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

Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization NIPS 2021
Constrained Two-step Look-Ahead Bayesian Optimization NIPS 2021
Bayesian Optimization of Function Networks NIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs NIPS 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios NIPS 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning NIPS 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NIPS 2021
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020
Efficient Rollout Strategies for Bayesian Optimization UAI 2020
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization AISTATS 2020
BOSS: Bayesian Optimization over String Spaces NIPS 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization AISTATS 2020
Multi-objective Bayesian Optimization using Pareto-frontier Entropy ICML 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization NIPS 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020
Active Learning for Imbalanced Datasets WACV 2020
Knowing The What But Not The Where in Bayesian Optimization ICML 2020
Bayesian Optimization using Pseudo-Points IJCAI 2020
Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020
Nonmyopic Gaussian Process Optimization with Macro-Actions AISTATS 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly JMLR 2020
Amortized Bayesian Optimization over Discrete Spaces UAI 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods NIPS 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks NIPS 2020