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06/19/2023
Understanding Generalization in the Interpolation Regime using the Rate Function
In this paper, we present a novel characterization of the smoothness of ...
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12/13/2021
From Anecdote to Evidence: The Relationship Between Personality and Need for Cognition of Developers
There is considerable anecdotal evidence suggesting that software engine...
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10/26/2021
Diversity and Generalization in Neural Network Ensembles
Ensembles are widely used in machine learning and, usually, provide stat...
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06/25/2021
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
We present a new second-order oracle bound for the expected risk of a we...
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12/18/2019
Learning from i.i.d. data under model miss-specification
This paper introduces a new approach to learning from i.i.d. data under ...
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12/18/2019
Learning under Model Misspecification: Applications to Variational and Ensemble methods
This paper provides a novel theoretical analysis of the problem of learn...
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08/29/2019
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy
InferPy is a Python package for probabilistic modeling with deep neural ...
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08/09/2019
Probabilistic Models with Deep Neural Networks
Recent advances in statistical inference have significantly expanded the...
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04/04/2017
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning
The AMIDST Toolbox is a software for scalable probabilistic machine lear...
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04/27/2016