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Stochastic gradient descent
Results: 144

#	Item
111	Lifted Parameter Learning in Relational Models Babak Ahmadi1 [removed] Kristian Kersting1,2,3 [removed] Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 13:16:28 Theoretical computer science M-estimators Stochastic optimization Estimation theory Stochastic gradient descent Markov logic network Conditional random field Gradient boosting Maximum likelihood Statistics Machine learning Probability and statistics
112	Lifted Online Training of Relational Models with Stochastic Gradient Methods Babak Ahmadi1 , Kristian Kersting1,2,3 , and Sriraam Natarajan3 1 2 Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 11:37:23 Machine learning Theoretical computer science M-estimators Maximum likelihood Markov random field Statistical relational learning Conditional random field Stochastic gradient descent Belief propagation Statistics Graphical models Statistical models
113	Lifted Parameter Learning in Relational Models Babak Ahmadi1 [removed] Kristian Kersting1,2,3 [removed] Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 13:16:28 Theoretical computer science M-estimators Stochastic optimization Estimation theory Stochastic gradient descent Markov logic network Conditional random field Gradient boosting Maximum likelihood Statistics Machine learning Probability and statistics
114	Neural Networks[removed]–1451 www.elsevier.com/locate/neunet The general inefficiency of batch training for gradient descent learning D. Randall Wilsona,, Tony R. Martinezb,1 Add to Reading List Source URL: axon.cs.byu.edu Language: English* - Date: 2004-09-07 12:33:44 Numerical analysis Backpropagation Perceptron Gradient descent Reinforcement learning Gradient Multilayer perceptron Stochastic gradient descent Neural networks Machine learning Mathematics
115	Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization Shai Shalev-Shwartz School of Computer Science and Engineering, The Hebrew University, Jerusalem, Israel Tong Zhang Department of S Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Mathematical optimization Stochastic optimization Stochastic gradient descent Convex optimization Support vector machine Duality Lp space Distribution Vector space Algebra Mathematics Mathematical analysis
116	Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable Lauren A. Hannah Duke University Durham, NC 27701 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-11-02 06:13:04 Stochastic optimization Operations research Mathematical optimization Dirichlet process Stochastic approximation Newsvendor model Mixture model Stochastic gradient descent Gradient descent Statistics Probability and statistics Numerical analysis
117	Fast Stochastic Alternating Direction Method of Multipliers Leon Wenliang Zhong WZHONG @ CSE . UST. HK James T. Kwok JAMESK @ CSE . UST. HK Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 Operations research Applied mathematics Stochastic gradient descent Gradient descent Linear programming Numerical analysis Mathematical optimization Stochastic optimization
118	Journal of Machine Learning Research[removed]627 Submitted 10/13; Revised 12/13; Published 2/14 Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-24 23:29:33 Big O notation Estimation theory Statistics Mathematics Stochastic approximation Stochastic optimization
119	c 2012 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 22, No. 2, pp. 674–701 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-07-22 18:55:21 Convex analysis Stochastic optimization Convex function Mathematical optimization Lipschitz continuity Normal distribution Lp space Gradient descent Stochastic gradient descent Mathematical analysis Mathematics Fourier analysis
120	IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 58, NO. 5, MAY[removed]Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-05-10 11:53:02 Convex analysis Operations research Convex optimization Convex function Lipschitz continuity Computational complexity theory Oracle machine Stochastic gradient descent PP Mathematical optimization Mathematical analysis Mathematics

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