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hyperparameter optimization

405 papers

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Also known as

CASH OPTUNA BO HO HPO

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

Scaling Laws for Hyperparameter Optimization NIPS 2023
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching JMLR 2023
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection NIPS 2023
Efficient Activation Function Optimization through Surrogate Modeling NIPS 2023
AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark INTERSPEECH 2023
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NIPS 2023
FLASH: Automating federated learning using CASH UAI 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning NIPS 2023
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures NIPS 2023
LiDAR-in-the-Loop Hyperparameter Optimization CVPR 2023
PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023
A Hyperparameter Optimization Toolkit for Neural Machine Translation Research ACL 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023
ProxyBO: Accelerating Neural Architecture Search via Bayesian Optimization with Zero-Cost Proxies AAAI 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces IJCAI 2023
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization NIPS 2023
Multi-armed bandits for resource efficient, online optimization of language model pre-training: the use case of dynamic masking ACL 2023
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator IJCAI 2023
On Penalty-based Bilevel Gradient Descent Method ICML 2023
Online Control for Meta-optimization NIPS 2023
AutoRL Hyperparameter Landscapes AUTOML 2023
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search NIPS 2022
Efficient and Modular Implicit Differentiation NIPS 2022
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning JMLR 2022