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Figen Öztoprak

Sabancı University

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Publication

Featured researches published by Figen Öztoprak.

Mathematical Programming | 2016

An inexact successive quadratic approximation method for L-1 regularized optimization

Richard H. Byrd; Jorge Nocedal; Figen Öztoprak

We study a Newton-like method for the minimization of an objective function

Journal of Global Optimization | 2013

Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies

Fatma Başak Aydemir; Akın Günay; Figen Öztoprak; Ş. İlker Birbil; Pinar Yolum

Optimization Methods & Software | 2014

An interior point method for nonlinear programming with infeasibility detection capabilities

Jorge Nocedal; Figen Öztoprak; Richard A. Waltz

\phi

Optimization Methods & Software | 2016

A second-order method for convex 1-regularized optimization with active-set prediction

Nitish Shirish Keskar; Jorge Nocedal; Figen Öztoprak; Andreas Wächter

agent and multi agent systems technologies and applications | 2009

Solving Global Optimization Problems Using MANGO

Akın Günay; Figen Öztoprak; Ş. İlker Birbil; Pinar Yolum

ϕ that is the sum of a smooth function and an

Optimization Methods & Software | 2011

A symmetric rank-one quasi-Newton line-search method using negative curvature directions

Figen Öztoprak; Ş. İlker Birbil

Optimization | 2018

An alternative globalization strategy for unconstrained optimization

Ş. İlker Birbil; S. Ilker Birbil; Figen Öztoprak

\ell _1

International Journal of Interdisciplinary Telecommunications and Networking | 2009

Distributed Algorithms for Delay Bounded Minimum Energy Wireless Broadcasting

Serkan Çiftlikli; Figen Öztoprak; Ozgur Ercetin; Kerem Bülbül

neural information processing systems | 2012

Newton-Like Methods for Sparse Inverse Covariance Estimation

Figen Öztoprak; Jorge Nocedal; Steven J. Rennie; Peder A. Olsen

ℓ1 regularization term. This method, which is sometimes referred to in the literature as a proximal Newton method, computes a step by minimizing a piecewise quadratic model

arXiv: Machine Learning | 2015

Parallel Stochastic Gradient Markov Chain Monte Carlo for Matrix Factorisation Models

Umut Şimşekli; Hazal Koptagel; Hakan Güldaş; A. Taylan Cemgil; Figen Öztoprak; Ş. İlker Birbil

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Collaboration

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Ş. İlker Birbil

Sabancı University

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S. Ilker Birbil

Sabancı University

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Jorge Nocedal

Northwestern University

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Akın Günay

Boğaziçi University

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Pinar Yolum

Boğaziçi University

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A. Taylan Cemgil

Boğaziçi University

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Fatma Başak Aydemir

Boğaziçi University

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Umut Şimşekli

Boğaziçi University

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Ali Taylan Cemgil

Boğaziçi University

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Hakan Güldaş

Boğaziçi University

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