{"total":64,"rows":[{"id":"2310.20708","title":"Unexpected Improvements to Expected Improvement for Bayesian Optimization","created":"2023-10-31","cited_by_count":149,"area":null},{"id":"2103.00349","title":"High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces","created":"2021-02-27","cited_by_count":141,"area":null},{"id":"2402.02229","title":"Vanilla Bayesian Optimization Performs Great in High Dimensions","created":"2024-02-03","cited_by_count":92,"area":null},{"id":"2106.00786","title":"The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations","created":"2021-06-01","cited_by_count":87,"area":null},{"id":"2206.03301","title":"Recent Advances in Bayesian Optimization","created":"2022-06-07","cited_by_count":76,"area":null},{"id":"2102.07188","title":"Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces","created":"2021-02-14","cited_by_count":53,"area":null},{"id":"2304.11468","title":"Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces","created":"2023-04-22","cited_by_count":52,"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":"2406.15708","title":"Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization","created":"2024-06-22","cited_by_count":29,"area":null},{"id":"2307.00618","title":"Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces","created":"2023-07-02","cited_by_count":28,"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":"2206.08575","title":"Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization","created":"2022-06-17","cited_by_count":22,"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":"2204.04906","title":"Application of QUBO solver using black-box optimization to structural design for resonance avoidance","created":"2022-04-11","cited_by_count":17,"area":null},{"id":"2310.12774","title":"Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning","created":"2023-10-19","cited_by_count":17,"area":null},{"id":"2102.13640","title":"NOMU: Neural Optimization-based Model Uncertainty","created":"2021-02-26","cited_by_count":16,"area":null},{"id":"2201.12570","title":"AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation","created":"2022-01-29","cited_by_count":16,"area":null},{"id":"2306.09803","title":"Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization","created":"2023-06-16","cited_by_count":16,"area":null},{"id":"2207.00879","title":"Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces","created":"2022-07-02","cited_by_count":14,"area":null},{"id":"2111.01235","title":"Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions","created":"2021-11-01","cited_by_count":10,"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":"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":"2306.01276","title":"Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization","created":"2023-06-02","cited_by_count":7,"area":null},{"id":"2106.09884","title":"Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks","created":"2021-06-18","cited_by_count":6,"area":null},{"id":"2112.14921","title":"Retrieving Black-box Optimal Images from External Databases","created":"2021-12-30","cited_by_count":6,"area":null},{"id":"2204.10579","title":"Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming","created":"2022-04-22","cited_by_count":6,"area":null},{"id":"2210.10962","title":"Optimization on Manifolds via Graph Gaussian Processes","created":"2022-10-20","cited_by_count":6,"area":null},{"id":"2102.13382","title":"Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel","created":"2021-02-26","cited_by_count":5,"area":null},{"id":"2201.12767","title":"Bayesian Optimization For Multi-Objective Mixed-Variable Problems","created":"2022-01-30","cited_by_count":5,"area":null},{"id":"2102.12792","title":"Mixed Variable Bayesian Optimization with Frequency Modulated Kernels","created":"2021-02-25","cited_by_count":4,"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":"2206.12510","title":"Black Box Optimization Using QUBO and the Cross Entropy Method","created":"2022-06-24","cited_by_count":3,"area":null},{"id":"2403.15757","title":"User-Side Realization","created":"2024-03-23","cited_by_count":3,"area":null},{"id":"2512.09586","title":"Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates","created":"2025-12-10","cited_by_count":3,"area":null},{"id":"2102.05308","title":"Explaining Inference Queries with Bayesian Optimization","created":"2021-02-10","cited_by_count":2,"area":null},{"id":"2104.08048","title":"A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning","created":"2021-04-16","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":"2510.01471","title":"Fine-tuning LLMs with variational Bayesian last layer for high-dimensional Bayesian optimization","created":"2025-10-01","cited_by_count":2,"area":null},{"id":"2205.10157","title":"Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens","created":"2022-05-20","cited_by_count":1,"area":null},{"id":"2207.08398","title":"Bayesian Optimization for Macro Placement","created":"2022-07-18","cited_by_count":1,"area":null},{"id":"2305.18089","title":"Inverse Protein Folding Using Deep Bayesian Optimization","created":"2023-05-25","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":"2508.08778","title":"Subsampling Factorization Machine Annealing","created":"2025-08-12","cited_by_count":1,"area":null},{"id":"2510.26633","title":"Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization","created":"2025-10-30","cited_by_count":1,"area":null},{"id":"2601.00088","title":"Dynamic Bayesian Optimization Framework for Instruction Tuning in Partial Differential Equation Discovery","created":"2025-12-31","cited_by_count":1,"area":null},{"id":"2112.08094","title":"Automatic tuning of hyper-parameters of reinforcement learning algorithms using Bayesian optimization with behavioral cloning","created":"2021-12-15","cited_by_count":0,"area":"offlinerl"},{"id":"2401.10811","title":"Simulation Based Bayesian Optimization","created":"2024-01-19","cited_by_count":0,"area":null},{"id":"2501.06916","title":"Filtering out mislabeled training instances using black-box optimization and quantum annealing","created":"2025-01-12","cited_by_count":0,"area":null},{"id":"2503.02630","title":"Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2505.10012","title":"Quantum Computing and AI: Perspectives on Advanced Automation in Science and Engineering","created":"2025-05-15","cited_by_count":0,"area":null},{"id":"2507.08053","title":"Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently","created":"2025-07-10","cited_by_count":0,"area":null},{"id":"2508.06847","title":"MOCA-HESP: Meta High-dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-ellipsoid Partitioning","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2510.27643","title":"Bayesian Optimization on Networks","created":"2025-10-31","cited_by_count":0,"area":null},{"id":"2606.17319","title":"Tight $L_\\infty$ Sample Complexity for Low-Degree and Sparse Boolean Polynomials","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2606.23188","title":"Stage-dependent integer-binary encoding in factorization-machine black-box optimization","created":"2026-06-22","cited_by_count":0,"area":null},{"id":"2607.12266","title":"Saturation Makes Quantization Error Additive: A Coverage Model with a Certificate","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2607.27630","title":"SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2609.33131","title":"ILP-BO: Integer Linear Programming-Based Black-Box Optimization","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}