random search

Don’t Waste Your Time: Early Stopping Cross-Validation AutoML 2024 Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold L4DC 2023 Generalizing Gaussian Smoothing for Random Search ICML 2022 Revisiting Random Channel Pruning for Neural Network Compression CVPR 2022 Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks AAAI 2022 The Importance of Hyperparameter Optimisation for Facial Recognition Applications AAAI 2022 Frugal Optimization for Cost-related Hyperparameters AAAI 2021 Hyperparameter Optimization Is Deceiving Us, and How to Stop It NeurIPS 2021 Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks NeurIPS 2021 MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling AAAI 2021 On the Second-order Convergence Properties of Random Search Methods NeurIPS 2021 Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection ICCV 2021 To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation EMNLP 2021 Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020 Hyperparameter Ensembles for Robustness and Uncertainty Quantification NeurIPS 2020 Learning the model-free linear quadratic regulator via random search L4DC 2020 Learning to Guide Random Search ICLR 2020 Guided evolutionary strategies: augmenting random search with surrogate gradients ICML 2019 Random Search and Reproducibility for Neural Architecture Search UAI 2019 Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization JMLR 2018 Simple random search of static linear policies is competitive for reinforcement learning NeurIPS 2018 Random Search for Hyper-Parameter Optimization JMLR 2012 Algorithms for Hyper-Parameter Optimization NeurIPS 2011