Statistical Learning (165)
21:25
Weak noise approximate inference for diffusion models
Nov 6, 2007
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3203 views
16:53
Volumetric Ellipsoids: An exploration basis for learning
Jul 15, 2014
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2133 views
24:26
Variational Inference and Experimental Design for Sparse Linear Models
Dec 18, 2008
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4472 views
21:53
Using features of probability distributions to achieve covariate shift
Feb 25, 2007
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6648 views
20:36
Unsupervised Estimation for Noisy-Channel Models
Jun 23, 2007
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6042 views
19:44
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiabil...
Jul 15, 2014
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2534 views
15:54
Uniqueness of ordinal embedding
Jul 15, 2014
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2722 views
26:12
Unified Loss Function and Estimating Function Based Learning
Feb 25, 2007
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3606 views
15:58
Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and N...
Jul 15, 2014
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2409 views
02:54:32
Tutorial on Statistical Machine Learning with Applications to Multimodal Process...
Feb 25, 2007
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11182 views
19:21
Trust Region Newton Methods for Large-Scale Logistic Regression
Jun 23, 2007
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9149 views
01:04:22
Tractable Inference for Probabilistic Models by Free Energy Approximations
Feb 25, 2007
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4525 views
40:03
The Sample-Computational Tradeo ff
Jan 16, 2013
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3941 views
06:24
The sample complexity of agnostic learning under deterministic labels
Jul 15, 2014
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3253 views
13:44
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussia...
Jul 15, 2014
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3416 views
37:19
The incoherence condition in additive models
Dec 18, 2008
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5532 views
20:20
The Geometry of Losses
Jul 15, 2014
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2340 views
13:53
The complexity of learning halfspaces using generalized linear methods
Jul 15, 2014
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2442 views
15:11
TCA: High Dimensional Principal Component Analysis for non-Gaussian Data
Jan 16, 2013
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5966 views
19:17
SVD and Higher Order Correlations for Distributed Data
Jul 15, 2014
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2575 views
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