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Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop - Monte Carlo Methods for Modern Applications

Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop. This one-day workshop, associated with the 2010 Neural Information Processing Systems (NIPS). Conference, took place on Friday December 10, 2010 in Whistler, British Columbia. The workshop focussed on the practical application of modern Monte Carlo techniques to problems of interest in machine learning and beyond. We had six invited talks. Radford M. Neal. Chang...

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Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop - Monte Carlo Methods for Modern Applications | montecarlo.wikidot.com Reviews

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Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop. This one-day workshop, associated with the 2010 Neural Information Processing Systems (NIPS). Conference, took place on Friday December 10, 2010 in Whistler, British Columbia. The workshop focussed on the practical application of modern Monte Carlo techniques to problems of interest in machine learning and beyond. We had six invited talks. Radford M. Neal. Chang...

<META> KEYWORDS

1 create account

2 about the workshop

3 schedule

4 call for contributions

5 bibliography

6 contributed abstracts

7 organizers

8 ryan prescott adams

9 university of toronto

10 mark girolami

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create account,about the workshop,schedule,call for contributions,bibliography,contributed abstracts,organizers,ryan prescott adams,university of toronto,mark girolami,university college london,iain murray,university of edinburgh,advisory panel,sponsor

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Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop - Monte Carlo Methods for Modern Applications | montecarlo.wikidot.com Reviews

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Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop. This one-day workshop, associated with the 2010 Neural Information Processing Systems (NIPS). Conference, took place on Friday December 10, 2010 in Whistler, British Columbia. The workshop focussed on the practical application of modern Monte Carlo techniques to problems of interest in machine learning and beyond. We had six invited talks. Radford M. Neal. Chang...

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Relevant References - Monte Carlo Methods for Modern Applications

http://montecarlo.wikidot.com/bibliography

Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. Please add to this list! Anyone can create a wikidot account (top right) and start editing (bottom right) immediately. Please don't hesitate to contribute. Thanks! Chapters 29-30 of MacKay's book: http:/ www.inference.phy.cam.ac.uk/mackay/itila/book.html. Chapter 11 of Bishop's book: http:/ research.microsoft.com/en-us/um/people/cmbishop/PRML/. Or similar (please do add other alternatives if you have them). Randomized Pruning...

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Call For Contributions - Monte Carlo Methods for Modern Applications

http://montecarlo.wikidot.com/call-for-contributions

Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. We have updated the guidance on abstract length: send more than a page if you like. We invite submissions on Monte Carlo methods and their practical application. Particularly welcome are "tricks of the trade" and "war stories" that might not make it into conventional publications. Submissions are solicited both from researchers developing new methodology and from practitioners using established techniques. Click here to toggl...

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Contributed Abstracts - Monte Carlo Methods for Modern Applications

http://montecarlo.wikidot.com/contributed-abstracts

Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. Supporting documents for contributed posters. Diagnosing and Resolving Lack of MCMC Convergence in a Dynamic System Model. David A. Campbell. A flat histogram method for inference with probabilistic and deterministic constraints. Stefano Ermon, Carla Gomes, Ashish Sabharwal and Bart Selman ( one page version. Posterior Inference in Latent Gaussian Models Using Manifold MCMC Methods. Maurizio Filippone and Mark Girolami. Franç...

4

Schedule - Monte Carlo Methods for Modern Applications

http://montecarlo.wikidot.com/schedule

Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. 08:00 Review of open and contributed issues and discussion topics. 08:30 Field Report: Adaptive Particle MCMC for Mixed Effect Models and Stochastic Differential Equations. 9:30 Natively probabilistic computation: principles and applications. 10:00 Panel and general discussion. 15:30 Gaussian processes and compactly supported correlation functions. 16:00 MCMC for Bayesian Nonparametric Models: A Bag of Tricks. I will also dis...

5

About The Workshop - Monte Carlo Methods for Modern Applications

http://montecarlo.wikidot.com/about-the-workshop

Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. Why is the topic of interest, why should it be discussed? What does the workshop address and accomplish? How important is the dimensionality of the problem? What methods would be appropriate for discrete, continuous and hybrid distributions with varying properties such as: log-concavity, uni-modality, multi-modality and mega-modality, highly skewed regions and poor or unknown dimensional scaling? We also hope that the worksho...

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Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop - Monte Carlo Methods for Modern Applications

Monte Carlo Methods for Modern Applications. 2010 NIPS Workshop, Whistler, B.C. Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop. This one-day workshop, associated with the 2010 Neural Information Processing Systems (NIPS). Conference, took place on Friday December 10, 2010 in Whistler, British Columbia. The workshop focussed on the practical application of modern Monte Carlo techniques to problems of interest in machine learning and beyond. We had six invited talks. Radford M. Neal. Chang...

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