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Optimization
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Bayesian Optimization
100 directly classified papers
Papers per year
2011: 2
2012: 1
2013: 2
2014: 1
2015: 1
2016: 2
2017: 5
2018: 1
2019: 9
2020: 11
2021: 8
2022: 19
2023: 9
2024: 15
2025: 14
Papers
Generalizing Bayesian Optimization with Decision-theoretic Entropies
NIPS 2022
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
NIPS 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
NIPS 2022
Information-Theoretic Safe Exploration with Gaussian Processes
NIPS 2022
SnAKe: Bayesian Optimization with Pathwise Exploration
NIPS 2022
Triangulation candidates for Bayesian optimization
NIPS 2022
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
NIPS 2022
Bayesian Optimization with High-Dimensional Outputs
NIPS 2021
Adaptive Experimental Design for Optimizing Combinatorial Structures
IJCAI 2021
Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification
EMNLP 2021
Mercer Features for Efficient Combinatorial Bayesian Optimization
AAAI 2021
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
AAAI 2021
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
AAAI 2021
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach
AAAI 2021
Optimal Order Simple Regret for Gaussian Process Bandits
NIPS 2021
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
AAAI 2020
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards
NIPS 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks
NIPS 2020
Black-Box Optimization with Local Generative Surrogates
NIPS 2020
BOSS: Bayesian Optimization over String Spaces
NIPS 2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
NIPS 2020
Knowing The What But Not The Where in Bayesian Optimization
ICML 2020
Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract)
AAAI 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems
AAAI 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs
AAAI 2020
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