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

QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025
BoFire: Bayesian Optimization Framework Intended for Real Experiments JMLR 2025
DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent COLING 2025
BLADE: Enhancing Black-Box Large Language Models with Small Domain-Specific Models AAAI 2025
CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization AAAI 2025
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization 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
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025
Multi-Objective Molecular Design Through Learning Latent Pareto Set AAAI 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025
Transfer-Aware Data Selection for Domain Adaptation in Text Retrieval EMNLP 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design AAAI 2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025
FreqTS: Frequency-Aware Token Selection for Accelerating Diffusion Models AAAI 2025
Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings AAAI 2025
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025
Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models ACL 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models AAAI 2025