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10/20/2019
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Guaranteeing a certain level of user privacy in an arbitrary piece of te...
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10/20/2019
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Accurately learning from user data while providing quantifiable privacy ...
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08/07/2019
HyperStream: a Workflow Engine for Streaming Data
This paper describes HyperStream, a large-scale, flexible and robust sof...
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05/26/2019
Automatic Discovery of Privacy-Utility Pareto Fronts
Differential privacy is a mathematical framework for privacy-preserving ...
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05/15/2019
Distribution Calibration for Regression
We are concerned with obtaining well-calibrated output distributions fro...
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04/24/2019
Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients
Continual learning aims to enable machine learning models to learn a gen...
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03/26/2019
Privacy-preserving Active Learning on Sensitive Data for User Intent Classification
Active learning holds promise of significantly reducing data annotation ...
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03/12/2019
Continual Learning in Practice
This paper describes a reference architecture for self-maintaining syste...
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03/10/2019
β^3-IRT: A New Item Response Model and its Applications
Item Response Theory (IRT) aims to assess latent abilities of respondent...
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02/04/2017
Probabilistic Sensor Fusion for Ambient Assisted Living
There is a widely-accepted need to revise current forms of health-care p...
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02/25/2015
