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Juliusz Krzysztof Ziomek

2 accepted papers

2023

Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?

ICML 2023poster

Learning decompositions of expensive-to-evaluate black-box functions promises to scale Bayesian optimisation (BO) to high-dimensional problems. However, the success of these techniques depends on finding proper decompositions that accurately represent the black-box. While previous works learn those…

2023

Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints

ICLR 2023poster

Many real-world settings involve costs for performing actions; transaction costs in financial systems and fuel costs being common examples. In these settings, performing actions at each time step quickly accumulates costs leading to vastly suboptimal outcomes. Additionally, repeatedly acting produce…

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