Hyperparameter Optimization

HyperJump: Accelerating HyperBand via Risk Modelling AAAI 2023 Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization CVPR 2023 LiDAR-in-the-Loop Hyperparameter Optimization CVPR 2023 Online Hyperparameter Optimization for Class-Incremental Learning AAAI 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling NeurIPS 2023 Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives ICLR 2023 “Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NeurIPS 2023 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning NeurIPS 2022 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization AAAI 2022 Efficient Hyper-parameter Search for Knowledge Graph Embedding ACL 2022 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution NeurIPS 2022 Hyperparameter Tuning with Renyi Differential Privacy ICLR 2022 Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022 JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search NeurIPS 2022 The Importance of Hyperparameter Optimisation for Facial Recognition Applications AAAI 2022 The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022 Towards Learning Universal Hyperparameter Optimizers with Transformers NeurIPS 2022 A Highly-Parameterized Ensemble to Play Gin Rummy AAAI 2021 An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models ACL 2021 AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly ICLR 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks NeurIPS 2021 Composite Adversarial Attacks AAAI 2021 cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE EMNLP 2021 Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NeurIPS 2021