Matthias Poloczek

Orcid: 0000-0003-4178-5521

Affiliations:

Amazon, San Francisco, CA, USA

According to our database¹, Matthias Poloczek authored at least 28 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2023

Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces.

[BibT_eX]

[DOI]

Leonard Papenmeier

Luigi Nardi

Matthias Poloczek

CoRR, 2023

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces.

[BibT_eX]

[DOI]

Leonard Papenmeier

Luigi Nardi

Matthias Poloczek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bayesian Optimization Allowing for Common Random Numbers.

[BibT_eX]

[DOI]

Michael Pearce

Matthias Poloczek

Jürgen Branke

Oper. Res., November, 2022

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.

[BibT_eX]

[DOI]

Leonard Papenmeier

Luigi Nardi

Matthias Poloczek

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-objective path planning for environmental monitoring using an autonomous surface vehicle.

[BibT_eX]

[DOI]

Federico Peralta

Michael Pearce

Matthias Poloczek

Daniel Gutiérrez-Reina

Sergio Toral

Jürgen Branke

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Scalable Constrained Bayesian Optimization.

[BibT_eX]

[DOI]

David Eriksson

Matthias Poloczek

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019

Exploration via Sample-Efficient Subgoal Design.

[BibT_eX]

[DOI]

Yijia Wang

Matthias Poloczek

Daniel R. Jiang

CoRR, 2019

Bayesian Simulation Optimization with Common Random Numbers.

[BibT_eX]

[DOI]

Michael Pearce

Matthias Poloczek

Jürgen Branke

Proceedings of the 2019 Winter Simulation Conference, 2019

Scalable Global Optimization via Local Bayesian Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Framework for Bayesian Optimization in Embedded Subspaces.

[BibT_eX]

[DOI]

Amin Nayebi

Alexander Munteanu

Matthias Poloczek

Proceedings of the 36th International Conference on Machine Learning, 2019

Fast Reconfigurable Antenna State Selection with Hierarchical Thompson Sampling.

[BibT_eX]

[DOI]

Tianchi Zhao

Ming Li

Matthias Poloczek

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

Contagious sets in dense graphs.

[BibT_eX]

[DOI]

Daniel Freund

Matthias Poloczek

Daniel Reichman

Eur. J. Comb., 2018

Simple Approximation Algorithms for Balanced MAX 2SAT.

[BibT_eX]

[DOI]

Alice Paul

Matthias Poloczek

David P. Williamson

Algorithmica, 2018

Erratum to: Greedy Matching: Guarantees and Limitations.

[BibT_eX]

[DOI]

Bert Besser

Matthias Poloczek

Algorithmica, 2018

Bayesian Optimization of Combinatorial Structures.

[BibT_eX]

[DOI]

Ricardo Baptista

Matthias Poloczek

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Greedy Algorithms for the Maximum Satisfiability Problem: Simple Algorithms and Inapproximability Bounds.

[BibT_eX]

[DOI]

SIAM J. Comput., 2017

An Experimental Evaluation of Fast Approximation Algorithms for the Maximum Satisfiability Problem.

[BibT_eX]

[DOI]

Matthias Poloczek

David P. Williamson

ACM J. Exp. Algorithmics, 2017

Greedy Matching: Guarantees and Limitations.

[BibT_eX]

[DOI]

Bert Besser

Matthias Poloczek

Algorithmica, 2017

Empirically comparing the finite-time performance of simulation-optimization algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2017 Winter Simulation Conference, 2017

Bayesian Optimization with Gradients.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-Information Source Optimization.

[BibT_eX]

[DOI]

Matthias Poloczek

Jialei Wang

Peter I. Frazier

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Warm starting Bayesian optimization.

[BibT_eX]

[DOI]

Matthias Poloczek

Jialei Wang

Peter I. Frazier

Proceedings of the Winter Simulation Conference, 2016

2014

On Some Recent Approximation Algorithms for MAX SAT.

[BibT_eX]

[DOI]

Matthias Poloczek

David P. Williamson

Anke van Zuylen

Proceedings of the LATIN 2014: Theoretical Informatics - 11th Latin American Symposium, Montevideo, Uruguay, March 31, 2014

2013

On Some Recent MAX SAT Approximation Algorithms.

[BibT_eX]

[DOI]

Matthias Poloczek

David P. Williamson

Anke van Zuylen

CoRR, 2013

2012

Greedy algorithms for max sat and maximum matching: their power and limitations.

[BibT_eX]

[DOI]

Matthias Poloczek

PhD thesis, 2012

Randomized Greedy Algorithms for the Maximum Matching Problem with New Analysis.

[BibT_eX]

[DOI]

Matthias Poloczek

Mario Szegedy

Proceedings of the 53rd Annual IEEE Symposium on Foundations of Computer Science, 2012

2011

Randomized Variants of Johnson's Algorithm for MAX SAT.

[BibT_eX]

[DOI]

Matthias Poloczek

Georg Schnitger

Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

Bounds on Greedy Algorithms for MAX SAT.

[BibT_eX]

[DOI]

Matthias Poloczek

Proceedings of the Algorithms - ESA 2011, 2011

Matthias Poloczek

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