25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011
26 Videos · Dec 12, 2011
About
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. ||[[:nipsworkshops2011_sierranevada]]||
Videos
Oral Session 1
Learning About Sensorimotor Data
Jan 25, 2012
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5936 views
A Non-Parametric Approach to Dynamic Programming
Jan 25, 2012
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4255 views
Oral Session 2
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilisti...
Jan 25, 2012
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4714 views
Oral Session 3
Priors over Recurrent Continuous Time Processes
Jan 25, 2012
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4514 views
Modelling Genetic Variations with Fragmentation-Coagulation Processes
Jan 25, 2012
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6466 views
Oral Session 4
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Jan 25, 2012
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3452 views
Oral Session 5
High-dimensional regression with noisy and missing data: Provable guarantees wit...
Jan 25, 2012
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6800 views
Learning Sparse Representations of High Dimensional Data on Large Scale Dictiona...
Jan 25, 2012
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9799 views
Sparsity: algorithms, approximations, and analysis
Jan 25, 2012
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9237 views
Oral Session 6
High-Dimensional Graphical Model Selection
Jan 25, 2012
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8325 views
From kernels to causal inference
Jan 25, 2012
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7712 views
Oral Session 7
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Jan 25, 2012
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9131 views
Oral Session 8
Efficient Online Learning via Randomized Rounding
Jan 25, 2012
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3466 views
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Jan 25, 2012
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6937 views
Oral Session 9
k-NN Regression Adapts to Local Intrinsic Dimension
Jan 25, 2012
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5539 views
Natural Algorithms
Sep 4, 2019
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80 views
Oral Session 10
Iterative Learning for Reliable Crowdsourcing Systems
Jan 25, 2012
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7176 views
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jan 25, 2012
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7853 views
Oral Session 11
The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer an...
Jan 25, 2012
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5727 views
Continuous-Time Regression Models for Longitudinal Networks
Jan 25, 2012
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3859 views
Oral Session 12
Fast and Accurate k-means For Large Datasets
Jan 25, 2012
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8481 views
Scalable Training of Mixture Models via Coresets
Jan 25, 2012
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5226 views
Oral Session 13
Empirical models of spiking in neural populations
Jan 25, 2012
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3653 views
Towards an Understanding of Olfactory Computation
Jan 25, 2012
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4570 views
Oral Session 14
Manifold Tangent Classifier
Jan 25, 2012
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9334 views
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Jan 25, 2012
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3348 views