NIPS Workshops 2011 - Sierra Nevada

NIPS Workshops, Sierra Nevada 2011

The Post-Conference Workshop Program covered a wide range of topics from Neuroscience to Machine Learning.

Detailed information can be found at NIPS 2011 Workshops homepage.

Click on the picture for the videos from 2011 NIPS Conference.

NIPS Conference 2011 - Granada

25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 201125th Annual Conference on Neural Information Processing Systems (NIPS), Granada ...

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Cosmology meets Machine Learning From Statistical Genetics to Predictive Models in Personalized Medicine New Frontiers in Model Order Selection Optimization for Machine Learning Relations between machine learning problems – an approach to unify the field Bayesian Nonparametric Methods: Hope or Hype? Choice Models and Preference Learning Discrete Optimization in Machine Learning Machine Learning meets Computational Photography


Cosmology meets Machine Learning
[syn] 4388 views, 30:36 Invited Talk Astronomical DataAstronomical Data Robert Lupton Robert Lupton	[syn] 5950 views, 33:22 Invited Talk Theories of EverythingTheories of Everything David W. Hogg David W. Hogg 2 comments	[syn] 3896 views, 37:05 Invited Talk Challenges in Cosmic ShearChallenges in Cosmic Shear Alexandre Refregier Alexandre Refregier	[syn] 4687 views, 33:19 Invited Talk Learning How to Reconstruct the Cosmic Microwave Background Learning How to Reconstruct the Cosmic Microwave Background Jean-Luc Starck Jean-Luc Starck	[syn] 3842 views, 04:11 Spotlight Type Ia Supernova Inference: Hierarchical Bayesian Statistical Models in the Optical and Near InfraredType Ia Supernova Inference: Hierarchical Bayesian Statistical Models in the ... Kaisey S. Mandel Kaisey S. Mandel
[syn] 3724 views, 04:11 Spotlight Quasar classification and characterization from broadband multi-filter, multi-epoch data setsQuasar classification and characterization from broadband multi-filter, multi-epoch data sets Jo Bovy Jo Bovy	[syn] 4350 views, 04:09 Spotlight Probing non-Gaussianities in the CMB with Minkowski Functionals and Scaling Indices using surrogatesProbing non-Gaussianities in the CMB with Minkowski Functionals and Scaling ... Heike Modest Heike Modest	[syn] 3346 views, 04:13 Spotlight Probing non-Gaussianities in the CMB on an incomplete sky using surrogatesProbing non-Gaussianities in the CMB on an incomplete sky using ... Gregor Rossmanith Gregor Rossmanith	[syn] 3683 views, 04:09 Spotlight Processing Shear Maps with Karhunen-Loeve AnalysisProcessing Shear Maps with Karhunen-Loeve Analysis Jacob VanderPlas Jacob VanderPlas	[syn] 3364 views, 03:29 Spotlight Galaxy overdensity estimation: toward learning the missing dataGalaxy overdensity estimation: toward learning the missing data Franois-Xavier Dupé Franois-Xavier Dupé
[syn] 3945 views, 04:14 Spotlight Future dark energy probes and their robustness to systematicsFuture dark energy probes and their robustness to systematics Marisa Cristina March Marisa Cristina March	[syn] 4194 views, 04:27 Spotlight Efficient Estimation of N-point Spatial StatisticsEfficient Estimation of N-point Spatial Statistics Alexander Gray Alexander Gray	[syn] 3192 views, 03:49 Spotlight Evaluation of the Topological and Morphological Characteristics of the LSS During Evolution Process by Means of Minkowski FunctionalsEvaluation of the Topological and Morphological Characteristics of the LSS ... Irina Sidorenko Irina Sidorenko	[syn] 3674 views, 03:40 Spotlight Neural Networks and GREAT10 GalaxiesNeural Networks and GREAT10 Galaxies Adam Gauci Adam Gauci	[syn] 3223 views, 04:17 Spotlight GREAT3: The next weak lensing data challengeGREAT3: The next weak lensing data challenge Barnaby Rowe Barnaby Rowe
[syn] 3822 views, 03:52 Spotlight Dictionary Learning and Astronomical Image RestorationDictionary Learning and Astronomical Image Restoration Simon Beckouche Simon Beckouche	[syn] 3454 views, 04:23 Spotlight Measurement Errors in AstrostatisticsMeasurement Errors in Astrostatistics Alexander Gray Alexander Gray	[syn] 4664 views, 03:00 Spotlight The MultiDark Database for cosmological simulationsThe MultiDark Database for cosmological simulations Ginevra Favole Ginevra Favole 1 comment	[syn] 4104 views, 04:34 Spotlight Extracting Structural Information from Images of Spiral GalaxiesExtracting Structural Information from Images of Spiral Galaxies Wayne Hayes Wayne Hayes	[syn] 5924 views, 54:52 Panel Discussion Opportunities for cosmology to meet machine learningOpportunities for cosmology to meet machine learning Bernhard Schölkopf, Rob Fergus, et al. Bernhard Schölkopf, Rob Fergus, Neil D. Lawrence, David W. Hogg, Alexandre Refregier, Jean-Luc Starck, Robert Lupton, Iain Murray, Phil Marshall
[syn] 3764 views, 20:42 Closing remarksClosing remarks Phil Marshall Phil Marshall
From Statistical Genetics to Predictive Models in Personalized Medicine
[syn] 3187 views, 04:10 Welcome and Introduction to the Morning SessionWelcome and Introduction to the Morning Session Karsten Michael Borgwardt Karsten Michael Borgwardt	[syn] 4845 views, 53:01 Keynote Talk From Genomes to Personalized Medicine: Reverse Engineering Biological SystemsFrom Genomes to Personalized Medicine: Reverse Engineering Biological Systems Pierre Baldi Pierre Baldi	[syn] 3848 views, 38:36 Keynote Talk New advances in the genetics of melanoma: how can it contribute to personalized medicine?New advances in the genetics of melanoma: how can it ... Florence Demenais Florence Demenais	[syn] 3882 views, 02:27 Spotlight Visualization and Prediction of Disease Interactions with Continuous-Time Hidden Markov ModelsVisualization and Prediction of Disease Interactions with Continuous-Time Hidden Markov ... Jose M. Leiva-Murillo Jose M. Leiva-Murillo	[syn] 3370 views, 02:16 Spotlight Discovering Latent Structure in Clinical DatabasesDiscovering Latent Structure in Clinical Databases Jesse Davis Jesse Davis
[syn] 4254 views, 03:09 Spotlight Learning Classification Trees for Personalized Cardiovascular Risk StratificationLearning Classification Trees for Personalized Cardiovascular Risk Stratification Anima Singh Anima Singh	[syn] 3443 views, 03:23 Spotlight Patient Surveillance Algorithms for the Emergency DepartmentPatient Surveillance Algorithms for the Emergency Department Yonatan Halpern Yonatan Halpern	[syn] 3620 views, 22:36 Lecture Detecting similar high-dimensional responses to experimental factors from human and model organismDetecting similar high-dimensional responses to experimental factors from human and ... Tommi Suvitaival Tommi Suvitaival	[syn] 2950 views, 01:39 Welcome and Introduction to the Afternoon SessionWelcome and Introduction to the Afternoon Session Oliver Stegle Oliver Stegle	[syn] 3749 views, 51:48 Keynote Talk Personal genomics in psychiatry - a personal viewPersonal genomics in psychiatry - a personal view Bertram Müller-Myhsok Bertram Müller-Myhsok 1 comment
[syn] 3981 views, 28:56 Lecture Inferring a measure of physiological age from multiple ageing related phenotypesInferring a measure of physiological age from multiple ageing related ... David Knowles David Knowles	[syn] 3531 views, 03:56 Spotlight Multi-source Survival analysisMulti-source Survival analysis Ali Faisal Ali Faisal	[syn] 4921 views, 03:17 Spotlight On the Promise of Topic Models for Abstracting Complex Medical Data: A Study of Patients and their MedicationsOn the Promise of Topic Models for Abstracting Complex Medical ... Jenna Wiens Jenna Wiens	[syn] 4923 views, 02:39 Spotlight FaST linear mixed models for genome-wide association studiesFaST linear mixed models for genome-wide association studies Christoph Lippert Christoph Lippert	[syn] 3925 views, 04:19 Spotlight Sparse Linear Models Explain Phenotypic Variation and Predict Risk of Complex DiseaseSparse Linear Models Explain Phenotypic Variation and Predict Risk of ... Gad Abraham Gad Abraham
[syn] 3835 views, 04:32 Spotlight Modeling Rate of Change in Renal Function for Individual Patients: A Longitudinal Model Based on Routinely Collected DataModeling Rate of Change in Renal Function for Individual Patients: ... Norman Poh Norman Poh	[syn] 3442 views, 32:40 Lecture Accuracy test for genome wide selection of bio-markersAccuracy test for genome wide selection of bio-markers Adam Kowalczyk Adam Kowalczyk
New Frontiers in Model Order Selection
[syn] 3072 views, 02:18 IntroductionIntroduction Yevgeny Seldin Yevgeny Seldin	[syn] 4193 views, 49:38 Invited Talk Model Selection in Markovian ProcessesModel Selection in Markovian Processes Shie Mannor Shie Mannor	[syn] 4399 views, 44:21 Invited Talk Autonomous Exploration in Reinforcement LearningAutonomous Exploration in Reinforcement Learning Peter Auer Peter Auer 1 comment	[syn] 4053 views, 52:35 Invited Talk Model Selection in ExplorationModel Selection in Exploration John Langford John Langford	[syn] 4779 views, 48:05 Invited Talk Future Information Minimization as PAC Bayes regularization in Reinforcement LearningFuture Information Minimization as PAC Bayes regularization in Reinforcement Learning Naftali Tishby Naftali Tishby
[syn] 4063 views, 20:38 Lecture BErMin: A Model Selection Algorithm for Reinforcement Learning ProblemsBErMin: A Model Selection Algorithm for Reinforcement Learning Problems Amir-massoud Farahmand Amir-massoud Farahmand	[syn] 4010 views, 18:27 Lecture Selecting the state representation in reinforcement LearningSelecting the state representation in reinforcement Learning Odalric-Ambrym Maillard Odalric-Ambrym Maillard	[syn] 4363 views, 11:33 Poster Session Poster sessionPoster session Alexandre Lacoste, Nicolas Baskiotis, et al. Alexandre Lacoste, Nicolas Baskiotis, Stefan Kremer, Aurélie Boisbunon, Morteza Haghir Chehreghani, Yuri Grinberg, Amir-massoud Farahmand, Marina Sapir, Mohammad Ghavamzadeh, Yevgeny Seldin
Optimization for Machine Learning
[syn] 50521 views, 1:09:15 Invited Talk Alternating Direction Method of MultipliersAlternating Direction Method of Multipliers Stephen P. Boyd Stephen P. Boyd 1 comment	[syn] 7775 views, 51:54 Invited Talk Lock-Free Approaches to Parallelizing Stochastic Gradient DescentLock-Free Approaches to Parallelizing Stochastic Gradient Descent Benjamin Recht Benjamin Recht	[syn] 3970 views, 23:06 Stochastic optimization with non-i.id. noiseStochastic optimization with non-i.id. noise Alekh Agarwal Alekh Agarwal	[syn] 4413 views, 19:44 Steppest descent analysis for unregularized linear prediction with strictly convex penaltiesSteppest descent analysis for unregularized linear prediction with strictly convex ... Matus Telgarsky Matus Telgarsky	[syn] 4231 views, 19:55 Making Gradient Descent Optimal for Strongly Convex Stochastic OptimizationMaking Gradient Descent Optimal for Strongly Convex Stochastic Optimization Ohad Samir Ohad Samir
[syn] 5012 views, 20:52 Fast first-order methods for convex optimization with line searchFast first-order methods for convex optimization with line search Katya Scheinberg Katya Scheinberg	[syn] 4510 views, 24:24 Path coding penalties for directed acyclic graphsPath coding penalties for directed acyclic graphs Julien Mairal Julien Mairal
Relations between machine learning problems – an approach to unify the field
[syn] 8815 views, 23:39 Relations Betweeen Machine Learning ProblemsRelations Betweeen Machine Learning Problems Robert C. Williamson Robert C. Williamson	[syn] 6093 views, 54:15 Lecture Machine Learning MarketsMachine Learning Markets Amos Storkey Amos Storkey 1 comment	[syn] 4565 views, 1:04:54 Lecture Efficient Market Making via Convex Optimization & Connection to Online LearningEfficient Market Making via Convex Optimization & Connection to Online ... Jenn Wortman Vaughan Jenn Wortman Vaughan	[syn] 4129 views, 52:38 Lecture We need a BIT more GUTS (Grand Unified Theory of Statistics)We need a BIT more GUTS (Grand Unified Theory of ... Peter Grünwald Peter Grünwald	[syn] 4226 views, 26:20 Lecture Anatomy of a Learning ProblemAnatomy of a Learning Problem Mark Reid Mark Reid
[syn] 3530 views, 24:21 Lecture Degrees of SupervisionDegrees of Supervision Dario Garcia Garcia Dario Garcia Garcia
Bayesian Nonparametrics: Hope or Hype?
[syn] 23569 views, 1:04:23 Plenary Talk Why Bayesian nonparametrics?Why Bayesian nonparametrics? Zoubin Ghahramani Zoubin Ghahramani 2 comments	[syn] 5564 views, 32:37 Invited Talk Spatial Bayesian Nonparametrics for Natural Image SegmentationSpatial Bayesian Nonparametrics for Natural Image Segmentation Erik Sudderth Erik Sudderth	[syn] 11121 views, 16:39 Discussant Discussion of Erik Sudderth's talk: NPB Hype or Hope?Discussion of Erik Sudderth's talk: NPB Hype or Hope? Yann LeCun Yann LeCun	[syn] 6892 views, 32:45 Invited Talk Two tales about Bayesian nonparametric modelingTwo tales about Bayesian nonparametric modeling Igor Prünster Igor Prünster	[syn] 4595 views, 13:06 Discussant Discussion of Igor Pruenster´s talkDiscussion of Igor Pruenster´s talk Peter Orbanz Peter Orbanz
[syn] 5906 views, 31:48 Invited Talk Scaling Latent Variable ModelsScaling Latent Variable Models Alex Smola Alex Smola	[syn] 6298 views, 20:21 Discussant Discussion of Alex Smola's talk: Remarks on parallelised MCMCDiscussion of Alex Smola's talk: Remarks on parallelised MCMC Yee Whye Teh Yee Whye Teh	[syn] 3471 views, 34:23 Invited Talk What to do about M-open? A decision theoretic (distribution free) solutionWhat to do about M-open? A decision theoretic (distribution free) ... Christopher Holmes Christopher Holmes	[syn] 5014 views, 10:43 Discussant Discussion of Christopher Holmes's talk: What to do about M-open?Discussion of Christopher Holmes's talk: What to do about M-open? Nando de Freitas Nando de Freitas
Choice Models and Preference Learning
[syn] 3084 views, 12:27 OpeningOpening Onno Zoeter Onno Zoeter	[syn] 4559 views, 47:25 Invited Talk Online Learning with Implicit User PreferencesOnline Learning with Implicit User Preferences Thorsten Joachims Thorsten Joachims	[syn] 4409 views, 43:20 Invited Talk Collaborative Learning of Preferences for Recommending Games and MediaCollaborative Learning of Preferences for Recommending Games and Media Thore Graepel Thore Graepel 2 comments	[syn] 5989 views, 47:32 Invited Talk Probabilistic Models for Preference LearningProbabilistic Models for Preference Learning Zoubin Ghahramani Zoubin Ghahramani	[syn] 3855 views, 28:04 Exact Bayesian Pairwise Preference Learning and Inference on the Uniform Convex PolytopeExact Bayesian Pairwise Preference Learning and Inference on the Uniform ... Scott Sanner Scott Sanner
[syn] 4559 views, 21:23 Label Ranking with Abstention: Predicting Partial Orders by Thresholding Probability DistributionsLabel Ranking with Abstention: Predicting Partial Orders by Thresholding Probability ... Weiwei Cheng Weiwei Cheng	[syn] 2963 views, 29:39 Selective Sampling with Almost Optimal Guarantees for Learning to Rank from Pairwise PreferencesSelective Sampling with Almost Optimal Guarantees for Learning to Rank ... Ron Begleiter Ron Begleiter
Discrete Optimization in Machine Learning
[syn] 4623 views, 05:12 Introduction to Jack Edmonds´s talkIntroduction to Jack Edmonds´s talk Jeff A. Bilmes Jeff A. Bilmes	[syn] 8881 views, 1:27:21 Keynote Talk Polymatroids and SubmodularityPolymatroids and Submodularity Jack Edmonds Jack Edmonds	[syn] 5535 views, 49:07 Invited Talk Exploiting Problem Structure for Efficient Discrete OptimizationExploiting Problem Structure for Efficient Discrete Optimization Pushmeet Kohli Pushmeet Kohli	[syn] 7574 views, 44:51 Invited Talk Learning with Submodular Functions: A Convex Optimization PerspectiveLearning with Submodular Functions: A Convex Optimization Perspective Francis R. Bach Francis R. Bach	[syn] 4308 views, 50:27 Invited Talk Combinatorial prediction gamesCombinatorial prediction games Nicolò Cesa-Bianchi Nicolò Cesa-Bianchi 12 comments
Machine Learning meets Computational Photography
[syn] 2988 views, 03:44 Opening remarksOpening remarks Stefan Harmeling Stefan Harmeling	[syn] 5292 views, 36:23 Invited Talk From Image Restoration to Compressive Sampling in Computational Photography. A Bayesian Perspective.From Image Restoration to Compressive Sampling in Computational Photography. A ... Rafael Molina Rafael Molina	[syn] 12119 views, 37:53 Invited Talk Old and New algorithm for Blind DeconvolutionOld and New algorithm for Blind Deconvolution Yair Weiss Yair Weiss	[syn] 7355 views, 42:21 Invited Talk The Light Field Camera: Extended Depth of Field, Aliasing and SuperresolutionThe Light Field Camera: Extended Depth of Field, Aliasing and ... Paolo Favaro Paolo Favaro	[syn] 4077 views, 32:59 Invited Talk Efficient Regression for Computational Photography: from Color Management to Omnidirectional SuperresolutionEfficient Regression for Computational Photography: from Color Management to Omnidirectional ... Maya Gupta Maya Gupta
[syn] 6031 views, 38:31 Invited Talk Real-time Image Enhancement Using Edge-Optimized a-trous WaveletsReal-time Image Enhancement Using Edge-Optimized a-trous Wavelets Hendrik Lensch Hendrik Lensch 1 comment	[syn] 7015 views, 33:28 Invited Talk Superresolution imaging - from equations to mobile applicationsSuperresolution imaging - from equations to mobile applications Filip Šroubek Filip Šroubek 1 comment	[syn] 6382 views, 38:37 Invited Talk Modeling the Digital Camera Pipeline: From RAW to sRGB and BackModeling the Digital Camera Pipeline: From RAW to sRGB and ... Michael S. Brown Michael S. Brown 1 comment	[syn] 5382 views, 29:35 Invited Talk 2D and 3D Multiscale Geometric Transforms2D and 3D Multiscale Geometric Transforms Jean-Luc Starck Jean-Luc Starck

Reviews and comments:

1 xianghang liu, January 24, 2012 at 3:29 a.m.:

Why are some videos locked?

2 Yaroslav Bulatov, January 28, 2012 at 8:59 a.m.:

are more videos coming?

3 Theophane Weber, January 30, 2012 at 9:25 p.m.:

I remember seeing a video camera in the big learning workshop - I am assuming they should show up here at some point?

4 Iain Murray, February 29, 2012 at 10:50 a.m.:

More workshop videos (from the ones with a Google organizer) are here: http://googleresearch.blogspot.com/20...

5 Iain Murray, April 7, 2012 at 11:42 a.m.:

Tutorials:
http://nips.cc/Conferences/2011/Progr...

Oral Sessions:
http://videolectures.net/nips2011_gra...

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NIPS Workshops 2011 - Sierra Nevada

NIPS Workshops, Sierra Nevada 2011

Event sections

Cosmology meets Machine Learning

From Statistical Genetics to Predictive Models in Personalized Medicine

New Frontiers in Model Order Selection

Optimization for Machine Learning

Relations between machine learning problems – an approach to unify the field

Bayesian Nonparametrics: Hope or Hype?

Choice Models and Preference Learning

Discrete Optimization in Machine Learning

Machine Learning meets Computational Photography

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