25th Annual Conference on Neural Information Processing Systems (NIPS), Granada 2011 (original) (raw)
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 DataJan 25, 2012 · 5952 viewsA Non-Parametric Approach to Dynamic ProgrammingOliver B KroemerJan 25, 2012 · 4262 views
Oral Session 2
Oral Session 3
Priors over Recurrent Continuous Time ProcessesArdavan SaeediJan 25, 2012 · 4524 viewsModelling Genetic Variations with Fragmentation-Coagulation ProcessesYee Whye TehJan 25, 2012 · 6490 views
Oral Session 4
Oral Session 5
High-dimensional regression with noisy and missing data: Provable guarantees wit...Po-Ling LohJan 25, 2012 · 6818 viewsLearning Sparse Representations of High Dimensional Data on Large Scale Dictiona...Zhen James XiangJan 25, 2012 · 9814 viewsSparsity: algorithms, approximations, and analysisAnna GilbertJan 25, 2012 · 9259 views
Oral Session 6
High-Dimensional Graphical Model SelectionAnimashree AnandkumarJan 25, 2012 · 8341 viewsFrom kernels to causal inferenceBernhard SchölkopfJan 25, 2012 · 7741 views
Oral Session 7
Oral Session 8
Efficient Online Learning via Randomized RoundingOhad ShamirJan 25, 2012 · 3473 viewsConvergence Rates of Inexact Proximal-Gradient Methods for Convex OptimizationMark SchmidtJan 25, 2012 · 6948 views
Oral Session 9
k-NN Regression Adapts to Local Intrinsic DimensionSamory KpotufeJan 25, 2012 · 5553 viewsNatural AlgorithmsBernard Chazelle
Oral Session 10
Iterative Learning for Reliable Crowdsourcing SystemsSewoong OhJan 25, 2012 · 7196 viewsA Collaborative Mechanism for Crowdsourcing Prediction ProblemsJacob AbernethyJan 25, 2012 · 7879 views
Oral Session 11
The Neuronal Replicator Hypothesis: Novel Mechanisms for Information Transfer an...Eörs Szathmáry,Chrisantha FernandoJan 25, 2012 · 5742 viewsContinuous-Time Regression Models for Longitudinal NetworksArthur AsuncionJan 25, 2012 · 3869 views
Oral Session 12
Fast and Accurate k-means For Large DatasetsMichael ShindlerJan 25, 2012 · 8496 viewsScalable Training of Mixture Models via CoresetsMatthew FaulknerJan 25, 2012 · 5249 views
Oral Session 13
Empirical models of spiking in neural populationsLars BuesingJan 25, 2012 · 3673 viewsTowards an Understanding of Olfactory ComputationGilles LaurentJan 25, 2012 · 4577 views
Oral Session 14
Manifold Tangent ClassifierYann DauphinJan 25, 2012 · 9406 viewsReconstructing Patterns of Information Diffusion from Incomplete ObservationsFlavio ChierichettiJan 25, 2012 · 3360 views