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Matthias Poloczek
Matthias Poloczek
Principal Scientist at Amazon
Verified email at cornell.edu
Title
Cited by
Cited by
Year
Scalable global optimization via local bayesian optimization
D Eriksson, M Pearce, JR Gardner, R Turner, M Poloczek
Advances in Neural Information Processing Systems (NeurIPS), 2019
3922019
Bayesian optimization with gradients
J Wu, M Poloczek, AG Wilson, PI Frazier
Proceedings of the 31st International Conference on Neural Information …, 2017
2502017
Multi-information source optimization
M Poloczek, J Wang, P Frazier
Advances in neural information processing systems 30, 2017
2502017
Bayesian optimization of combinatorial structures
R Baptista, M Poloczek
Proceedings of the 35th International Conference on Machine Learning 80, 462 …, 2018
1412018
A framework for Bayesian optimization in embedded subspaces
A Nayebi, A Munteanu, M Poloczek
International Conference on Machine Learning, 4752-4761, 2019
1232019
Efficient search of compositional space for hybrid organic–inorganic perovskites via Bayesian optimization
HC Herbol, W Hu, P Frazier, P Clancy, M Poloczek
npj Computational Materials 4 (1), 51, 2018
972018
Scalable constrained Bayesian optimization
D Eriksson, M Poloczek
International Conference on Artificial Intelligence and Statistics, 730-738, 2021
922021
Advances in Bayesian optimization with applications in aerospace engineering
R Lam, M Poloczek, P Frazier, KE Willcox
2018 AIAA Non-Deterministic Approaches Conference, 1656, 2018
682018
Warm starting Bayesian optimization
M Poloczek, J Wang, PI Frazier
2016 Winter simulation conference (WSC), 770-781, 2016
622016
Randomized greedy algorithms for the maximum matching problem with new analysis
M Poloczek, M Szegedy
2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 708-717, 2012
412012
Greedy algorithms for the maximum satisfiability problem: Simple algorithms and inapproximability bounds
M Poloczek, G Schnitger, DP Williamson, A Van Zuylen
SIAM Journal on Computing 46 (3), 1029-1061, 2017
402017
Cost-effective materials discovery: Bayesian optimization across multiple information sources
HC Herbol, M Poloczek, P Clancy
Materials Horizons 7 (8), 2113-2123, 2020
282020
Tuning materials-binding peptide sequences toward gold-and silver-binding selectivity with bayesian optimization
ZE Hughes, MA Nguyen, J Wang, Y Liu, MT Swihart, M Poloczek, ...
ACS nano 15 (11), 18260-18269, 2021
272021
Bounds on greedy algorithms for MAX SAT
M Poloczek
European Symposium on Algorithms, 37-48, 2011
262011
Contagious sets in dense graphs
D Freund, M Poloczek, D Reichman
European Journal of Combinatorics 68, 66-78, 2018
242018
Fast reconfigurable antenna state selection with hierarchical thompson sampling
T Zhao, M Li, M Poloczek
ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019
202019
Randomized variants of Johnson's algorithm for MAX SAT
M Poloczek, G Schnitger
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete …, 2011
202011
Bypassing solid-state intermediates by solvent engineering the crystallization pathway in hybrid organic–inorganic perovskites
AG Ortoll-Bloch, HC Herbol, BA Sorenson, M Poloczek, LA Estroff, ...
Crystal Growth & Design 20 (2), 1162-1171, 2019
192019
Bayesian optimization allowing for common random numbers
MAL Pearce, M Poloczek, J Branke
Operations Research 70 (6), 3457-3472, 2022
17*2022
Empirically comparing the finite-time performance of simulation-optimization algorithms
NA Dong, DJ Eckman, X Zhao, SG Henderson, M Poloczek
Simulation Conference (WSC), 2017 Winter, 2206-2217, 2017
15*2017
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