NIPS Conference 2012 - Lake Tahoe

26th Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe 2012

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

Detailed information can be found at NIPS 2012 Conference homepage.

NIPS Spotlight Sessions videos are available at Video Journal of Machine Learning Abstracts - Volume 3

NIPS Workshops videos are available at NIPS Workshops, Lake Tahoe 2012

Categories

Top » Computer Science » Machine Learning


Posner Lectures
[syn] 7429 views, 51:03 Posner Lecture Challenges for Machine Learning in Computational SustainabilityChallenges for Machine Learning in Computational Sustainability Thomas Dietterich Thomas Dietterich	[syn] 8426 views, 48:07 Posner Lecture Suspicious Coincidences in the BrainSuspicious Coincidences in the Brain Terrence J. Sejnowski Terrence J. Sejnowski
Invited Talks
[syn] 30248 views, 53:11 Invited Talk Quantum information and the BrainQuantum information and the Brain Scott Aaronson Scott Aaronson 4 comments	[syn] 16348 views, 43:14 Invited Talk Classification with Deep Invariant Scattering NetworksClassification with Deep Invariant Scattering Networks Stéphane Mallat Stéphane Mallat	[syn] 5368 views, 49:44 Invited Talk Signatures of Conscious Processing in the Human BrainSignatures of Conscious Processing in the Human Brain Stanislas Dehaene Stanislas Dehaene	[syn] 54548 views, 25:19 Invited Talk Dropout: A simple and effective way to improve neural networksDropout: A simple and effective way to improve neural networks Geoffrey E. Hinton Geoffrey E. Hinton 1 comment	[syn] 5460 views, 18:47 Invited Talk Merck Molecular Activity ChallengeMerck Molecular Activity Challenge George E. Dahl George E. Dahl
Oral Sessions
[syn] 5899 views, 15:11 TCA: High Dimensional Principal Component Analysis for non-Gaussian DataTCA: High Dimensional Principal Component Analysis for non-Gaussian Data Fang Han Fang Han	[syn] 3488 views, 16:07 Spectral Learning of General Weighted Automata via Constrained Matrix CompletionSpectral Learning of General Weighted Automata via Constrained Matrix Completion Borja Balle Borja Balle	[syn] 3399 views, 18:10 Relax and Randomize: From Value to AlgorithmsRelax and Randomize: From Value to Algorithms Karthik Sridharan Karthik Sridharan	[syn] 7357 views, 15:20 A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training SetsA Stochastic Gradient Method with an Exponential Convergence Rate for ... Nicolas Le Roux Nicolas Le Roux	[syn] 3936 views, 14:27 Approximating Concavely Parameterized Optimization ProblemsApproximating Concavely Parameterized Optimization Problems Sören Laue Sören Laue
[syn] 3121 views, 16:16 Spectral learning of linear dynamics from generalisedlinear observations with application to neural population dataSpectral learning of linear dynamics from generalisedlinear observations with application ... Lars Buesing Lars Buesing	[syn] 3892 views, 15:12 High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer Disease Progression PredictionHigh-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for ... Hua Wang Hua Wang	[syn] 14918 views, 15:36 Multimodal Learning with Deep Boltzmann MachinesMultimodal Learning with Deep Boltzmann Machines Ruslan Salakhutdinov Ruslan Salakhutdinov	[syn] 13494 views, 16:41 Discriminative Learning of Sum-Product NetworksDiscriminative Learning of Sum-Product Networks Robert Gens Robert Gens 1 comment	[syn] 4314 views, 17:59 Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamicsAugmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics Ashwini Shukla Ashwini Shukla 1 comment
[syn] 2804 views, 15:16 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision ProcessesA Unifying Perspective of Parametric Policy Search Methods for Markov ... Thomas Furmston Thomas Furmston	[syn] 4147 views, 21:06 Privacy Aware LearningPrivacy Aware Learning John Duchi John Duchi	[syn] 2031 views, 17:20 On the (Non-)existence of Convex, Calibrated Surrogate Losses for RankingOn the (Non-)existence of Convex, Calibrated Surrogate Losses for Ranking Clément Calauzènes Clément Calauzènes	[syn] 5640 views, 14:26 Graphical Models via Generalized Linear ModelsGraphical Models via Generalized Linear Models Eunho Yang Eunho Yang	[syn] 6376 views, 19:00 No voodoo here! Learning discrete graphical models via inverse covariance estimationNo voodoo here! Learning discrete graphical models via inverse covariance ... Po-Ling Loh Po-Ling Loh
[syn] 5717 views, 21:53 Near-Optimal MAP Inference for Determinantal Point ProcessesNear-Optimal MAP Inference for Determinantal Point Processes Jennifer A. Gillenwater Jennifer A. Gillenwater	[syn] 3538 views, 18:46 Bayesian nonparametric models for bipartite graphsBayesian nonparametric models for bipartite graphs François Caron François Caron	[syn] 4836 views, 18:19 Strategic Impatience in Go/NoGo versus Forced-Choice Decision-MakingStrategic Impatience in Go/NoGo versus Forced-Choice Decision-Making Angela J. Yu Angela J. Yu	[syn] 3336 views, 18:07 Gradient Weights help Nonparametric RegressorsGradient Weights help Nonparametric Regressors Samory Kpotufe Samory Kpotufe