Jose Folch: Transition Constrained Bayesian Optimization
CogImperial
Jose Folch: Transition Constrained Bayesian Optimization
4:55
Shiqiang Zhang: Optimizing over trained GNNs via symmetry breaking
CogImperial
Shiqiang Zhang: Optimizing over trained GNNs via symmetry breaking
4:51
Jose Folch - #Shorts - Combining multi-fidelity modeling & asynchronous batch Bayesian optimization
CogImperial
Jose Folch - #Shorts - Combining multi-fidelity modeling & asynchronous batch Bayesian optimization
0:58
Jose Folch: Combining multi-fidelity modeling and asynchronous batch Bayesian optimization
CogImperial
Jose Folch: Combining multi-fidelity modeling and asynchronous batch Bayesian optimization
10:43
Alexander Thebelt: Tree ensemble kernels for BO with known constraints over mixed-feature spaces
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Alexander Thebelt: Tree ensemble kernels for BO with known constraints over mixed-feature spaces
4:58
Jose Folch: SnAKe Bayesian Optimization with Pathwise Exploration
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Jose Folch: SnAKe Bayesian Optimization with Pathwise Exploration
7:08
Ruth Misener: Switching formulations in OMLT
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Ruth Misener: Switching formulations in OMLT
23:37
Ruth Misener: Introduction to OMLT
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Ruth Misener: Introduction to OMLT
18:16
Alexander Thebelt: Multi-objective constr. optimization for energy applications via tree ensembles
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Alexander Thebelt: Multi-objective constr. optimization for energy applications via tree ensembles
10:22
Ruth Misener: Developing spatial branch & bound solvers
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Ruth Misener: Developing spatial branch & bound solvers
25:11
Gonzalo Muñoz: Intersection Cuts For QCQPs Via Maximal Quadratic-free Sets
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Gonzalo Muñoz: Intersection Cuts For QCQPs Via Maximal Quadratic-free Sets
34:17
Akshay Gupte: Mixed-Integer Conic Optimization: From Duality to Convex Hull Formulations
CogImperial
Akshay Gupte: Mixed-Integer Conic Optimization: From Duality to Convex Hull Formulations
27:13
Fatma Kılınç-Karzan: Characterizations and Applications of Rank-One Generated Cones
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Fatma Kılınç-Karzan: Characterizations and Applications of Rank-One Generated Cones
22:35
Andrea Lodi: Disjunctive cuts in Mixed-Integer Conic Optimization
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Andrea Lodi: Disjunctive cuts in Mixed-Integer Conic Optimization
24:36
Sophie Demassey: Enhanced Branch & Check for Pump Scheduling in Water Networks
CogImperial
Sophie Demassey: Enhanced Branch & Check for Pump Scheduling in Water Networks
37:22
David Bernal: Quantum Computing for Discr. Nonlin. Optimization Graver Augmented Multiseed Algorithm
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David Bernal: Quantum Computing for Discr. Nonlin. Optimization Graver Augmented Multiseed Algorithm
22:29
Emily Speakman: Gaining or Losing Perspective for PWL Under-Estim. of Convex Univariate Functions
CogImperial
Emily Speakman: Gaining or Losing Perspective for PWL Under-Estim. of Convex Univariate Functions
22:08
Andreas Lundell: Polyhedral Approximation Strategies in Nonconvex MINLP
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Andreas Lundell: Polyhedral Approximation Strategies in Nonconvex MINLP
23:08
Coralia Cartis: Dimensionality reduction techniques for global optimization
CogImperial
Coralia Cartis: Dimensionality reduction techniques for global optimization
21:35
Robert Hildebrand: Complexity, Exactness, and Rationality in Polynomial Optimization
CogImperial
Robert Hildebrand: Complexity, Exactness, and Rationality in Polynomial Optimization
28:02
Lars Schewe: Penalty altern. direction methods for mixed-integer opt. control with comb. constraints
CogImperial
Lars Schewe: Penalty altern. direction methods for mixed-integer opt. control with comb. constraints
19:32
Martina Kuchlbauer: Nonlinear robust optimization: An adaptive bundle method and outer approximation
CogImperial
Martina Kuchlbauer: Nonlinear robust optimization: An adaptive bundle method and outer approximation
21:09
Ignacio Grossmann: Alternative Regularizations for Outer-Approximation Algorithms for Convex MINLP
CogImperial
Ignacio Grossmann: Alternative Regularizations for Outer-Approximation Algorithms for Convex MINLP
21:09
Mathieu Tanneau: Cut separation via facial reduction and lifting
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Mathieu Tanneau: Cut separation via facial reduction and lifting
20:40
Leo Liberti: Minimum sum-of-squares clustering with side constraints
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Leo Liberti: Minimum sum-of-squares clustering with side constraints
28:00
Ivo Nowak: Decogo - A Decomposition-based Approximation Framework for Global Optimization
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Ivo Nowak: Decogo - A Decomposition-based Approximation Framework for Global Optimization
17:13
Ksenia Bestuzheva: Reformulation-Linearisation Technique for Implicit Bilinear Relations
CogImperial
Ksenia Bestuzheva: Reformulation-Linearisation Technique for Implicit Bilinear Relations
20:22
Qi Zhang: Branch-and-Price for a Class of Nonconvex Mixed-Integer Nonlinear Programs
CogImperial
Qi Zhang: Branch-and-Price for a Class of Nonconvex Mixed-Integer Nonlinear Programs
20:02
Zsolt Csizmadia: The confined primal integral
CogImperial
Zsolt Csizmadia: The confined primal integral
18:29
Sourour Elloumi: Quadr. convex reformulation for quadr. and polyn. problems with binary variables
CogImperial
Sourour Elloumi: Quadr. convex reformulation for quadr. and polyn. problems with binary variables
26:26
Gabriele Eichfelder: A Scalarization Free Multiobjective Mixed Integer Convex Optimization Solver
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Gabriele Eichfelder: A Scalarization Free Multiobjective Mixed Integer Convex Optimization Solver
18:55
Laura Galli: Chance Constrained Routing in Mobile Networks
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Laura Galli: Chance Constrained Routing in Mobile Networks
20:08
Henrik A. Friberg: The conic advantage in MINLP
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Henrik A. Friberg: The conic advantage in MINLP
18:30
Johannes Wiebe: ROmodel: Modeling robust optimization problems in Pyomo
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Johannes Wiebe: ROmodel: Modeling robust optimization problems in Pyomo
18:58
Aras Selvi: Convex Maximization via Adjustable Robust Optimization
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Aras Selvi: Convex Maximization via Adjustable Robust Optimization
47:18
Ruby Sedgwick: Design of Experiments for Verifying Biomolecular Networks
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Ruby Sedgwick: Design of Experiments for Verifying Biomolecular Networks
9:07
Jan Kronqvist: A disjunctive cut strengthening technique for convex MINLP
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Jan Kronqvist: A disjunctive cut strengthening technique for convex MINLP
15:23
Francesco Ceccon: GALINI An extensible MIQCQP solver
CogImperial
Francesco Ceccon: GALINI An extensible MIQCQP solver
13:12
Johannes Wiebe: A robust approach to warped Gaussian process-constrained optimization
CogImperial
Johannes Wiebe: A robust approach to warped Gaussian process-constrained optimization
15:00
Alexander Thebelt: Global Optimization with Ensemble Machine Learning Models (ESCAPE30)
CogImperial
Alexander Thebelt: Global Optimization with Ensemble Machine Learning Models (ESCAPE30)
16:59