Benjamin M. Marlin

According to our database1, Benjamin M. Marlin authored at least 62 papers between 2002 and 2018.

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Bibliography

2018

2017
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
IEEE Trans. Image Processing, 2017

Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K).
IEEE Pervasive Computing, 2017

iLid: Low-power Sensing of Fatigue and Drowsiness Measures on a Computational Eyeglass.
IMWUT, 2017

Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
THE "I" IN THE EYE.
GetMobile, 2016

A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification.
CoRR, 2016

Learning Shallow Detection Cascades for Wearable Sensor-Based Mobile Health Applications.
CoRR, 2016

Learning Tree-Structured Detection Cascades for Heterogeneous Networks of Embedded Devices.
CoRR, 2016

Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series.
CoRR, 2016

Learning Time Series Detection Models from Temporally Imprecise Labels.
CoRR, 2016

Parsing wireless electrocardiogram signals with context free grammar conditional random fields.
Proceedings of the 2016 IEEE Wireless Health, 2016

Real-Time Program-Specific Phase Change Detection for Java Programs.
Proceedings of the 13th International Conference on Principles and Practices of Programming on the Java Platform: Virtual Machines, Languages, and Tools, Lugano, Switzerland, August 29, 2016

Assessing the limits of program-specific garbage collection performance.
Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2016

A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams.
Proceedings of the 33nd International Conference on Machine Learning, 2016

An Improved Data Representation for Smoking Detection with Wearable Respiration Sensors.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Domain adaptation methods for improving lab-to-field generalization of cocaine detection using wearable ECG.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

CIDER: enhancing the performance of computational eyeglasses.
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016

2015
Center of excellence for mobile sensor data-to-knowledge (MD2K).
JAMIA, 2015

Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces.
Comput. Graph. Forum, 2015

Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

iProgram: Inferring Smart Schedules for Dumb Thermostats.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

CIDER: Enabling Robustness-Power Tradeoffs on a Computational Eyeglass.
Proceedings of the 21st Annual International Conference on Mobile Computing and Networking, 2015

Isomap out-of-sample extension for noisy time series data.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

puffMarker: a multi-sensor approach for pinpointing the timing of first lapse in smoking cessation.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014
PERSPeCT: collaborative filtering for tailored health communications.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

iShadow: design of a wearable, real-time mobile gaze tracker.
Proceedings of the 12th Annual International Conference on Mobile Systems, 2014

iShadow: the computational eyeglass system.
Proceedings of the Eye Tracking Research and Applications, 2014

The Shape-Time Random Field for Semantic Video Labeling.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Conditional random fields for morphological analysis of wireless ECG signals.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Relation Extraction with Matrix Factorization and Universal Schemas.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Leveraging graphical models to improve accuracy and reduce privacy risks of mobile sensing.
Proceedings of the 11th Annual International Conference on Mobile Systems, 2013

Practical prediction and prefetch for faster access to applications on mobile phones.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Detecting cocaine use with wearable electrocardiogram sensors.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Detecting Signatures of Cocaine Using On-Body Sensors.
Proceedings of the AMIA 2013, 2013

Towards Collaborative Filtering Recommender Systems for Tailored Health Communications.
Proceedings of the AMIA 2013, 2013

2012
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Active Collaborative Filtering
CoRR, 2012

Collaborative Filtering and the Missing at Random Assumption
CoRR, 2012

Group Sparse Priors for Covariance Estimation
CoRR, 2012

Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood
CoRR, 2012

Unsupervised pattern discovery in electronic health care data using probabilistic clustering models.
Proceedings of the ACM International Health Informatics Symposium, 2012

2011
Asymptotic Efficiency of Deterministic Estimators for Discrete Energy-Based Models: Ratio Matching and Pseudolikelihood.
Proceedings of the UAI 2011, 2011

Recommender Systems, Missing Data and Statistical Model Estimation.
Proceedings of the IJCAI 2011, 2011

On Autoencoders and Score Matching for Energy Based Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

Piecewise Bounds for Estimating Bernoulli-Logistic Latent Gaussian Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

Multiscale Conditional Random Fields for Semi-supervised Labeling and Classification.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2011

2010
Inductive Principles for Restricted Boltzmann Machine Learning.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Variational bounds for mixed-data factor analysis.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets.
Proceedings of the Information Theory and Applications Workshop, 2010

2009
Group Sparse Priors for Covariance Estimation.
Proceedings of the UAI 2009, 2009

Collaborative prediction and ranking with non-random missing data.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Sparse Gaussian graphical models with unknown block structure.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2007
Collaborative Filtering and the Missing at Random Assumption.
Proceedings of the UAI 2007, 2007

2005
Unsupervised Learning with Non-Ignorable Missing Data.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Constructing convex 3-polytopes from two triangulations of a polygon.
Comput. Geom., 2004

The multiple multiplicative factor model for collaborative filtering.
Proceedings of the Machine Learning, 2004

2003
Active Collaborative Filtering.
Proceedings of the UAI '03, 2003

Modeling User Rating Profiles For Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Constructing convex 3-polytopes from two triangulations of a polygon.
Proceedings of the 14th Canadian Conference on Computational Geometry, 2002


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