101 search results - page 4 / 21 » Convergence of Gradient Dynamics with a Variable Learning Ra... |
MP
2011
13 years 2 months ago
2011
Abstract: We propose a first-order interior-point method for linearly constrained smooth optimization that unifies and extends first-order affine-scaling method and replicator d...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
IJCAI
2001
13 years 9 months ago
2001
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
JMLR
2010
13 years 2 months ago
2010
Contrastive Divergence (CD) is a popular method for estimating the parameters of Markov Random Fields (MRFs) by rapidly approximating an intractable term in the gradient of the lo...