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hyperparameter optimization

405 papers

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Also known as

HO

Co-occurring keywords

bayesian optimization (623) neural architecture search (665) gaussian process (1198) automated machine learning (94) model selection (454) surrogate model (181) hyperparameter tuning (213) transfer learning (5442) bilevel optimization (193) neural network optimization (1293)

Papers

Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023
LiDAR-in-the-Loop Hyperparameter Optimization CVPR 2023
Scaling Laws for Hyperparameter Optimization NIPS 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
HyperJump: Accelerating HyperBand via Risk Modelling AAAI 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
FLASH: Automating federated learning using CASH UAI 2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings AISTATS 2023
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023
AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration AAAI 2023
Robust Gaussian process regression with the trimmed marginal likelihood UAI 2023
AutoML for NLP EACL 2023
Sparse Bayesian optimization AISTATS 2023
EasyRec: An Easy-to-Use, Extendable and Efficient Framework for Building Industrial Recommendation Systems AAAI 2023
Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023
Online Hyperparameter Optimization for Class-Incremental Learning AAAI 2023
Code-Aware Cross-Program Transfer Hyperparameter Optimization AAAI 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023
Carburacy: Summarization Models Tuning and Comparison in Eco-Sustainable Regimes with a Novel Carbon-Aware Accuracy AAAI 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023
Bayesian Optimization Meets Self-Distillation ICCV 2023
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization IJCAI 2023