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

Few-shot Adaptation for Manipulating Granular Materials Under Domain Shift RSS 2023
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses NIPS 2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning IJCAI 2023
Bayesian Optimization with Switching Cost: Regret Analysis and Lookahead Variants IJCAI 2023
Backpropagation Path Search On Adversarial Transferability ICCV 2023
Fairness-aware class imbalanced learning on multiple subgroups UAI 2023
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information ICML 2023
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NIPS 2023
The Behavior and Convergence of Local Bayesian Optimization NIPS 2023
Two-stage Kernel Bayesian Optimization in High Dimensions UAI 2023
Bayesian Optimization-Based Combinatorial Assignment AAAI 2023
Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release NIPS 2023
Finite-time Koopman Identifier: A Unified Batch-online Learning Framework for Joint Learning of Koopman Structure and Parameters JMLR 2023
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NIPS 2023
Mixed-Effect Thompson Sampling AISTATS 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Causal Entropy Optimization AISTATS 2023
PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023
{PF}$^2$ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization AISTATS 2023
Differentiable Multi-Target Causal Bayesian Experimental Design ICML 2023
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers NIPS 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources AISTATS 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization IJCAI 2023
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars NIPS 2023