PPT-CS B553: Algorithms for Optimization and Learning

Author : faustina-dinatale | Published Date : 2016-03-19

Gradient descent Key Concepts Gradient descent Line search Convergence rates depend on scaling Variants discrete analogues coordinate descent Random restarts Gradient

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CS B553: Algorithms for Optimization and Learning: Transcript

Gradient descent Key Concepts Gradient descent Line search Convergence rates depend on scaling Variants discrete analogues coordinate descent Random restarts Gradient direction is orthogonal to the level sets contours of f. Combinatorial and Graph Algorithms. Welcome!. CS5234 Overview. Combinatorial & Graph Algorithms. http://. www.comp.nus.edu.sg/~cs5234/. Instructor: . Seth Gilbert. Office: . COM2-204. Office hours: . : Algorithms . for Optimization and Learning. Global optimization. 1. Agenda: . Global Optimization. Local search, optimization. Branch and bound search. Online . search. 3. Global . Optimization. min . for Geometry Processing. Justin Solomon. Princeton University. David . Bommes. RWTH Aachen University. This Morning’s Focus. Optimization.. Synonym(-. ish. ):. . Variational. methods.. This Morning’s Focus. Linear programming, quadratic programming, sequential quadratic programming. Key ideas. Linear programming. Simplex method. Mixed-integer linear programming. Quadratic programming. Applications. Radiosurgery. Learning. Structure . Learning. Agenda. Learning probability distributions from . example data. To what extent can Bayes net structure be learned?. Constraint methods (inferring conditional independence). Ranga Rodrigo. April 6, 2014. Most of the sides are from the . Matlab. tutorial.. 1. Introduction. Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple maxima or minima. . Bayesian . Networks. agenda. Probabilistic . inference . queries. Top-down . inference. Variable elimination. Probability Queries. Given: some probabilistic model over variables . X. Find: distribution over . 10 Bat Algorithms Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier, 2014 The bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010. 10.1 Echolocation of Bats Additive manufacturing (AM) is expanding the range of designable geometries, but to exploit this evolving design space new methods are required to find optimum solutions. Finite element based topology J ZicoKolterRecent Advances in Algorithms for Energy DisaggregationThe GoalDetermine breakdown of power given wholehome consumption eg from smart meterTotal PowerJ ZicoKolterRecent Advances in Algorit The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand

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