Statistical Learning (165)

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Weak noise approximate inference for diffusion models

Andreas Ruttor

Nov 6, 2007

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3208 views

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16:53

Volumetric Ellipsoids: An exploration basis for learning

Zohar Karnin

Jul 15, 2014

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2143 views

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24:26

Variational Inference and Experimental Design for Sparse Linear Models

Matthias W. Seeger,

Hannes Nickisch

Dec 18, 2008

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4475 views

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21:53

Using features of probability distributions to achieve covariate shift

Alex Smola

Feb 25, 2007

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6649 views

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20:36

Unsupervised Estimation for Noisy-Channel Models

Markos Mylonakis

Jun 23, 2007

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6052 views

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19:44

Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiabil...

Moses Charikar

Jul 15, 2014

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2542 views

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15:54

Uniqueness of ordinal embedding

Matthäus Kleindessner

Jul 15, 2014

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2732 views

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26:12

Unified Loss Function and Estimating Function Based Learning

Mark van der Laan

Feb 25, 2007

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3608 views

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15:58

Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and N...

Francesco Orabona

Jul 15, 2014

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2415 views

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02:54:32

Tutorial on Statistical Machine Learning with Applications to Multimodal Process...

Samy Bengio

Feb 25, 2007

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11190 views

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19:21

Trust Region Newton Methods for Large-Scale Logistic Regression

Chin Jen Lin

Jun 23, 2007

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9163 views

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01:04:22

Tractable Inference for Probabilistic Models by Free Energy Approximations

Manfred Opper

Feb 25, 2007

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4528 views

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40:03

The Sample-Computational Tradeo ff

Shai Shalev-Shwartz

Jan 16, 2013

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3946 views

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06:24

The sample complexity of agnostic learning under deterministic labels

Ruth Urner

Jul 15, 2014

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3260 views

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13:44

The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussia...

Joseph Anderson

Jul 15, 2014

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3426 views

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37:19

The incoherence condition in additive models

Sara van de Geer

Dec 18, 2008

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5542 views

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20:20

The Geometry of Losses

Robert C. Williamson

Jul 15, 2014

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2345 views

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13:53

The complexity of learning halfspaces using generalized linear methods

Amit Daniely

Jul 15, 2014

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2455 views

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15:11

TCA: High Dimensional Principal Component Analysis for non-Gaussian Data

Fang Han

Jan 16, 2013

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5985 views

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19:17

SVD and Higher Order Correlations for Distributed Data

Ravindran Kannan

Jul 15, 2014

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2588 views