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Gradient descent
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#	Item
121	Mixing Paradigms: Genetic Operators that are Gradient-Descent approximations Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2006-11-17 21:29:21 Mathematical optimization Search algorithms Philosophy of biology Science Mutation GNOME Display Manager Crossover Genetic programming Natural selection Genetic algorithms Evolutionary biology Biology
122	On the importance of initialization and momentum in deep learning Ilya Sutskever1 James Martens George Dahl Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-14 14:30:22 Mathematics Mathematical optimization Stochastic gradient descent Convex optimization Gradient descent Backpropagation Perceptron Gradient method Autoencoder Neural networks Numerical analysis Applied mathematics
123	Spectral Projected Gradient Descent for Efficient and Large Scale Generalized Multiple Kernel Learning Ashesh Jain S. V. N. Vishwanathan Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2013-01-13 21:21:11 Statistical classification Support vector machine Stochastic gradient descent Mathematical optimization Gradient descent Shogun Gradient method Numerical analysis Statistics Machine learning
124	CS/CNS/EE 156b Learning Systems - Project Summary http://www.cs.caltech.edu/~ling/course/cs156b/ Ling Li, December 7, 2001 Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2005-11-24 18:42:35 Computational statistics Cybernetics Econometrics Network architecture Stochastic gradient descent Applied mathematics Neural networks Statistics Computational neuroscience
125	/home/tgd/s/ashenfelter/ml2004/tech-report/paper.dvi Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 22:29:55 Ensemble learning Gradient boosting Gradient descent AdaBoost Gradient BFGS method Numerical analysis Mathematical analysis Mathematics
126	Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback Ankan Saha University of Chicago Add to Reading List Source URL: people.cs.uchicago.edu Language: English - Date: 2011-04-04 16:05:29 Convex analysis Operations research Convex optimization Convex function Interior point method Lipschitz continuity Linear programming Self-concordant function Gradient descent Mathematical optimization Numerical analysis Mathematical analysis
127	Stochastic gradient descent with differentially private updates Shuang Song Kamalika Chaudhuri Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2014-02-01 13:52:02 Mathematics Stochastic gradient descent Differential privacy Perceptron Gradient descent Mathematical optimization Stochastic approximation Algorithm Numerical analysis Stochastic optimization Applied mathematics
128	Notes on Conjugate-Gradient Ling Li, Learning Systems Group, Caltech Minimize the error function E(w) with CG • start: w0 , d0 = −g0 = − Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2005-11-24 18:42:35 Gradient method Numerical analysis Numerical linear algebra Gradient descent
129	Journal of Machine Learning Research–57 Submitted 11/08; Revised 11/09; Published -/10 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2010-03-07 22:04:30 Limited-memory BFGS BFGS method Quasi-Newton method Gradient descent Orthant-wise limited-memory quasi-Newton Wolfe conditions Convex optimization Hessian matrix Subderivative Numerical analysis Mathematical analysis Mathematical optimization
130	Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm Alexander G. Schwing University of Toronto, 10 King’s College Rd., Toronto, Canada Tamir Hazan University of Haifa, Haifa, Israel Add to Reading List Source URL: www.alexander-schwing.de Language: English - Date: 2014-05-11 20:22:32 Operations research Convex optimization Linear programming Relaxation Duality Quadratic programming Support vector machine Frank–Wolfe algorithm Gradient descent Mathematical optimization Numerical analysis Mathematics