hyperparameter optimization

Knowing The What But Not The Where in Bayesian Optimization ICML 2020 KungFu: Making Training in Distributed Machine Learning Adaptive OSDI 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020 Learning to Rank Learning Curves ICML 2020 LibKGE - A knowledge graph embedding library for reproducible research EMNLP 2020 Look-ahead Meta Learning for Continual Learning NeurIPS 2020 Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020 Marthe: Scheduling the Learning Rate Via Online Hypergradients IJCAI 2020 Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization ICLR 2020 Meta-Learning with Adaptive Hyperparameters NeurIPS 2020 MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020 Neural Architecture Generator Optimization NeurIPS 2020 Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search AAAI 2020 On Performance Estimation in Automatic Algorithm Configuration AAAI 2020 On the Iteration Complexity of Hypergradient Computation ICML 2020 Optimizing Millions of Hyperparameters by Implicit Differentiation AISTATS 2020 Optimizing Transformer for Low-Resource Neural Machine Translation COLING 2020 Population-Based Black-Box Optimization for Biological Sequence Design ICML 2020 Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits NeurIPS 2020 PyGlove: Symbolic Programming for Automated Machine Learning NeurIPS 2020 Rethinking Performance Estimation in Neural Architecture Search CVPR 2020 Smash at SemEval-2020 Task 7: Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating SemEval 2020