hyperparameter optimization

BoFire: Bayesian Optimization Framework Intended for Real Experiments JMLR 2025 DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation IJCAI 2025 DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning JMLR 2025 EcoTune: Token-Efficient Multi-Fidelity Hyperparameter Optimization for Large Language Model Inference EMNLP 2025 Exploiting Edited Large Language Models as General Scientific Optimizers NAACL 2025 Exploring smaller batch sizes for a high-performing BabyLM model architecture EMNLP 2025 First-Order Federated Bilevel Learning AAAI 2025 Flexora: Flexible Low-Rank Adaptation for Large Language Models ACL 2025 FreSh: Frequency Shifting for Accelerated Neural Representation Learning ICLR 2025 Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization AutoML 2025 FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch ICML 2025 Hyperparameter Optimization via Interacting with Probabilistic Circuits AutoML 2025 IIITH-BUT system for IWSLT 2025 low-resource Bhojpuri to Hindi speech translation ACL 2025 Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning CVPR 2025 (Mis)Fitting Scaling Laws: A Survey of Scaling Law Fitting Techniques in Deep Learning ICLR 2025 Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning ICCV 2025 Multi-Surrogate-Objective Optimization for Neural Topic Models EMNLP 2025 No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025 Offline-to-Online Hyperparameter Transfer for Stochastic Bandits AAAI 2025 o-MEGA: Optimized Methods for Explanation Generation and Analysis EMNLP 2025 On Speeding Up Language Model Evaluation ICLR 2025 Overtuning in Hyperparameter Optimization AutoML 2025 qNBO: quasi-Newton Meets Bilevel Optimization ICLR 2025 Rethinking Table Instruction Tuning ACL 2025