conftrace_

bayesian optimization

624 papers

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Also known as

BO BAYESOPT

Co-occurring keywords

gaussian process (1200) acquisition function (129) hyperparameter optimization (406) regret bound (1926) black-box optimization (183) surrogate model (181) hyperparameter tuning (215) multi-objective optimization (364) thompson sampling (237) high-dimensional optimization (53)

Papers

Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders ICML 2022
A General Recipe for Likelihood-free Bayesian Optimization ICML 2022
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling ICML 2022
On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022
Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022
Adversarial Attacks on Gaussian Process Bandits ICML 2022
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs JMLR 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise ICML 2022
Human-AI Collaborative Bayesian Optimisation NIPS 2022
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization AISTATS 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes AISTATS 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NIPS 2022
Bayesian Optimisation for Active Monitoring of Air Pollution AAAI 2022
Gaussian Process Bandits with Aggregated Feedback AAAI 2022
Monte Carlo Tree Descent for Black-Box Optimization NIPS 2022
Sample-Then-Optimize Batch Neural Thompson Sampling NIPS 2022
A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints AISTATS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization AISTATS 2022
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022
Supervising the Multi-Fidelity Race of Hyperparameter Configurations NIPS 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022
Combinatorial Bayesian optimization with random mapping functions to convex polytopes UAI 2022