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

Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
Discovering Many Diverse Solutions with Bayesian Optimization AISTATS 2023
Robust Bayesian Satisficing NIPS 2023
Bayesian Optimization with Conformal Prediction Sets AISTATS 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NIPS 2023
Failure-Aware Gaussian Process Optimization with Regret Bounds NIPS 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation AISTATS 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers NIPS 2023
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023
Batch Bayesian Optimization For Replicable Experimental Design NIPS 2023
The Behavior and Convergence of Local Bayesian Optimization NIPS 2023
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses NIPS 2023
Physics-Informed Bayesian Optimization of Variational Quantum Circuits NIPS 2023
A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023
Distributionally Robust Bayesian Optimization with $\varphi$-divergences NIPS 2023
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023
Quantum Bayesian Optimization NIPS 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
Unexpected Improvements to Expected Improvement for Bayesian Optimization NIPS 2023
PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023
Bayesian Optimization Meets Self-Distillation ICCV 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning NIPS 2023
Differentiable Multi-Target Causal Bayesian Experimental Design ICML 2023
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023