{"total":45,"rows":[{"id":"2310.20708","title":"Unexpected Improvements to Expected Improvement for Bayesian Optimization","created":"2023-10-31","cited_by_count":149,"area":null},{"id":"2304.11005","title":"Self-Correcting Bayesian Optimization through Bayesian Active Learning","created":"2023-04-21","cited_by_count":22,"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":"2501.10945","title":"Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond","created":"2025-01-19","cited_by_count":18,"area":null},{"id":"2211.06149","title":"Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian Optimization","created":"2022-11-11","cited_by_count":16,"area":null},{"id":"2306.00344","title":"BOtied: Multi-objective Bayesian optimization with tied multivariate ranks","created":"2023-06-01","cited_by_count":15,"area":null},{"id":"2310.15788","title":"qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling","created":"2023-10-24","cited_by_count":11,"area":null},{"id":"2505.21974","title":"BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL","created":"2025-05-28","cited_by_count":10,"area":null},{"id":"2502.08208","title":"Exploring Exploration in Bayesian Optimization","created":"2025-02-12","cited_by_count":9,"area":null},{"id":"2602.07904","title":"Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models","created":"2026-02-08","cited_by_count":9,"area":null},{"id":"2303.05694","title":"Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization","created":"2023-03-10","cited_by_count":7,"area":null},{"id":"2402.08406","title":"Transition Constrained Bayesian Optimization via Markov Decision Processes","created":"2024-02-13","cited_by_count":7,"area":null},{"id":"2302.01310","title":"Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations","created":"2023-02-02","cited_by_count":5,"area":null},{"id":"2410.22322","title":"Optimizing Posterior Samples for Bayesian Optimization via Rootfinding","created":"2024-10-29","cited_by_count":5,"area":null},{"id":"2507.09828","title":"Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization","created":"2025-07-13","cited_by_count":4,"area":null},{"id":"2305.11774","title":"Multi-objective optimisation via the R2 utilities","created":"2023-05-19","cited_by_count":3,"area":null},{"id":"2306.04343","title":"Bayesian Optimisation Against Climate Change: Applications and Benchmarks","created":"2023-06-07","cited_by_count":3,"area":null},{"id":"2311.13159","title":"Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow","created":"2023-11-22","cited_by_count":3,"area":null},{"id":"2501.18756","title":"A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization","created":"2025-01-30","cited_by_count":3,"area":null},{"id":"2501.19073","title":"Pareto-frontier Entropy Search with Variational Lower Bound Maximization","created":"2025-01-31","cited_by_count":3,"area":null},{"id":"2510.20872","title":"MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions","created":"2025-10-23","cited_by_count":3,"area":null},{"id":"2312.00622","title":"Practical Path-based Bayesian Optimization","created":"2023-12-01","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":"2509.03244","title":"FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization","created":"2025-09-03","cited_by_count":2,"area":null},{"id":"2510.23681","title":"Informed Initialization for Bayesian Optimization and Active Learning","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2604.09417","title":"Do We Really Need to Approach the Entire Pareto Front in Many-Objective Bayesian Optimisation?","created":"2026-04-10","cited_by_count":2,"area":null},{"id":"2606.07134","title":"$\\alpha$-PFN: Fast Entropy Search via In-Context Learning","created":"2026-06-05","cited_by_count":2,"area":null},{"id":"2402.11345","title":"Variational Entropy Search for Adjusting Expected Improvement","created":"2024-02-17","cited_by_count":1,"area":null},{"id":"2405.10221","title":"Scalarisation-based risk concepts for robust multi-objective optimisation","created":"2024-05-16","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":"2511.09598","title":"Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling","created":"2025-11-12","cited_by_count":1,"area":null},{"id":"2511.19241","title":"Local Entropy Search over Descent Sequences for Bayesian Optimization","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2605.17000","title":"BoLT: A Benchmark to Democratize Black-box Optimization Research for Expensive LLM Tasks","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2608.24721","title":"Enhancing Bayesian Optimization and Active Learning Through Kernel Diversity","created":"2026-08-25","cited_by_count":1,"area":null},{"id":"2406.14876","title":"Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization","created":"2024-06-21","cited_by_count":0,"area":null},{"id":"2412.02484","title":"Vector Optimization with Gaussian Process Bandits","created":"2024-12-03","cited_by_count":0,"area":null},{"id":"2412.08085","title":"Non-Myopic Multi-Objective Bayesian Optimization","created":"2024-12-11","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":"2602.00640","title":"Combinatorial Bandit Bayesian Optimization for Tensor Outputs","created":"2026-01-31","cited_by_count":0,"area":null},{"id":"2604.15959","title":"Multi-Objective Bayesian Optimization via Adaptive \\varepsilon-Constraints Decomposition","created":"2026-04-17","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":"2609.13396","title":"Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation","created":"2026-09-11","cited_by_count":0,"area":null},{"id":"2609.31940","title":"Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.32464","title":"Adapting Nonstationary Multi-output Gaussian Processes to Bayesian Optimization","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2609.32632","title":"Learning What to Evaluate: Correlation-Aware Decoupling for Multiobjective Bayesian Optimization","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}