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Scalable Constrained Bayesian Optimization



David Eriksson , Matthias Poloczek


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Scalable Global Optimization via Local Bayesian Optimization



David Eriksson , Michael Pearce , Jacob R Gardner , Ryan Turner , Matthias Poloczek

* Appears in NeurIPS 2019 as a spotlight presentation 

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Bayesian Optimization Allowing for Common Random Numbers



Michael Pearce , Matthias Poloczek , Juergen Branke

* 21 pages + Appendix, under review 

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Exploration via Sample-Efficient Subgoal Design



Yijia Wang , Matthias Poloczek , Daniel R. Jiang

* Presented at TARL, ICLR 2019 workshop 

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Bayesian Optimization of Combinatorial Structures



Ricardo Baptista , Matthias Poloczek

* Published at International Conference on Machine Learning 2018 

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Bayesian Optimization with Gradients



Jian Wu , Matthias Poloczek , Andrew Gordon Wilson , Peter I. Frazier

* Advances in Neural Information Processing Systems 30 (NIPS), 2017 
* Advances in Neural Information Processing Systems 30 (NIPS), 2017 

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Multi-Information Source Optimization



Matthias Poloczek , Jialei Wang , Peter I. Frazier

* Added: benchmark logistic regression on MNIST/USPS, comparison to MTBO/entropy search, estimation of hyper-parameters 

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Warm Starting Bayesian Optimization



Matthias Poloczek , Jialei Wang , Peter I. Frazier

* To Appear in the Proc. of the 2016 Winter Simulation Conference 

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