NIPS Conference 2011 - Granada

25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011

You are invited to participate in the Twenty-Fifth Annual Conference on Neural Information Processing Systems, which is the premier scientific meeting on Neural Computation.

The NIPS Conference features a single track program, with contributions from a large number of intellectual communities. Presentation topics include: Algorithms and Architectures; Applications; Brain Imaging; Cognitive Science and Artificial Intelligence; Control and Reinforcement Learning; Emerging Technologies; Learning Theory; Neuroscience; Speech and Signal Processing; and Visual Processing.

There are two Posner Lectures named in honor of Ed Posner who founded NIPS. Ed worked on communications and information theory at Caltech and was an early pioneer in neural networks. He organized the first NIPS conference and workshop in Denver in 1989 and incorporated the NIPS Foundation in 1992. He was an inpiring teacher and an effective leader. His untimely death in a bicycle accident in 1993 was a great loss to our community. This year's Posner Lecturers will be announced soon.

Detailed information can be found at NIPS 2011 Conference homepage.

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

NIPS Workshops 2011 - Sierra Nevada

NIPS Workshops, Sierra Nevada 2011NIPS Workshops, Sierra Nevada 2011

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Oral Session 1
[syn] 5880 views, 47:06 Posner Lecture Learning About Sensorimotor DataLearning About Sensorimotor Data Richard S. Sutton Richard S. Sutton	[syn] 4229 views, 18:44 A Non-Parametric Approach to Dynamic ProgrammingA Non-Parametric Approach to Dynamic Programming Oliver B Kroemer Oliver B Kroemer
Oral Session 2
[syn] 4691 views, 17:33 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic InferenceOn the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic ... Guy Van den Broeck Guy Van den Broeck
Oral Session 3
[syn] 6416 views, 18:22 Modelling Genetic Variations with Fragmentation-Coagulation ProcessesModelling Genetic Variations with Fragmentation-Coagulation Processes Yee Whye Teh Yee Whye Teh	[syn] 4492 views, 17:37 Priors over Recurrent Continuous Time ProcessesPriors over Recurrent Continuous Time Processes Ardavan Saeedi Ardavan Saeedi
Oral Session 4
[syn] 3426 views, 17:50 Generalization Bounds and Consistency for Latent Structural Probit and Ramp LossGeneralization Bounds and Consistency for Latent Structural Probit and Ramp ... David McAllester David McAllester
Oral Session 5
[syn] 9182 views, 44:15 Invited Talk Sparsity: algorithms, approximations, and analysisSparsity: algorithms, approximations, and analysis Anna Gilbert Anna Gilbert 2 comments	[syn] 9753 views, 16:26 Learning Sparse Representations of High Dimensional Data on Large Scale DictionariesLearning Sparse Representations of High Dimensional Data on Large Scale ... Zhen James Xiang Zhen James Xiang	[syn] 6748 views, 18:48 High-dimensional regression with noisy and missing data: Provable guarantees with non-convexityHigh-dimensional regression with noisy and missing data: Provable guarantees with ... Po-Ling Loh Po-Ling Loh
Oral Session 6
[syn] 7600 views, 46:28 Posner Lecture From kernels to causal inferenceFrom kernels to causal inference Bernhard Schölkopf Bernhard Schölkopf	[syn] 8279 views, 17:05 High-Dimensional Graphical Model SelectionHigh-Dimensional Graphical Model Selection Animashree Anandkumar Animashree Anandkumar
Oral Session 7
[syn] 9060 views, 15:20 Efficient Inference in Fully Connected CRFs with Gaussian Edge PotentialsEfficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krähenbühl Philipp Krähenbühl
Oral Session 8
[syn] 3437 views, 16:39 Efficient Online Learning via Randomized RoundingEfficient Online Learning via Randomized Rounding Ohad Shamir Ohad Shamir	[syn] 6887 views, 16:43 Convergence Rates of Inexact Proximal-Gradient Methods for Convex OptimizationConvergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization Mark Schmidt Mark Schmidt
Oral Session 9
[syn] 5473 views, 18:31 k-NN Regression Adapts to Local Intrinsic Dimensionk-NN Regression Adapts to Local Intrinsic Dimension Samory Kpotufe Samory Kpotufe
Oral Session 10
[syn] 7121 views, 19:48 Iterative Learning for Reliable Crowdsourcing SystemsIterative Learning for Reliable Crowdsourcing Systems Sewoong Oh Sewoong Oh	[syn] 7780 views, 16:15 A Collaborative Mechanism for Crowdsourcing Prediction ProblemsA Collaborative Mechanism for Crowdsourcing Prediction Problems Jacob Abernethy Jacob Abernethy 3 comments
Oral Session 11
[syn] 5693 views, 38:15 Invited Talk The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer and Search in the BrainThe Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer and ... Eörs Szathmáry, Chrisantha Fernando Eörs Szathmáry, Chrisantha Fernando	[syn] 3842 views, 17:02 Continuous-Time Regression Models for Longitudinal NetworksContinuous-Time Regression Models for Longitudinal Networks Arthur Asuncion Arthur Asuncion
Oral Session 12
[syn] 5191 views, 21:33 Scalable Training of Mixture Models via CoresetsScalable Training of Mixture Models via Coresets Matthew Faulkner Matthew Faulkner	[syn] 8430 views, 12:00 Fast and Accurate k-means For Large DatasetsFast and Accurate k-means For Large Datasets Michael Shindler Michael Shindler 2 comments
Oral Session 13
[syn] 4556 views, 46:24 Invited Talk Towards an Understanding of Olfactory ComputationTowards an Understanding of Olfactory Computation Gilles Laurent Gilles Laurent	[syn] 3619 views, 21:46 Empirical models of spiking in neural populationsEmpirical models of spiking in neural populations Lars Buesing Lars Buesing
Oral Session 14
[syn] 9132 views, 17:31 Manifold Tangent ClassifierManifold Tangent Classifier Yann Dauphin Yann Dauphin	[syn] 3333 views, 20:00 Reconstructing Patterns of Information Diffusion from Incomplete ObservationsReconstructing Patterns of Information Diffusion from Incomplete Observations Flavio Chierichetti Flavio Chierichetti

Reviews and comments:

1 Iain Murray, April 7, 2012 at 11:44 a.m.:

Tutorial Videos:
http://nips.cc/Conferences/2011/Progr...

Some workshop Videos:
http://videolectures.net/nipsworkshop...
http://googleresearch.blogspot.com/20...

2 melonplayground, August 7, 2023 at 5:40 a.m.:

The conference https://melonplayground.co program is organized in a single track and covers a wide range of topics related to neural information processing.

3 geometrydashfree, August 7, 2023 at 10:25 a.m.:

The conference is known https://geometrydashfree.org for its single-track program that features contributions from various intellectual communities.

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NIPS Conference 2011 - Granada

25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011

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