Practical Bayesian Methods for Big Data (2019 Workshop)

MIT-IBM Watson AI Lab

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<H2 CLASS="ibm-h4">Join us for the IBM Research workshop on Practical Bayesian Methods for Big Data, scheduled during AI Research Week in Cambridge, Massachusetts!</H2>
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<DIV CLASS="ibm-container"><SPAN><SPAN>Bayesian methods have long benefited from their ability to both coherently represent uncertainty and incorporate prior knowledge, but have traditionally struggled to scale to both large data and large models. Deep learning approaches empirically demonstrate the benefits of learning large over-parameterized models from large data, but struggle with producing well calibrated uncertainties. Research attempting to both scale up Bayesian methods and combine the benefits of either paradigm has recently garnered significant attention. Examples include deep generative models and Bayesian neural networks. This workshop will advance and accelerate research on statistical underpinnings of methods at this intersection, including recent advances in Bayesian approaches for learning neural network based models , deep learning methods for Bayesian modeling, methods for scaling up Bayesian inference to large models and data, and use of classical statistical tools for measuring robustness and reliability of deep learning models.</SPAN></SPAN></DIV>
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<DIV CLASS="ibm-container">For more information about the Practical Bayesian Methods for Big Data workshop, please visit: <A HREF="https://deeplybayesian.github.io/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://deeplybayesian.github.io/</A></DIV>
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<DIV CLASS="ibm-container">Practical Bayesian Methods for Big Data is a workshop held by IBM and MIT as part of the <A HREF="https://mitibmwatsonailab.mit.edu/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">MIT-IBM Watson AI Lab</A>. It is sponsored by the <A HREF="https://researcher.watson.ibm.com/researcher/view_group.php?id=9515" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">AI Systems research community</A>.<BR></DIV>
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<DIV CLASS="ibm-container"><STRONG>Questions?</STRONG> Contact Nghia Hoang at <A HREF="mailto:nghiaht@ibm.com" TARGET="_blank" TITLE="nghiaht@ibm.com" REL="nofollow noopener noreferrer">nghiaht@ibm.com</A>.<BR><STRONG></STRONG></DIV>
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<DIV CLASS="ibm-container">To<STRONG> Register</STRONG>, please click on the <STRONG>Register </STRONG>button (above).<BR></DIV>

MIT Samberg Conference Center

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Practical Bayesian Methods for Big Data (2019 Workshop)

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