Matthias Poloczek

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 32

Top Venues

Goethe University Frankfurt am Main (PHD)

Education History

Goethe University Frankfurt am Main

PHD

Publications

Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. CoRR (2023)
Yijia Wang, Matthias Poloczek, Daniel R. Jiang
Dynamic Subgoal-based Exploration via Bayesian Optimization. Trans. Mach. Learn. Res. 2023 (2023)
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces. NeurIPS (2023)
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. CoRR (2023)
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. NeurIPS (2022)
Michael Pearce, Matthias Poloczek, Jürgen Branke
Bayesian Optimization Allowing for Common Random Numbers. Oper. Res. 70 (6) (2022)
Federico Peralta, Michael Pearce, Matthias Poloczek, Daniel Gutiérrez-Reina, Sergio Toral, Jürgen Branke
Multi-objective path planning for environmental monitoring using an autonomous surface vehicle. GECCO Companion (2022)
David Eriksson, Matthias Poloczek
Scalable Constrained Bayesian Optimization. AISTATS (2021)
David Eriksson, Matthias Poloczek
Scalable Constrained Bayesian Optimization. CoRR (2020)
Amin Nayebi, Alexander Munteanu, Matthias Poloczek
A Framework for Bayesian Optimization in Embedded Subspaces. ICML (2019)
Yijia Wang, Matthias Poloczek, Daniel R. Jiang
Exploration via Sample-Efficient Subgoal Design. CoRR (2019)
Michael Pearce, Matthias Poloczek, Jürgen Branke
Bayesian Simulation Optimization with Common Random Numbers. WSC (2019)
Tianchi Zhao, Ming Li, Matthias Poloczek
Fast Reconfigurable Antenna State Selection with Hierarchical Thompson Sampling. ICC (2019)
Michael Pearce, Matthias Poloczek, Jürgen Branke
Bayesian Optimization Allowing for Common Random Numbers. CoRR (2019)
David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek
Scalable Global Optimization via Local Bayesian Optimization. CoRR (2019)
David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek
Scalable Global Optimization via Local Bayesian Optimization. NeurIPS (2019)
Bert Besser, Matthias Poloczek
Erratum to: Greedy Matching: Guarantees and Limitations. Algorithmica 80 (1) (2018)
Ricardo Baptista, Matthias Poloczek
Bayesian Optimization of Combinatorial Structures. CoRR (2018)
Alice Paul, Matthias Poloczek, David P. Williamson
Simple Approximation Algorithms for Balanced MAX 2SAT. Algorithmica 80 (3) (2018)
Daniel Freund, Matthias Poloczek, Daniel Reichman
Contagious sets in dense graphs. Eur. J. Comb. 68 (2018)
Ricardo Baptista, Matthias Poloczek
Bayesian Optimization of Combinatorial Structures. ICML (2018)
Matthias Poloczek, Georg Schnitger, David P. Williamson, Anke van Zuylen
Greedy Algorithms for the Maximum Satisfiability Problem: Simple Algorithms and Inapproximability Bounds. SIAM J. Comput. 46 (3) (2017)
Bert Besser, Matthias Poloczek
Greedy Matching: Guarantees and Limitations. Algorithmica 77 (1) (2017)
Naijia Anna Dong, David J. Eckman, Xueqi Zhao, Shane G. Henderson, Matthias Poloczek
Empirically comparing the finite-time performance of simulation-optimization algorithms. WSC (2017)
Matthias Poloczek, Jialei Wang, Peter I. Frazier
Multi-Information Source Optimization. NIPS (2017)
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson, Peter I. Frazier
Bayesian Optimization with Gradients. CoRR (2017)
Matthias Poloczek, David P. Williamson
An Experimental Evaluation of Fast Approximation Algorithms for the Maximum Satisfiability Problem. ACM J. Exp. Algorithmics 22 (2017)
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson, Peter I. Frazier
Bayesian Optimization with Gradients. NIPS (2017)
Matthias Poloczek, David P. Williamson
An Experimental Evaluation of Fast Approximation Algorithms for the Maximum Satisfiability Problem. SEA (2016)
Alice Paul, Matthias Poloczek, David P. Williamson
Simple Approximation Algorithms for Balanced MAX 2SAT. LATIN (2016)
Matthias Poloczek, Jialei Wang, Peter I. Frazier
Warm starting Bayesian optimization. WSC (2016)
Matthias Poloczek, Jialei Wang, Peter I. Frazier
Warm Starting Bayesian Optimization. CoRR (2016)
Daniel Freund, Matthias Poloczek, Daniel Reichman
Contagious Sets in Dense Graphs. IWOCA (2015)
Bert Besser, Matthias Poloczek
Greedy Matching: Guarantees and Limitations. CoRR (2015)
Daniel Freund, Matthias Poloczek, Daniel Reichman
Contagious Sets in Dense Graphs. CoRR (2015)
Matthias Poloczek, David P. Williamson, Anke van Zuylen
On Some Recent Approximation Algorithms for MAX SAT. LATIN (2014)
Matthias Poloczek, David P. Williamson, Anke van Zuylen
On Some Recent MAX SAT Approximation Algorithms. CoRR (2013)
Matthias Poloczek, Mario Szegedy
Randomized Greedy Algorithms for the Maximum Matching Problem with New Analysis. FOCS (2012)
Matthias Poloczek, Georg Schnitger
Randomized Variants of Johnson's Algorithm for MAX SAT. SODA (2011)
Matthias Poloczek
Bounds on Greedy Algorithms for MAX SAT. ESA (2011)

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Publication Activity (10 Years)

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Matthias Poloczek