{"total":51,"rows":[{"id":"2104.10201","title":"Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020","created":"2021-04-20","cited_by_count":148,"area":null},{"id":"2206.03301","title":"Recent Advances in Bayesian Optimization","created":"2022-06-07","cited_by_count":76,"area":null},{"id":"2206.04771","title":"Joint Entropy Search for Maximally-Informed Bayesian Optimization","created":"2022-06-09","cited_by_count":55,"area":null},{"id":"2106.00421","title":"OpenBox: A Generalized Black-box Optimization Service","created":"2021-06-01","cited_by_count":46,"area":null},{"id":"2210.02905","title":"Joint Entropy Search for Multi-objective Bayesian Optimization","created":"2022-10-06","cited_by_count":45,"area":null},{"id":"2310.17273","title":"Looping in the Human Collaborative and Explainable Bayesian Optimization","created":"2023-10-26","cited_by_count":27,"area":null},{"id":"2102.09788","title":"Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound","created":"2021-02-19","cited_by_count":23,"area":null},{"id":"2311.14645","title":"A General Framework for User-Guided Bayesian Optimization","created":"2023-11-24","cited_by_count":22,"area":null},{"id":"2210.00762","title":"Meta-Learning Priors for Safe Bayesian Optimization","created":"2022-10-03","cited_by_count":14,"area":null},{"id":"2210.06635","title":"A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions","created":"2022-10-13","cited_by_count":12,"area":null},{"id":"2101.07825","title":"Safe and Efficient Model-free Adaptive Control via Bayesian Optimization","created":"2021-01-19","cited_by_count":10,"area":null},{"id":"2211.14411","title":"c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization","created":"2022-11-26","cited_by_count":9,"area":null},{"id":"2304.13339","title":"OpenBox: A Python Toolkit for Generalized Black-box Optimization","created":"2023-04-26","cited_by_count":9,"area":null},{"id":"2312.03212","title":"Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence","created":"2023-12-06","cited_by_count":8,"area":null},{"id":"2401.04305","title":"Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitions","created":"2024-01-09","cited_by_count":7,"area":null},{"id":"2306.05843","title":"Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach","created":"2023-06-09","cited_by_count":6,"area":null},{"id":"2308.11787","title":"HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses","created":"2023-08-22","cited_by_count":6,"area":null},{"id":"2402.07692","title":"Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints","created":"2024-02-12","cited_by_count":6,"area":null},{"id":"2411.03641","title":"Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation","created":"2024-11-06","cited_by_count":6,"area":null},{"id":"2110.14443","title":"Failure-averse Active Learning for Physics-constrained Systems","created":"2021-10-27","cited_by_count":5,"area":null},{"id":"2507.00480","title":"Posterior Inference in Latent Space for Scalable Constrained Black-box Optimization","created":"2025-07-01","cited_by_count":5,"area":null},{"id":"2104.12643","title":"Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums","created":"2021-04-26","cited_by_count":4,"area":null},{"id":"2112.02833","title":"Two-step Lookahead Bayesian Optimization with Inequality Constraints","created":"2021-12-06","cited_by_count":4,"area":null},{"id":"2403.04764","title":"TS-RSR: A provably efficient approach for batch Bayesian Optimization","created":"2024-03-07","cited_by_count":4,"area":null},{"id":"2511.18107","title":"Active Learning with Selective Time-Step Acquisition for PDEs","created":"2025-11-22","cited_by_count":4,"area":null},{"id":"2103.05706","title":"A sampling criterion for constrained Bayesian optimization with uncertainties","created":"2021-03-09","cited_by_count":3,"area":null},{"id":"2311.15162","title":"Domain Knowledge Injection in Bayesian Search for New Materials","created":"2023-11-26","cited_by_count":3,"area":null},{"id":"2404.12219","title":"A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting","created":"2024-04-18","cited_by_count":3,"area":null},{"id":"2101.08743","title":"A New Knowledge Gradient-based Method for Constrained Bayesian Optimization","created":"2021-01-20","cited_by_count":2,"area":null},{"id":"2110.13629","title":"Bayesian Optimization and Deep Learning forsteering wheel angle prediction","created":"2021-10-22","cited_by_count":2,"area":null},{"id":"2310.08751","title":"Constrained Bayesian Optimization with Adaptive Active Learning of Unknown Constraints","created":"2023-10-12","cited_by_count":2,"area":null},{"id":"2402.03006","title":"On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions","created":"2024-02-05","cited_by_count":2,"area":null},{"id":"2502.06789","title":"Information-theoretic Bayesian Optimization: Survey and Tutorial","created":"2025-01-22","cited_by_count":2,"area":null},{"id":"2505.11323","title":"Convergence Rates of Constrained Expected Improvement","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2509.19988","title":"BioBO: Biology-informed Bayesian Optimization for Perturbation Design","created":"2025-09-24","cited_by_count":2,"area":null},{"id":"2210.12122","title":"Targeted active learning for probabilistic models","created":"2022-10-21","cited_by_count":1,"area":null},{"id":"2402.14402","title":"Global Safe Sequential Learning via Efficient Knowledge Transfer","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2411.16586","title":"Alpha Entropy Search for New Information-based Bayesian Optimization","created":"2024-11-25","cited_by_count":1,"area":null},{"id":"2112.08760","title":"Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding","created":"2021-12-16","cited_by_count":0,"area":null},{"id":"2310.12563","title":"Approximate information maximization for bandit games","created":"2023-10-19","cited_by_count":0,"area":null},{"id":"2402.04885","title":"A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization","created":"2024-01-19","cited_by_count":0,"area":null},{"id":"2408.02551","title":"Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems","created":"2024-08-05","cited_by_count":0,"area":null},{"id":"2509.21725","title":"Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems","created":"2025-09-26","cited_by_count":0,"area":null},{"id":"2510.10984","title":"A Constrained Multi-Fidelity Bayesian Optimization Method","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2512.17569","title":"Bayesian Optimisation: Which Constraints Matter?","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2601.08172","title":"Amortized Acquisition Optimization for Bayesian Optimization with Variational Mutual Information","created":"2026-01-13","cited_by_count":0,"area":null},{"id":"2603.07965","title":"Local Constrained Bayesian Optimization","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2603.20984","title":"Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems","created":"2026-03-22","cited_by_count":0,"area":null},{"id":"2605.06454","title":"ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2606.00956","title":"Towards Regret Guarantees for One-Step Lookahead Bayesian Optimization","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2608.27873","title":"Anchored Scenario Coverage for Failure-Aware First-Hit Batch Inverse Design","created":"2026-08-28","cited_by_count":0,"area":null}],"next_cursor":null}