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Gradient descent
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#	Item
181	1 Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan Abstract—We describe an object detection system based on mixtures of multis Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:34 Mathematics Filter Stochastic gradient descent Part-based models Statistics Statistical classification Support vector machine
182	Theory of Convex Optimization for Machine Learning S´ ebastien Bubeck1 1 Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2014-05-20 03:16:52 Convex optimization Convex function Subderivative R. Tyrrell Rockafellar Ellipsoid method Proper convex function Convex set Gradient descent Quasiconvex function Mathematical optimization Mathematical analysis Convex analysis
183	JMLR: Workshop and Conference Proceedings[removed]–436 24th Annual Conference on Learning Theory Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-01-02 12:01:13 Convex analysis Operations research Convex optimization Convex function Big O notation Gradient descent Mathematical optimization Mathematical analysis Numerical analysis
184	Journal of Machine Learning Research[removed]1754 Submitted 1/09; Revised 4/09; Published 7/09 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent Antoine Bordes∗ Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2010-02-26 11:07:32 Linear algebra Matrix theory Stochastic gradient descent Limited-memory BFGS Léon Bottou Matrix Eigenvalues and eigenvectors Mathematical optimization Algebra Mathematics Stochastic optimization
185	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: www.magicbroom.info Language: English - Date: 2012-09-24 14:25:51 Operations research Convex optimization Gradient descent Subgradient method Perceptron Stochastic gradient descent Gradient method BFGS method Numerical analysis Mathematical optimization Stochastic optimization
186	INTERSPEECH[removed]Bit Stochastic Gradient Descent and its Application to Data-Parallel Distributed Training of Speech DNNs Frank Seide1 , Hao Fu1,2 , Jasha Droppo3 , Gang Li1 , and Dong Yu3 1 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-09-23 19:30:18 Statistics Electronics Computational neuroscience Computational statistics Graphics hardware FLOPS Quantization Parallel computing Speech recognition Neural networks Computing Digital signal processing
187	No More Pesky Learning Rates Tom Schaul Sixin Zhang Yann LeCun Courant Institute of Mathematical Sciences Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2013-06-04 12:26:23 Computational statistics Neural networks Statistical theory Econometrics Fisher information Stochastic gradient descent Loss function Perceptron Yann LeCun Statistics Machine learning Estimation theory
188	Weak Constraints Network Optimiser Cyrille Berger Abstract— We present a general framework to estimate the parameters of both a robot and landmarks in 3D. It relies on the use of a stochastic gradient descent method fo Add to Reading List Source URL: www.ida.liu.se Language: English - Date: 2012-10-09 04:46:25 Pose Robot control Graph Tree Mathematics Decomposition method Computer vision Artificial intelligence Constraint programming
189	Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu, Benjamin Recht, Christopher R´e and Stephen J. Wright Computer Sciences Department, University of Wisconsin-Madison 1210 W Dayton St, Add to Reading List Source URL: pages.cs.wisc.edu Language: English - Date: 2011-11-11 14:41:37 Gradient descent Gradient Numerical analysis Mathematical analysis Mathematics
190	Statistical Tests for Optimization Efficiency Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling Department of Computer Science University of California, Irvine Irvine, CA[removed] Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2011-10-27 18:24:55 Estimation theory Parametric statistics Stochastic gradient descent Support vector machine Linear regression Statistics Econometrics Regression analysis