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Gradient descent
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#	Item
41	A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 , Wojciech Kotłowski1 , and Roman Słowiński1,2 1 2 Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Generalized functions Smooth functions Ensemble learning Gradient boosting Distribution Loss function Gradient descent Mathematical optimization Logarithm operator Dirac delta function
42	Sebastian U. Stich MADALGO & CTIC Summer SchoolInstitute of Theoretical Computer Science Add to Reading List Source URL: sstich.ch Language: English - Date: 2011-09-05 06:18:42 Evolutionary algorithms Mathematical optimization Operations research Stochastic optimization CMA-ES Convex optimization Global optimization Gradient descent Evolution strategy Gaussian adaptation Derivative-free optimization Gradient method
43	Towards Optimal One Pass Large Scale Learning with Averaged Stochastic Gradient Descent Wei Xu Add to Reading List Source URL: arxiv.org Language: English - Date: 2011-12-22 22:14:38 Econometrics Estimation theory Statistical theory M-estimators Regression analysis Loss function Stochastic gradient descent Linear regression
44	Randomized Smoothing Techniques in Optimization Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-10-16 22:22:19 Mathematical optimization Gradient descent Convex function Convex optimization Loss functions for classification
45	Journal of Machine Learning Research) ??-?? Submitted; Revised; PublishedEfficient Online and Batch Learning using Forward Backward Splitting Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:08 Mathematical optimization Convex analysis Convex optimization Subgradient method Gradient descent Lipschitz continuity Subderivative Support vector machine
46	Sutton, Richard PIN Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2013-10-18 16:05:54 Computational neuroscience Belief revision Reinforcement learning Computational statistics Q-learning Temporal difference learning Artificial neural network Machine learning Markov decision process Mathematical optimization Algorithm Gradient descent
47	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt , Matthew D. Hoffman , David M. Blei 1 2 Add to Reading List Source URL: www.stephanmandt.com Language: English - Date: 2016-06-23 13:49:43 Estimation theory Statistical theory Econometrics M-estimators Stochastic processes Loss function OrnsteinUhlenbeck process Stochastic gradient descent Likelihood function
48	Rectified Factor Networks Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-03 06:11:45 Computational statistics Machine learning Computational biology Sepp Hochreiter Artificial neural networks Computational neuroscience Deep learning Autoencoder Principal component analysis Normal distribution Stochastic gradient descent Support vector machine
49	GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results Philip S. Thomas School of Computer Science, University of Massachusetts, Amherst, MAUSA Add to Reading List Source URL: psthomas.com Language: English - Date: 2014-06-29 23:37:30 Differential geometry Fourier analysis Multivariable calculus Gradient descent Metric tensor Multiplier Directional derivative Mathematical optimization Fisher information
50	A General Framework for Learning an Ensemble of Decision Rules Krzysztof Dembczyński1 Wojciech Kotłowski1 Roman Słowiński1,2 Institute of Computing Science, Poznań University of Technology, Poznań, Poland Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2009-11-06 11:55:58 Ensemble learning Gradient boosting Generalized functions Distribution Loss function Mathematical optimization Gradient descent Expected value Linear least squares Dirac delta function

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