{"total":32,"rows":[{"id":"2501.02885","title":"MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs","created":"2025-01-06","cited_by_count":43,"area":null},{"id":"2507.03910","title":"Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces","created":"2025-07-05","cited_by_count":14,"area":null},{"id":"2512.00170","title":"We Still Don't Understand High-Dimensional Bayesian Optimization","created":"2025-11-28","cited_by_count":12,"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":"2404.03531","title":"COMO: Compact Mapping and Odometry","created":"2024-04-04","cited_by_count":10,"area":null},{"id":"2307.13371","title":"Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation","created":"2023-07-25","cited_by_count":8,"area":null},{"id":"2312.05568","title":"Sparse Variational Student-t Processes","created":"2023-12-09","cited_by_count":8,"area":null},{"id":"2406.04308","title":"Approximation-Aware Bayesian Optimization","created":"2024-06-06","cited_by_count":8,"area":null},{"id":"2412.20375","title":"Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes","created":"2024-12-29","cited_by_count":8,"area":null},{"id":"2410.10384","title":"Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal","created":"2024-10-14","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":"2405.14540","title":"This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization","created":"2024-05-23","cited_by_count":6,"area":null},{"id":"2502.06645","title":"Koopman-Equivariant Gaussian Processes","created":"2025-02-10","cited_by_count":6,"area":null},{"id":"2303.05263","title":"Fast post-process Bayesian inference with Variational Sparse Bayesian Quadrature","created":"2023-03-09","cited_by_count":3,"area":null},{"id":"2405.08318","title":"No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes","created":"2024-05-14","cited_by_count":3,"area":null},{"id":"2501.15458","title":"Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions","created":"2025-01-26","cited_by_count":3,"area":null},{"id":"2402.14081","title":"Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning","created":"2024-02-21","cited_by_count":2,"area":null},{"id":"2408.06699","title":"Sparse Variational Student-t Processes for Heavy-tailed Modeling","created":"2024-08-13","cited_by_count":2,"area":null},{"id":"2402.03809","title":"Combining additivity and active subspaces for high-dimensional Gaussian process modeling","created":"2024-02-06","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":"2505.21133","title":"Robust and Computation-Aware Gaussian Processes","created":"2025-05-27","cited_by_count":1,"area":null},{"id":"2406.12661","title":"SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization's Curse of Dimensionality","created":"2024-06-18","cited_by_count":0,"area":null},{"id":"2504.07742","title":"Gradient-based Sample Selection for Faster Bayesian Optimization","created":"2025-04-10","cited_by_count":0,"area":null},{"id":"2504.20527","title":"Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions","created":"2025-04-29","cited_by_count":0,"area":null},{"id":"2506.12818","title":"Taking the GP Out of the Loop","created":"2025-06-15","cited_by_count":0,"area":null},{"id":"2511.15822","title":"Atlas Gaussian processes on restricted domains and point clouds","created":"2025-11-19","cited_by_count":0,"area":null},{"id":"2602.17679","title":"Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization","created":"2026-02-04","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":"2606.30228","title":"B3O: Scalable Boltzmann Batch Bayesian Optimization","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2606.31284","title":"Sequential sparse Gaussian process quantile regression","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2609.26624","title":"On Basis Function Selection for Sparse Gaussian Process Regression","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.31107","title":"Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}