{"total":27,"rows":[{"id":"2206.03301","title":"Recent Advances in Bayesian Optimization","created":"2022-06-07","cited_by_count":76,"area":null},{"id":"2106.03609","title":"High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning","created":"2021-06-07","cited_by_count":54,"area":null},{"id":"2102.03324","title":"GIBBON: General-purpose Information-Based Bayesian OptimisatioN","created":"2021-02-05","cited_by_count":47,"area":null},{"id":"2111.01186","title":"Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces","created":"2021-11-01","cited_by_count":45,"area":null},{"id":"2210.10199","title":"Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization","created":"2022-10-18","cited_by_count":37,"area":null},{"id":"2303.01774","title":"Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings","created":"2023-03-03","cited_by_count":24,"area":null},{"id":"2106.04682","title":"Bayesian Optimization over Hybrid Spaces","created":"2021-06-08","cited_by_count":23,"area":null},{"id":"2406.04739","title":"A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences","created":"2024-06-07","cited_by_count":23,"area":null},{"id":"2210.12547","title":"SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems","created":"2022-10-22","cited_by_count":21,"area":null},{"id":"2112.01049","title":"Bayesian Optimization over Permutation Spaces","created":"2021-12-02","cited_by_count":17,"area":null},{"id":"2110.06980","title":"Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization","created":"2021-10-13","cited_by_count":13,"area":null},{"id":"2302.08436","title":"Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow","created":"2023-02-16","cited_by_count":11,"area":null},{"id":"2410.16893","title":"Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation","created":"2024-10-22","cited_by_count":8,"area":null},{"id":"2301.11832","title":"SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces","created":"2023-01-27","cited_by_count":7,"area":null},{"id":"2306.05304","title":"Bayesian Optimisation of Functions on Graphs","created":"2023-06-08","cited_by_count":7,"area":null},{"id":"2504.08682","title":"Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design","created":"2025-04-11","cited_by_count":7,"area":null},{"id":"2302.11533","title":"MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning","created":"2023-02-22","cited_by_count":6,"area":null},{"id":"2202.03712","title":"Fourier Representations for Black-Box Optimization over Categorical Variables","created":"2022-02-08","cited_by_count":4,"area":null},{"id":"2409.18582","title":"Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design","created":"2024-09-27","cited_by_count":4,"area":null},{"id":"2309.02842","title":"Random Postprocessing for Combinatorial Bayesian Optimization","created":"2023-09-06","cited_by_count":2,"area":null},{"id":"2505.09742","title":"A Generative Neural Annealer for Black-Box Combinatorial Optimization","created":"2025-05-14","cited_by_count":2,"area":null},{"id":"2207.08398","title":"Bayesian Optimization for Macro Placement","created":"2022-07-18","cited_by_count":1,"area":null},{"id":"2306.01095","title":"Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization","created":"2023-06-01","cited_by_count":1,"area":null},{"id":"2405.15119","title":"Bayesian Optimization of Functions over Node Subsets in Graphs","created":"2024-05-24","cited_by_count":1,"area":null},{"id":"2601.17587","title":"Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-driven Adaptive Experimental Design","created":"2026-01-24","cited_by_count":1,"area":null},{"id":"2510.01178","title":"COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2510.01840","title":"A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernels","created":"2025-10-02","cited_by_count":0,"area":null}],"next_cursor":null}