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BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

, , , , , , и . NeurIPS, (2020)

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Samuel Goldberg

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Robust Multi-Objective Bayesian Optimization Under Input Noise., , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 4831-4866. PMLR, (2022)Unexpected Improvements to Expected Improvement for Bayesian Optimization., , , , и . CoRR, (2023)BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization., , , , , , и . NeurIPS, (2020)Optimizing Coverage and Capacity in Cellular Networks using Machine Learning., , , , , , , , , и . ICASSP, стр. 8138-8142. IEEE, (2021)Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization., , , , , , , , , и . CoRR, (2021)Log-Linear-Time Gaussian Processes Using Binary Tree Kernels., , и . NeurIPS, (2022)Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes., , , и . NIPS, стр. 6250-6261. (2017)Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement., , и . NeurIPS, стр. 2187-2200. (2021)Multi-objective Bayesian optimization over high-dimensional search spaces., , , и . UAI, том 180 из Proceedings of Machine Learning Research, стр. 507-517. PMLR, (2022)Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization., , , , , и . NeurIPS, (2022)