Semi-supervised Learning (141)
04:19
Vector-Valued Property Elicitation
Aug 20, 2015 1809 views
04:12
Variable Selection is Hard
Aug 20, 2015 1910 views
19:29
Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms
Nov 30, 2011 2824 views
07:01
Truthful Linear Regression
Aug 20, 2015 3311 views
03:13
Thompson Sampling for Learning Parameterized Markov Decision Processes
Aug 20, 2015 1763 views
05:27
The oracle Complexity of Smooth Convex Optimization in Nonstandard Settings
Aug 20, 2015 1607 views
23:19
The Offset Tree for Learning with Partial Labels
Sep 14, 2009 3480 views
06:13
The landscape of the loss surfaces of multilayer networks
Aug 20, 2015 7522 views
19:23
The entropic barrier: a simple and optimal universal self-concordant barrier
Aug 20, 2015 3167 views
33:10
The Asymptotics of Semi-Supervised Learning in Discriminative Probabilistic Mode...
Aug 4, 2008 3919 views
18:12
Tensor principal component analysis
Aug 20, 2015 1659 views
15:11
TCA: High Dimensional Principal Component Analysis for non-Gaussian Data
Jan 16, 2013 5995 views
01:00:19
Synthetic theory of Ricci curvature - when information theory, optimization, geo...
Aug 20, 2015 3928 views
03:26
Symmetric Correspondence Topic Models for Multilingual Text Analysis
Jan 14, 2013 3509 views
16:05
Supervised Translation-Invariant Sparse Coding
Jul 19, 2010 6524 views
21:54
Subspace Regularization: A New Semi-Supervised Learning Method
Oct 20, 2009 3284 views
04:22
Stochastic Block Model and Community Detection in the Sparse Graphs: A spectral ...
Aug 20, 2015 1701 views
16:16
Spectral learning of linear dynamics from generalisedlinear observations with ap...
Jan 16, 2013 3191 views
16:07
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Jan 16, 2013 3565 views
04:59
Sequential Information Maximization: When is Greedy Near-optimal?
Aug 20, 2015 2006 views
Page 1 of 8