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

ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023
Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
Physics-Informed Bayesian Optimization of Variational Quantum Circuits NIPS 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization AUTOML 2023
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023
Unexpected Improvements to Expected Improvement for Bayesian Optimization NIPS 2023
SAAL: Sharpness-Aware Active Learning ICML 2023
Prediction-Oriented Bayesian Active Learning AISTATS 2023
ALWOD: Active Learning for Weakly-Supervised Object Detection ICCV 2023
Towards Controlled Data Augmentations for Active Learning ICML 2023
Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning NIPS 2023
On Dataset Transferability in Active Learning for Transformers ACL 2023
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023
A General Recipe for Likelihood-free Bayesian Optimization ICML 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization RSS 2022
Human-AI Collaborative Bayesian Optimisation NIPS 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs AISTATS 2022
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty ICML 2022
Triangulation candidates for Bayesian optimization NIPS 2022
Pareto Set Learning for Expensive Multi-Objective Optimization NIPS 2022