conftrace_

acquisition function

129 papers

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Also known as

AF

Co-occurring keywords

bayesian optimization (624) gaussian process (1200) active learning (1301) expected improvement (30) multi-objective optimization (364) surrogate model (181) hyperparameter optimization (406) black-box optimization (183) entropy search (18) regret bound (1926)

Papers

A²LC: Active and Automated Label Correction for Semantic Segmentation AAAI 2026
Function-on-Function Bayesian Optimization AAAI 2026
EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference EMNLP 2025
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025
Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024
Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization AAAI 2024
Principled Bayesian Optimization in Collaboration with Human Experts NIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index NIPS 2024
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Approximation-Aware Bayesian Optimization NIPS 2024
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization NIPS 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition EMNLP 2023
A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023
Towards Controlled Data Augmentations for Active Learning ICML 2023
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023