Faculty

Institution

Unit

Venue

Fatma Kılınç-Karzan

Associate Professor of Operations Research Associate Professor of Computer Science by courtesy

Carnegie Mellon University

Affiliations

Tepper School of Business

Fatma Kılınç-karzan is currently serving as a Tepper School Of Business Associate Professor of Operations Research Associate Professor of Computer Science by courtesy at Carnegie Mellon University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Fatma Kılınç-Karzan

Carnegie Mellon University

Associate Professor of Operations Research Associate Professor of Computer Science by courtesy

You can click a keyword to filter the displayed items

applied mathematics mathematical programming mathematical optimization computational optimization convex analysis approximation theory computational mathematics computer science global optimization numerical algorithms mathematics theoretical computer science operations research convex optimization combinatorial optimization optimization problems conic optimization computational complexity theory of computation engineering optimization linear programming quadratic programming machine learning continuous optimization spectral theory discrete algorithms constrained optimization data science multidisciplinary optimization signal reconstruction compressive sensing decision science nonlinear programming sparse representations robust optimization exploration v exploitation convex hulls mixed integer optimization risk management sequential decision making matrix analysis preference modeling behavioural process quantum chromodynamics dynamic optimization stochastic optimization information theory discrete optimization probabilistic computations revealed preferences choice models policy modeling relaxation process trust management architecture computational trust statistical signal processing probabilistic system second-order cone wasserstein ambiguity information-based branching schemes sdp relaxations management science production research filtering technique trust-region subproblem right-hand side uncertainty robust chance-constrained programs two-term disjunctions second order cone minimal valid inequalities solution complexity end-to-end prediction risk guarantees optimization processes smoothing functions problem structure logic in computer science operational systems engineering management pure mathematics management engineering history of mathematics discrete mathematics numerical computation strategic management philosophy of mathematics operation management automated deduction strategy numerical mathematics computational model theory operational management numerical analysis analysis of algorithms mathematics education foundation of mathematics business excellence business intelligence computational complexity theory business science general systems models of computation business studies operational efficiency numerical treatment managerial aspect

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerated First-Order Methods for a Class of Semidefinite Programs. MATHEMATICAL PROGRAMMING (2025)

approximation theoryquadratic programmingapplied mathematicsmathematical programminglinear programmingmathematical optimizationnumerical linear algebracomputer sciencenumerical algorithmscomputational optimizationconvex analysismathematicsnumerical analysiscomputational complexitycomputational mathematicstheoretical computer sciencesemi-definite optimizationsemidefinite programmingnumerical mathematicsconic optimizationlinear algebraglobal optimization

Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications. OPERATIONS RESEARCH (2025)

combinatoricsscientific computingapplied mathematicsmathematical programmingcomputational geometrygeometric algorithmsnumerical algorithmsgeometry processingconvex analysismathematicspolyhedrondiscrete geometrydiscrete mathematicscomputational mathematicstheoretical computer scienceconvex hullsgeometric modelinggeometrystructural optimizationconic optimizationsystems engineeringglobal optimization

Convergence, Duality and Well-Posedness in Convex Bilevel Optimization. arXiv (Cornell University) (2025)

approximation theoryabstract and applied analysisapplied mathematicsmathematical programmingmathematical optimizationconvex optimizationconvergence analysisnumerical algorithmscontinuous optimizationcomputational optimizationstochastic partial differential equationsconvex analysismathematicsoperator theoryfunctional analysiscomputational mathematicsboundary value problemsdesign optimizationnondifferentiable optimizationvariational analysisglobal optimization

Efficient Online Large-Margin Classification via Dual Certificates. (2025)

computer scienceclassification methodpattern recognitionhigh-dimensional statisticsmachine learningknowledge discoverydata sciencesupport vector machinesmachine learning research

Essential Mathematics for Convex Optimization. Cambridge University Press eBooks (2025)

approximation theorycomputational mathematicsabstract and applied analysiscontinuous optimizationapplied mathematicsconvex analysismathematicsmathematical optimizationconvex optimization

Essential Mathematics for Convex Optimization. Cambridge University Press (2025)

approximation theorycomputational mathematicsabstract and applied analysiscontinuous optimizationapplied mathematicsconvex analysismathematicsmathematical optimizationconvex optimization

On the Strength of Burer's Lifted Convex Relaxation to Quadratic Programming With Ball Constraints. MATHEMATICAL PROGRAMMING (2025)

approximation theoryquadratic programmingcombinatorial optimizationabstract and applied analysisapplied mathematicsmathematical programmingmathematical optimizationconvex optimizationnumerical linear algebracomputational optimizationoperations researchconvex analysismathematicsengineering optimizationcomputational mathematicstheoretical computer sciencesemidefinite programmingdesign optimizationconic optimizationconstrained optimizationsystems engineeringglobal optimization

On the Strength of Burer’s Lifted Convex Relaxation to Quadratic Programming With Ball Constraints. Mathematical Programming (2025)

design optimizationapproximation theoryquadratic programmingball constraintsconstrained optimizationconvex relaxationapplied mathematicsconvex analysismathematicsmathematical optimizationconvex optimization

On the Strength of Burer’s Lifted Convex Relaxation to Quadratic Programming With Ball Constraints: F. Kılınç-Karzan, S. Sun. (2025)

approximation theoryquadratic programmingcombinatorial optimizationabstract and applied analysisapplied mathematicsmathematical programmingmathematical optimizationconvex optimizationnumerical linear algebracomputer sciencenumerical algorithmscomputational optimizationconvex analysismathematicscomputational complexitycomputational mathematicstheoretical computer sciencesemi-definite optimizationsemidefinite programmingdesign optimizationconic optimizationglobal optimization

Accelerated First-Order Methods for a Class of Semidefinite Programs. Mathematical Programming (2024)

Alex L. WangFatma Kılınç-Karzan

semidefinite programmingcomputational optimizationapplied mathematicsmathematical programmingfirst-order methods

1
2
3
4
5
14
10 / page

Fatma Kılınç-Karzan

Associate Professor of Operations Research Associate Professor of Computer Science by courtesy

Carnegie Mellon University

Affiliations

Tepper School of Business

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Fatma Kılınç-Karzan

Carnegie Mellon University

Associate Professor of Operations Research Associate Professor of Computer Science by courtesy

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Accelerated First-Order Methods for a Class of Semidefinite Programs. MATHEMATICAL PROGRAMMING (2025)

Conic Mixed-Binary Sets: Convex Hull Characterizations and Applications. OPERATIONS RESEARCH (2025)

Convergence, Duality and Well-Posedness in Convex Bilevel Optimization. arXiv (Cornell University) (2025)

Efficient Online Large-Margin Classification via Dual Certificates. (2025)

computer scienceclassification methodpattern recognitionhigh-dimensional statisticsmachine learningknowledge discoverydata sciencesupport vector machinesmachine learning research

Essential Mathematics for Convex Optimization. Cambridge University Press eBooks (2025)

approximation theorycomputational mathematicsabstract and applied analysiscontinuous optimizationapplied mathematicsconvex analysismathematicsmathematical optimizationconvex optimization

Essential Mathematics for Convex Optimization. Cambridge University Press (2025)

approximation theorycomputational mathematicsabstract and applied analysiscontinuous optimizationapplied mathematicsconvex analysismathematicsmathematical optimizationconvex optimization

On the Strength of Burer's Lifted Convex Relaxation to Quadratic Programming With Ball Constraints. MATHEMATICAL PROGRAMMING (2025)

On the Strength of Burer’s Lifted Convex Relaxation to Quadratic Programming With Ball Constraints. Mathematical Programming (2025)

On the Strength of Burer’s Lifted Convex Relaxation to Quadratic Programming With Ball Constraints: F. Kılınç-Karzan, S. Sun. (2025)

approximation theoryquadratic programmingcombinatorial optimizationabstract and applied analysisapplied mathematicsmathematical programmingmathematical optimizationconvex optimizationnumerical linear algebracomputer sciencenumerical algorithmscomputational optimizationconvex analysismathematicscomputational complexitycomputational mathematicstheoretical computer sciencesemi-definite optimizationsemidefinite programmingdesign optimizationconic optimizationglobal optimization

Accelerated First-Order Methods for a Class of Semidefinite Programs. Mathematical Programming (2024)

Alex L. WangFatma Kılınç-Karzan

semidefinite programmingcomputational optimizationapplied mathematicsmathematical programmingfirst-order methods

1
2
3
4
5
14
10 / page

Similar Faculty Members

Willem-Jan van Hoeve

Institution

Carnegie Mellon University

numerical mathematics

general systems

Benjamin Moseley

Institution

Carnegie Mellon University

numerical mathematics

general systems

Mustafa Akan

Institution

Carnegie Mellon University

general systems

mathematics education

Yangyang Xu

Institution

Rensselaer Polytechnic Institute

large-scale global optimization

computer science

John Mitchell

Institution

Rensselaer Polytechnic Institute

semi-definite optimization

design optimization

David P. Woodruff

Institution

Carnegie Mellon University

discrete algorithm

differential privacy

Sridhar R. Tayur

Institution

Carnegie Mellon University

operational efficiency

strategic management

Vincent Conitzer

Institution

Carnegie Mellon University

game theory

artificial society

Florian Frick

Institution

Carnegie Mellon University

numerical mathematics

general systems

John Hooker

Institution

Carnegie Mellon University

business intelligence

technology

Similar Faculty Members

Willem-Jan van Hoeve

Institution

Carnegie Mellon University

numerical mathematics

general systems

Benjamin Moseley

Institution

Carnegie Mellon University

numerical mathematics

general systems

Mustafa Akan

Institution

Carnegie Mellon University

general systems

mathematics education

Yangyang Xu

Institution

Rensselaer Polytechnic Institute

large-scale global optimization

computer science

John Mitchell

Institution

Rensselaer Polytechnic Institute

semi-definite optimization

design optimization

David P. Woodruff

Institution

Carnegie Mellon University

discrete algorithm

differential privacy

Sridhar R. Tayur

Institution

Carnegie Mellon University

operational efficiency

strategic management

Vincent Conitzer

Institution

Carnegie Mellon University

game theory

artificial society

Florian Frick

Institution

Carnegie Mellon University

numerical mathematics

general systems

John Hooker

Institution

Carnegie Mellon University

business intelligence

technology