. UAI 2011: 497-505
	2010
j2		Benjamin M. Marlin, Kevin Swersky, Bo Chen, Nando de Freitas: Inductive Principles for Restricted Boltzmann Machine Learning. Journal of Machine Learning Research - Proceedings Track 9: 509-516 (2010)
c11		Kevin Swersky, Bo Chen, Benjamin M. Marlin, Nando de Freitas: A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets. ITA 2010: 80-89
c10		Mohammad Emtiyaz Khan, Benjamin M. Marlin, Guillaume Bouchard, Kevin P. Murphy: Variational bounds for mixed-data factor analysis. NIPS 2010: 1108-1116
	2009
c9		Benjamin M. Marlin, Kevin P. Murphy: Sparse Gaussian graphical models with unknown block structure. ICML 2009: 89
c8		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
c7		Benjamin M. Marlin, Richard S. Zemel: Collaborative prediction and ranking with non-random missing data. RecSys 2009: 5-12
c6		Benjamin M. Marlin, Mark W. Schmidt, Kevin P. Murphy: Group Sparse Priors for Covariance Estimation. UAI 2009: 383-392
	2007
c5		Benjamin M. Marlin, Richard S. Zemel, Sam T. Roweis, Malcolm Slaney: Collaborative Filtering and the Missing at Random Assumption. UAI 2007: 267-275
	2004
j1		Benjamin M. Marlin, Godfried T. Toussaint: Constructing convex 3-polytopes from two triangulations of a polygon. Comput. Geom. 28(1): 41-47 (2004)
c4		Benjamin M. Marlin, Richard S. Zemel: The multiple multiplicative factor model for collaborative filtering. ICML 2004
	2003
c3		Benjamin M. Marlin: Modeling User Rating Profiles For Collaborative Filtering. NIPS 2003
c2		Craig Boutilier, Richard S. Zemel, Benjamin M. Marlin: Active Collaborative Filtering. UAI 2003: 98-106
	2002
c1		Benjamin M. Marlin, Godfried T. Toussaint: Constructing convex 3-polytopes from two triangulations of a polygon. CCCG 2002: 36-39

Coauthor Index

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