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

Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
Approximation-Aware Bayesian Optimization NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning NIPS 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024
MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration EMNLP 2024
Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation COLING 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NIPS 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
Batched Energy-Entropy acquisition for Bayesian Optimization NIPS 2024
Generative Adversarial Model-Based Optimization via Source Critic Regularization NIPS 2024
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index NIPS 2024
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023
Memory-Based Dual Gaussian Processes for Sequential Learning ICML 2023
Constrained Causal Bayesian Optimization ICML 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Mixed-Variable Black-Box Optimisation Using Value Proposal Trees AAAI 2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning IJCAI 2023
Backpropagation Path Search On Adversarial Transferability ICCV 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
Bayesian Optimization with Conformal Prediction Sets AISTATS 2023