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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5948 views

A Non-Parametric Approach to Dynamic Programming
Jan 25, 2012
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4261 views
Oral Session 2

On the Completeness of First-Order Knowledge Compilation for Lifted Probabilisti...
Jan 25, 2012
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4719 views
Oral Session 3

Priors over Recurrent Continuous Time Processes
Jan 25, 2012
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4521 views

Modelling Genetic Variations with Fragmentation-Coagulation Processes
Jan 25, 2012
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6485 views
Oral Session 4

Generalization Bounds and Consistency for Latent Structural Probit and Ramp Loss
Jan 25, 2012
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3454 views
Oral Session 5

High-dimensional regression with noisy and missing data: Provable guarantees wit...
Jan 25, 2012
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6805 views

Learning Sparse Representations of High Dimensional Data on Large Scale Dictiona...
Jan 25, 2012
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9809 views

Sparsity: algorithms, approximations, and analysis
Jan 25, 2012
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9250 views
Oral Session 6

High-Dimensional Graphical Model Selection
Jan 25, 2012
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8336 views

From kernels to causal inference
Jan 25, 2012
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7730 views
Oral Session 7

Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Jan 25, 2012
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9185 views
Oral Session 8

Efficient Online Learning via Randomized Rounding
Jan 25, 2012
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3471 views

Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Jan 25, 2012
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6943 views
Oral Session 9

k-NN Regression Adapts to Local Intrinsic Dimension
Jan 25, 2012
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5545 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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7188 views

A Collaborative Mechanism for Crowdsourcing Prediction Problems
Jan 25, 2012
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7868 views
Oral Session 11

The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer an...
Jan 25, 2012
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5740 views

Continuous-Time Regression Models for Longitudinal Networks
Jan 25, 2012
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3865 views
Oral Session 12

Fast and Accurate k-means For Large Datasets
Jan 25, 2012
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8492 views

Scalable Training of Mixture Models via Coresets
Jan 25, 2012
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5242 views
Oral Session 13

Empirical models of spiking in neural populations
Jan 25, 2012
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3668 views

Towards an Understanding of Olfactory Computation
Jan 25, 2012
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4574 views
Oral Session 14

Manifold Tangent Classifier
Jan 25, 2012
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9365 views

Reconstructing Patterns of Information Diffusion from Incomplete Observations
Jan 25, 2012
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3355 views