Optimization Methods (101)
42:40
What cannot be learned with Bethe Approximations
Jan 16, 2013
·
3676 views
06:35
Welcome to ROKS 2013
Aug 26, 2013
·
3832 views
05:41
Welcome
Oct 13, 2014
·
1513 views
01:07:45
Using Interior Point Methods for Optimization in Training Very Large Scale Suppo...
Aug 26, 2009
·
8034 views
17:12
Tree Based Ensemble Models Regularization by Convex Optimization
Jan 19, 2010
·
3910 views
01:25:34
Tools and Techniques for Sparse Optimization and Beyond
Oct 13, 2014
·
1973 views
39:49
The Parameter Server
Jan 16, 2013
·
9380 views
26:42
The Graph-guided Group Lasso
Aug 26, 2013
·
4049 views
25:02
The First-Order View of Boosting Methods: Computational Complexity and Connectio...
Aug 26, 2013
·
3246 views
01:26:42
Theano: a Fast Python Library for Modelling and Training
Oct 13, 2014
·
3606 views
24:43
Surrogate-Based Optimization at ONERA: Some Recent Examples
Jul 20, 2009
·
4730 views
51:21
Surrogate-based Constrained Multi-Objective Optimization
Jul 20, 2009
·
8220 views
49:37
Surrogate Assisted Optimization Methods: Recent Developments and Challenges
Jul 20, 2009
·
5599 views
20:34
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparse Learn...
Jan 19, 2010
·
7461 views
17:32
Subspace Learning
Aug 26, 2013
·
5494 views
57:29
Submodularity and Discrete Convexity
Jan 16, 2013
·
9043 views
28:27
Structured Low-Rank Approximation as Optimization on a Grassmann Manifold
Aug 26, 2013
·
4491 views
01:54:41
Stochastic Search Methods
Feb 25, 2007
·
10663 views
24:38
Stochastic Methods for L1 Regularized Loss Minimization
Aug 26, 2009
·
4150 views
17:48
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Jan 16, 2013
·
3675 views
Page 1 of 6