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

Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation COLING 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024
Pre-trained Gaussian Processes for Bayesian Optimization JMLR 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024
Bayesian Optimization of Functions over Node Subsets in Graphs NIPS 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024
Event-triggered safe Bayesian optimization on quadcopters L4DC 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Looping in the Human: Collaborative and Explainable Bayesian Optimization AISTATS 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024
Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models NAACL 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024
Scalable Meta-Learning with Gaussian Processes AISTATS 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NIPS 2024