{"total":63,"rows":[{"id":"2205.13320","title":"Towards Learning Universal Hyperparameter Optimizers with Transformers","created":"2022-05-26","cited_by_count":81,"area":null},{"id":"2305.17535","title":"PFNs4BO: In-Context Learning for Bayesian Optimization","created":"2023-05-27","cited_by_count":73,"area":null},{"id":"2304.14979","title":"MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks","created":"2023-04-28","cited_by_count":66,"area":null},{"id":"2503.22674","title":"QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?","created":"2025-03-28","cited_by_count":63,"area":"lr"},{"id":"2305.15930","title":"End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes","created":"2023-05-25","cited_by_count":32,"area":null},{"id":"2306.12370","title":"PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning","created":"2023-06-21","cited_by_count":31,"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":"2404.16795","title":"In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization","created":"2024-04-25","cited_by_count":26,"area":null},{"id":"2412.06771","title":"Proactive Agents for Multi-Turn Text-to-Image Generation Under Uncertainty","created":"2024-12-09","cited_by_count":25,"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":"2405.03547","title":"Position: Leverage Foundational Models for Black-Box Optimization","created":"2024-05-06","cited_by_count":21,"area":null},{"id":"2304.09431","title":"Martingale Posterior Neural Processes","created":"2023-04-19","cited_by_count":16,"area":null},{"id":"2402.17423","title":"Reinforced In-Context Black-Box Optimization","created":"2024-02-27","cited_by_count":14,"area":null},{"id":"2207.06940","title":"PASHA: Efficient HPO and NAS with Progressive Resource Allocation","created":"2022-07-14","cited_by_count":13,"area":null},{"id":"2404.05215","title":"Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation","created":"2024-04-08","cited_by_count":12,"area":null},{"id":"2305.18213","title":"Gaussian Process Probes (GPP) for Uncertainty-Aware Probing","created":"2023-05-29","cited_by_count":11,"area":null},{"id":"2502.18116","title":"Bayesian Optimization for Controlled Image Editing via LLMs","created":"2025-02-25","cited_by_count":11,"area":null},{"id":"2309.16597","title":"Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces","created":"2023-09-28","cited_by_count":9,"area":null},{"id":"2410.10190","title":"Language Model Embeddings Can Be Sufficient for Bayesian Optimization","created":"2024-10-14","cited_by_count":8,"area":null},{"id":"2501.02926","title":"Offline-to-online hyperparameter transfer for stochastic bandits","created":"2025-01-06","cited_by_count":7,"area":"offlinerl"},{"id":"2506.07109","title":"Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings","created":"2025-06-08","cited_by_count":7,"area":null},{"id":"2207.03084","title":"Pre-training helps Bayesian optimization too","created":"2022-07-07","cited_by_count":5,"area":null},{"id":"2303.15212","title":"Deep Ranking Ensembles for Hyperparameter Optimization","created":"2023-03-27","cited_by_count":5,"area":null},{"id":"2506.19540","title":"Overtuning in Hyperparameter Optimization","created":"2025-06-24","cited_by_count":5,"area":null},{"id":"2212.10538","title":"HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes","created":"2022-12-20","cited_by_count":4,"area":null},{"id":"2408.06069","title":"Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations","created":"2024-08-12","cited_by_count":4,"area":null},{"id":"2502.01276","title":"HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization","created":"2025-02-03","cited_by_count":4,"area":null},{"id":"2505.17804","title":"Hyperparameter Optimization via Interacting with Probabilistic Circuits","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2312.00742","title":"Scalable Meta-Learning with Gaussian Processes","created":"2023-12-01","cited_by_count":3,"area":null},{"id":"2503.03625","title":"Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2511.01006","title":"None To Optima in Few Shots: Bayesian Optimization with MDP Priors","created":"2025-11-02","cited_by_count":3,"area":null},{"id":"2405.17918","title":"Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolation","created":"2024-05-28","cited_by_count":2,"area":null},{"id":"2408.02533","title":"LMEMs for post-hoc analysis of HPO Benchmarking","created":"2024-08-05","cited_by_count":2,"area":null},{"id":"2502.01861","title":"Learning Hyperparameters via a Data-Emphasized Variational Objective","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2510.21379","title":"Cost-Sensitive Freeze-thaw Bayesian Optimization for Efficient Hyperparameter Tuning","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2511.02570","title":"Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization","created":"2025-11-04","cited_by_count":2,"area":null},{"id":"2604.23099","title":"ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation","created":"2026-04-25","cited_by_count":2,"area":null},{"id":"2211.10747","title":"Exploring validation metrics for offline model-based optimisation with diffusion models","created":"2022-11-19","cited_by_count":1,"area":"diffusion"},{"id":"2503.08131","title":"Large Scale Multi-Task Bayesian Optimization with Large Language Models","created":"2025-03-11","cited_by_count":1,"area":null},{"id":"2504.21254","title":"ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning","created":"2025-04-30","cited_by_count":1,"area":null},{"id":"2507.02256","title":"Uncertainty-aware Reward Design Process","created":"2025-07-03","cited_by_count":1,"area":"lr"},{"id":"2510.03051","title":"ZeroShotOpt: Towards Zero-Shot Pretrained Models for Efficient Black-Box Optimization","created":"2025-10-03","cited_by_count":1,"area":null},{"id":"2510.25404","title":"SemanticOpt: Towards LLM-Based Semantic Black-Box Optimization","created":"2025-10-29","cited_by_count":1,"area":null},{"id":"2511.03125","title":"Provable Accelerated Bayesian Optimization with Knowledge Transfer","created":"2025-11-05","cited_by_count":1,"area":null},{"id":"2511.08371","title":"Multi-objective Hyperparameter Optimization in the Age of Deep Learning","created":"2025-11-11","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":"2601.21060","title":"Human-LLM Collaborative Feature Engineering for Tabular Data","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2409.05325","title":"Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces","created":"2024-09-09","cited_by_count":0,"area":null},{"id":"2502.09329","title":"Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space","created":"2025-02-13","cited_by_count":0,"area":null},{"id":"2503.06093","title":"Clustering-based Meta Bayesian Optimization with Theoretical Guarantee","created":"2025-03-08","cited_by_count":0,"area":null},{"id":"2507.01724","title":"Revisiting Learning Rate Control","created":"2025-07-02","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":"2510.08965","title":"HiBBO: HiPPO-based Space Consistency for High-dimensional Bayesian Optimisation","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2601.15640","title":"An Empirical Study on Ensemble-Based Transfer Learning Bayesian Optimisation with Mixed Variable Types","created":"2026-01-22","cited_by_count":0,"area":null},{"id":"2601.22131","title":"SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.12082","title":"Empirical Gaussian Processes","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2602.12112","title":"Few-Shot Design Optimization by Exploiting Auxiliary Information","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2605.04895","title":"Regime-Conditioned Evaluation in Multi-Context Bayesian Optimization","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2605.23417","title":"An Open-Source Training Dataset for Foundation Models for Black-box Optimization","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2606.25207","title":"ASAP: Agent-System Co-Design for Wall-Clock-Centered Auto HPO Research for ML Experiments","created":"2026-06-23","cited_by_count":0,"area":"agents"},{"id":"2607.09073","title":"Pitfalls and Remedies for Multi-Task Bayesian Optimization","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2607.16927","title":"Deep Adaptive Bayesian Screening","created":"2026-07-18","cited_by_count":0,"area":null}],"next_cursor":null}