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

Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization EACL 2026
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models ACL 2026
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling AAAI 2026
Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics AAAI 2026
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026
Function-on-Function Bayesian Optimization AAAI 2026
LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data AAAI 2026
MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization AAAI 2026
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models AAAI 2025
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025
Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025
Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025
Language-Based Bayesian Optimization Research Assistant (BORA) IJCAI 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set AAAI 2025
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design AAAI 2025
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025
Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025