Bayesian Nonparametric Methods: Hope or Hype?

Bayesian Nonparametric Methods: Hope or Hype?

9 Lectures · Dec 17, 2011

About

Bayesian nonparametric methods are an expanding part of the machine learning landscape. Proponents of Bayesian nonparametrics claim that these methods enable one to construct models that can scale their complexity with data, while representing uncertainty in both the parameters and the structure. Detractors point out that the characteristics of the models are often not well understood and that inference can be unwieldy. Relative to the statistics community, machine learning practitioners of Bayesian nonparametrics frequently do not leverage the representation of uncertainty that is inherent in the Bayesian framework. Neither do they perform the kind of analysis --- both empirical and theoretical --- to set skeptics at ease. In this workshop we hope to bring a wide group together to constructively discuss and address these goals and shortcomings.

Workshop homepage: http://people.seas.harvard.edu/~rpa/nips2011npbayes.html

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Uploaded videos:

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01:04:23

Why Bayesian nonparametrics?

Zoubin Ghahramani

Jan 24, 2012

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23617 Views

Lecture

Invited Talks

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32:37

Spatial Bayesian Nonparametrics for Natural Image Segmentation

Erik Sudderth

Jan 24, 2012

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Invited Talk
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16:39

Discussion of Erik Sudderth's talk: NPB Hype or Hope?

Yann LeCun

Jan 24, 2012

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11196 Views

Lecture
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32:45

Two tales about Bayesian nonparametric modeling

Igor Prünster

Jan 24, 2012

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6905 Views

Invited Talk
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13:06

Discussion of Igor Pruenster´s talk

Peter Orbanz

Jan 24, 2012

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4610 Views

Lecture
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31:48

Scaling Latent Variable Models

Alex Smola

Jan 24, 2012

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5922 Views

Invited Talk
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20:21

Discussion of Alex Smola's talk: Remarks on parallelised MCMC

Yee Whye Teh

Jan 24, 2012

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6310 Views

Lecture
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34:23

What to do about M-open? A decision theoretic (distribution free) solution

Christopher Holmes

Jan 24, 2012

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3483 Views

Invited Talk
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10:43

Discussion of Christopher Holmes's talk: What to do about M-open?

Nando de Freitas

Jan 31, 2012

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5025 Views

Lecture