Self-concordant function

Results: 6



#Item
1Mathematical optimization / Convex analysis / Operations research / Convex optimization / Machine learning / Self-concordant function / Interior point method / Ellipsoid method / Linear programming / Algorithm / Convex set / Stability

4164 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 58, NO. 7, JULY 2012 Interior-Point Methods for Full-Information and Bandit Online Learning

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Source URL: www-stat.wharton.upenn.edu

Language: English - Date: 2013-03-18 20:18:38
2Convex 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

Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback Ankan Saha University of Chicago

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Source URL: people.cs.uchicago.edu

Language: English - Date: 2011-04-04 16:05:29
3Mathematics / Convex optimization / Interior point method / Linear programming / Self-concordant function / Distribution / Mathematical analysis / Mathematical optimization / Operations research

Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization Jacob Abernethy Computer Science Division UC Berkeley [removed]

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Source URL: web.eecs.umich.edu

Language: English - Date: 2013-10-28 18:03:14
4Linear programming / Convex analysis / Self-concordant function / Interior point method / Ellipsoid method / Algorithm / Convex function / Stability / Shapley–Folkman lemma / Mathematical optimization / Operations research / Convex optimization

4164 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 58, NO. 7, JULY 2012 Interior-Point Methods for Full-Information and Bandit Online Learning

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Source URL: stat.wharton.upenn.edu

Language: English - Date: 2013-03-18 20:18:38
5Self-concordant function / Riemannian manifold / Hessian matrix / Mathematical analysis / Calculus / Mathematical optimization

A class of self-concordant functions on Riemannian manifolds Gabriel Bercu and Mihai Postolache Abstract. The notion of self-concordant function on Euclidean spaces was introduced and studied by Nesterov and Nemirovsky [

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Source URL: www.emis.de

Language: English - Date: 2009-06-04 01:05:40
6Convex optimization / Convex analysis / Operations research / Linear programming / Interior point method / Self-concordant function / Convex function / Convex cone / Conic optimization / Mathematical optimization / Mathematical analysis / Mathematics

SIAM J. OPTIM. Vol. 20, No. 1, pp. 548–571 c 2009 Society for Industrial and Applied Mathematics 

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Source URL: www.ece.umd.edu

Language: English - Date: 2009-05-14 12:59:56
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