Optimization Methods (101)
42:40
What cannot be learned with Bethe Approximations
Jan 16, 2013
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3685 views
06:35
Welcome to ROKS 2013
Aug 26, 2013
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3841 views
05:41
Welcome
Oct 13, 2014
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1518 views
01:07:45
Using Interior Point Methods for Optimization in Training Very Large Scale Suppo...
Aug 26, 2009
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8048 views
17:12
Tree Based Ensemble Models Regularization by Convex Optimization
Jan 19, 2010
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3919 views
01:25:34
Tools and Techniques for Sparse Optimization and Beyond
Oct 13, 2014
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1986 views
39:49
The Parameter Server
Jan 16, 2013
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9401 views
26:42
The Graph-guided Group Lasso
Aug 26, 2013
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4067 views
25:02
The First-Order View of Boosting Methods: Computational Complexity and Connectio...
Aug 26, 2013
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3253 views
01:26:42
Theano: a Fast Python Library for Modelling and Training
Oct 13, 2014
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3617 views
24:43
Surrogate-Based Optimization at ONERA: Some Recent Examples
Jul 20, 2009
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4741 views
51:21
Surrogate-based Constrained Multi-Objective Optimization
Jul 20, 2009
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8232 views
49:37
Surrogate Assisted Optimization Methods: Recent Developments and Challenges
Jul 20, 2009
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5615 views
20:34
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparse Learn...
Jan 19, 2010
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7471 views
17:32
Subspace Learning
Aug 26, 2013
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5498 views
57:29
Submodularity and Discrete Convexity
Jan 16, 2013
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9077 views
28:27
Structured Low-Rank Approximation as Optimization on a Grassmann Manifold
Aug 26, 2013
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4500 views
01:54:41
Stochastic Search Methods
Feb 25, 2007
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10682 views
24:38
Stochastic Methods for L1 Regularized Loss Minimization
Aug 26, 2009
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4158 views
17:48
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Jan 16, 2013
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3689 views
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