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Papers matching “adaptive algorithms” 30

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An Adaptive Accelerated Derivative-Free Optimization Algorithm Based on Noncommutative Maps
2025 IEEE Transactions on Automatic Control article Mathematics Advanced Optimization Algorithms Research

Xin Huo, Christian Ebenbauer, Kemao Ma

0

citations
Adaptive discretization-based algorithms for semi-infinite programs with unbounded variables
2022 Mathematical Methods of Operations Research article Mathematics Advanced Optimization Algorithms Research Open access

Daniel Jungen, Hatim Djelassi, Alexander Mitsos

4

citations
A Metropolized Adaptive Subspace Algorithm for High-Dimensional Bayesian Variable Selection
2022 Bayesian Analysis article Mathematics Markov Chains and Monte Carlo Methods Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

2

citations
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
2021 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard

2

citations
Plateau proposal distributions for adaptive component-wise multiple-try metropolis
2022 METRON article Mathematics Markov Chains and Monte Carlo Methods Open access

F. Din-Houn Lau, Sebastian Krumscheid

1

citations
Uniform approximation of vectors using adaptive randomized information
2025 Journal of Approximation Theory article Mathematics Mathematical Approximation and Integration

Robert J. Kunsch

1

citations
Discretization algorithms for generalized semi-infinite programs with coupling equality constraints under local solution stability
2025 Journal of Global Optimization article Mathematics Advanced Optimization Algorithms Research Open access

Aron Zingler, Adrian W. Lipow, Alexander Mitsos

1

citations
Derivative-enhanced lower-Bounding in adaptive discretization for the global solution of semi-infinite optimization problems
2025 Optimization article Mathematics Advanced Optimization Algorithms Research Open access

Aron Zingler, Alexander Mitsos

0

citations
Randomized approximation of summable sequences -- adaptive and non-adaptive
2023 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Robert J. Kunsch, Erich Novak

0

citations
Adaptive Subproblem Selection in Benders Decomposition for Survivable Network Design Problems
2026 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Tim Donkiewicz

0

citations
Adaptive Subproblem Selection in Benders Decomposition for Survivable Network Design Problems
2026 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Tim Donkiewicz

0

citations
Derivative-enhanced lower-Bounding in adaptive discretization for the global solution of semi-infinite optimization problems
2025 RWTH Publications (RWTH Aachen) article Mathematics Advanced Optimization Algorithms Research Open access

0

citations
Uniform approximation of vectors using adaptive randomized information
2024 arXiv (Cornell University) preprint Mathematics Mathematical Approximation and Integration Open access

Robert J. Kunsch

1

citations
A neural network assisted Metropolis adjusted Langevin algorithm
2020 Monte Carlo Methods and Applications article Mathematics Markov Chains and Monte Carlo Methods

Christian Alexander Müller, Holger Diedam, Thomas Mrziglod, Andreas Schuppert

4

citations
High-dimensional variable selection via low-dimensional adaptive learning
2021 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

11

citations
Generalized Ng–Kundu–Chan model of adaptive progressive Type‐II censoring and related inference
2023 Naval Research Logistics (NRL) article Mathematics Statistical Distribution Estimation and Applications Open access

Anja Bettina Schmiedt, Erhard Cramer

3

citations
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators
2022 SIAM Journal on Scientific Computing article Mathematics Numerical methods for differential equations Open access

Y. P. Guo, Felix Dietrich, Tom Bertalan, Danimir T. Doncevic, Manuel Dahmen, Ioannis G. Kevrekidis, +1 more

13

citations
libDIPS: An Open-Source Platform for Global Optimization of Hierarchical Optimization Problems
2026 Systems and Control Transactions conference-paper Mathematics Advanced Optimization Algorithms Research Open access

Adrian W. Lipow, Daniel Jungen, Aron Zingler, Hatim Djelassi, Alexander Mitsos

0

citations
Multilevel weighted least squares polynomial approximation
2020 ESAIM Mathematical Modelling and Numerical Analysis article Mathematics Mathematical Approximation and Integration Open access

Abdul-Lateef Haji-Ali, Fabio Nobile, Raul F. Tempone

11

citations
Deterministic global and hierarchical optimization for experimental design
2025 RWTH Publications (RWTH Aachen) dissertation Mathematics Advanced Optimization Algorithms Research Open access

Daniel Jungen

1

citations
libDIPS – discretization-based semi-infinite and bilevel programming solvers
2026 Mathematical Programming Computation article Mathematics Advanced Optimization Algorithms Research Open access

Daniel Jungen, Aron Zingler, Hatim Djelassi, Alexander Mitsos

0

citations
Linearization of McCormick relaxations and hybridization with the auxiliary variable method
2021 Journal of Global Optimization article Mathematics Advanced Optimization Algorithms Research Open access

Jaromił Najman, Dominik Bongartz, Alexander Mitsos

17

citations
Markov chain Monte Carlo for Bayesian inference of the non-conducting region in intra-atrial reentrant tachycardia
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Maarten Volkaerts, Marie Cloet, Hans Dierckx, Piet Claus, Giovanni Samaey

0

citations
Weisfeiler-Leman Indistinguishability of Graphons
2023 The Electronic Journal of Combinatorics article Mathematics Limits and Structures in Graph Theory Open access

Jan Böker

1

citations
Efficient Subset Simulation using Hamiltonian Neural Network enhanced Markov Chain Monte Carlo Methods
2024 OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) article Mathematics Markov Chains and Monte Carlo Methods Open access

Denny Thaler

0

citations