25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011
25 Lectures · 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]]||
Related categories
Uploaded videos:
Oral Session 1
Learning About Sensorimotor Data
Jan 25, 2012
·
5925 Views
A Non-Parametric Approach to Dynamic Programming
Jan 25, 2012
·
4250 Views
Oral Session 2
On the Completeness of First-Order Knowledge Compilation for Lifted Probabilisti...
Jan 25, 2012
·
4700 Views
Oral Session 3
Modelling Genetic Variations with Fragmentation-Coagulation Processes
Jan 25, 2012
·
6451 Views
Priors over Recurrent Continuous Time Processes
Jan 25, 2012
·
4505 Views
Oral Session 4
Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Jan 25, 2012
·
3446 Views
Oral Session 5
Sparsity: algorithms, approximations, and analysis
Jan 25, 2012
·
9221 Views
Learning Sparse Representations of High Dimensional Data on Large Scale Dictiona...
Jan 25, 2012
·
9785 Views
High-dimensional regression with noisy and missing data: Provable guarantees wit...
Jan 25, 2012
·
6782 Views
Oral Session 6
From kernels to causal inference
Jan 25, 2012
·
7677 Views
High-Dimensional Graphical Model Selection
Jan 25, 2012
·
8314 Views
Oral Session 7
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Jan 25, 2012
·
9108 Views
Oral Session 8
Efficient Online Learning via Randomized Rounding
Jan 25, 2012
·
3461 Views
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Jan 25, 2012
·
6926 Views
Oral Session 9
k-NN Regression Adapts to Local Intrinsic Dimension
Jan 25, 2012
·
5504 Views
Oral Session 10
Iterative Learning for Reliable Crowdsourcing Systems
Jan 25, 2012
·
7160 Views
A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jan 25, 2012
·
7839 Views
Oral Session 11
The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer an...
Jan 25, 2012
·
5716 Views
Continuous-Time Regression Models for Longitudinal Networks
Jan 25, 2012
·
3853 Views
Oral Session 12
Scalable Training of Mixture Models via Coresets
Jan 25, 2012
·
5210 Views
Fast and Accurate k-means For Large Datasets
Jan 25, 2012
·
8465 Views
Oral Session 13
Towards an Understanding of Olfactory Computation
Jan 25, 2012
·
4561 Views
Empirical models of spiking in neural populations
Jan 25, 2012
·
3644 Views
Oral Session 14
Manifold Tangent Classifier
Jan 25, 2012
·
9245 Views
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Jan 25, 2012
·
3339 Views