JMLR: Workshop and Conference Proceedings vol 40:1–46, 2015 Escaping From Saddle Points – Online Stochastic Gradient for Tensor Decomposition Rong Ge - Muntinlupa Science High School - Document - PDFSEARCH.IO

First Page		Document Content
Date: 2015-07-20 20:08:36 Mathematical analysis Numerical analysis Mathematical optimization Multivariable calculus Convex analysis Stochastic optimization Convex optimization Stochastic gradient descent Hessian matrix Gradient descent Lagrange multiplier Higher-order singular value decomposition		JMLR: Workshop and Conference Proceedings vol 40:1–46, 2015 Escaping From Saddle Points – Online Stochastic Gradient for Tensor Decomposition Rong Ge Add to Reading List Source URL: jmlr.org Download Document from Source Website File Size: 589,62 KB Share Document on Facebook

	ON THE LASSERRE HIERARCHY OF SEMIDEFINITE PROGRAMMING RELAXATIONS OF CONVEX POLYNOMIAL OPTIMIZATION PROBLEMS ETIENNE DE KLERK∗ AND MONIQUE LAURENT† Abstract. The Lasserre hierarchy of semidefinite programming approxi DocID: 1vq1m - View Document
	A Lower Bound for the Optimization of Finite Sums A. Optimization of a strongly convex smooth functions The most accessible derivation of this classic lower bound (Nesterov, 2004) relies on the simplifying assumption th DocID: 1vmQl - View Document
	Information Complexity of Black-Box Convex Optimization: A New Look Via Feedback Information Theory DocID: 1vf1S - View Document
	Embedded Convex Optimization with CVXPY Nicholas Moehle, Jacob Mattingley, Stephen Boyd Stanford University February 2018 DocID: 1va1o - View Document
	Operator Splitting Methods for Convex Optimization Analysis and Implementation Goran Banjac St Edmund Hall DocID: 1v2Df - View Document