Matthias Poloczek

46 papers A* 8A 2B 3C 1Misc 3Journal 24Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble.
CoRR
Hanyang Wang, Juergen Branke, Matthias Poloczek
2025 J jnl
Respecting the limit: Bayesian optimization with a bound on the optimal value.
Trans. Mach. Learn. Res.
Hanyang Wang, Juergen Branke, Matthias Poloczek
2025 A* conf
Understanding High-Dimensional Bayesian Optimization.
ICML
Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2025 J jnl
Understanding High-Dimensional Bayesian Optimization.
CoRR
Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2024 J jnl
Respecting the limit:Bayesian optimization with a bound on the optimal value.
CoRR
Hanyang Wang, Juergen Branke, Matthias Poloczek
2023 A* conf
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces.
NeurIPS
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023 J jnl
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces.
CoRR
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023 J jnl
Dynamic Subgoal-based Exploration via Bayesian Optimization.
Trans. Mach. Learn. Res.
Yijia Wang, Matthias Poloczek, Daniel R. Jiang
2023 J jnl
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.
CoRR
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2022 J jnl
Bayesian Optimization Allowing for Common Random Numbers.
Oper. Res.
Michael Pearce, Matthias Poloczek, Jürgen Branke
2022 A* conf
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.
NeurIPS
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2022 — conf
Multi-objective path planning for environmental monitoring using an autonomous surface vehicle.
GECCO Companion
Federico Peralta, Michael Pearce, Matthias Poloczek, Daniel Gutiérrez-Reina, Sergio Toral, Jürgen Branke
2021 A conf
Scalable Constrained Bayesian Optimization.
AISTATS
David Eriksson, Matthias Poloczek
2020 J jnl
Scalable Constrained Bayesian Optimization.
CoRR
David Eriksson, Matthias Poloczek
2019 A* conf
A Framework for Bayesian Optimization in Embedded Subspaces.
ICML
Amin Nayebi, Alexander Munteanu, Matthias Poloczek
2019 J jnl
Bayesian Optimization Allowing for Common Random Numbers.
CoRR
Michael Pearce, Matthias Poloczek, Jürgen Branke
2019 Misc conf
Bayesian Simulation Optimization with Common Random Numbers.
WSC
Michael Pearce, Matthias Poloczek, Jürgen Branke
2019 J jnl
Exploration via Sample-Efficient Subgoal Design.
CoRR
Yijia Wang, Matthias Poloczek, Daniel R. Jiang
2019 — conf
Fast Reconfigurable Antenna State Selection with Hierarchical Thompson Sampling.
ICC
Tianchi Zhao, Ming Li, Matthias Poloczek
2019 A* conf
Scalable Global Optimization via Local Bayesian Optimization.
NeurIPS
David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek
2019 J jnl
Scalable Global Optimization via Local Bayesian Optimization.
CoRR
David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek
2018 A* conf
Bayesian Optimization of Combinatorial Structures.
ICML
Ricardo Baptista, Matthias Poloczek
2018 J jnl
Bayesian Optimization of Combinatorial Structures.
CoRR
Ricardo Baptista, Matthias Poloczek
2018 J jnl
Contagious sets in dense graphs.
Eur. J. Comb.
Daniel Freund, Matthias Poloczek, Daniel Reichman
2018 J jnl
Erratum to: Greedy Matching: Guarantees and Limitations.
Algorithmica
Bert Besser, Matthias Poloczek
2018 J jnl
Simple Approximation Algorithms for Balanced MAX 2SAT.
Algorithmica
Alice Paul, Matthias Poloczek, David P. Williamson
2017 J jnl
An Experimental Evaluation of Fast Approximation Algorithms for the Maximum Satisfiability Problem.
ACM J. Exp. Algorithmics
Matthias Poloczek, David P. Williamson
2017 — conf
Bayesian Optimization with Gradients.
NIPS
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson, Peter I. Frazier
2017 J jnl
Bayesian Optimization with Gradients.
CoRR
Jian Wu, Matthias Poloczek, Andrew Gordon Wilson, Peter I. Frazier
2017 Misc conf
Empirically comparing the finite-time performance of simulation-optimization algorithms.
WSC
Naijia Anna Dong, David J. Eckman, Xueqi Zhao, Shane G. Henderson, Matthias Poloczek
2017 J jnl
Greedy Algorithms for the Maximum Satisfiability Problem: Simple Algorithms and Inapproximability Bounds.
SIAM J. Comput.
Matthias Poloczek, Georg Schnitger, David P. Williamson, Anke van Zuylen
2017 J jnl
Greedy Matching: Guarantees and Limitations.
Algorithmica
Bert Besser, Matthias Poloczek
2017 — conf
Multi-Information Source Optimization.
NIPS
Matthias Poloczek, Jialei Wang, Peter I. Frazier
2016 B conf
An Experimental Evaluation of Fast Approximation Algorithms for the Maximum Satisfiability Problem.
SEA
Matthias Poloczek, David P. Williamson
2016 B conf
Simple Approximation Algorithms for Balanced MAX 2SAT.
LATIN
Alice Paul, Matthias Poloczek, David P. Williamson
2016 J jnl
Warm Starting Bayesian Optimization.
CoRR
Matthias Poloczek, Jialei Wang, Peter I. Frazier
2016 Misc conf
Warm starting Bayesian optimization.
WSC
Matthias Poloczek, Jialei Wang, Peter I. Frazier
2015 C conf
Contagious Sets in Dense Graphs.
IWOCA
Daniel Freund, Matthias Poloczek, Daniel Reichman
2015 J jnl
Contagious Sets in Dense Graphs.
CoRR
Daniel Freund, Matthias Poloczek, Daniel Reichman
2015 J jnl
Greedy Matching: Guarantees and Limitations.
CoRR
Bert Besser, Matthias Poloczek
2014 B conf
On Some Recent Approximation Algorithms for MAX SAT.
LATIN
Matthias Poloczek, David P. Williamson, Anke van Zuylen
2013 J jnl
On Some Recent MAX SAT Approximation Algorithms.
CoRR
Matthias Poloczek, David P. Williamson, Anke van Zuylen
2012 — —
Greedy algorithms for max sat and maximum matching: their power and limitations.
Matthias Poloczek
2012 A* conf
Randomized Greedy Algorithms for the Maximum Matching Problem with New Analysis.
FOCS
Matthias Poloczek, Mario Szegedy
2011 A conf
Bounds on Greedy Algorithms for MAX SAT.
ESA
Matthias Poloczek
2011 A* conf
Randomized Variants of Johnson's Algorithm for MAX SAT.
SODA
Matthias Poloczek, Georg Schnitger