conftrace_

hyperparameter tuning

215 papers

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Co-occurring keywords

bayesian optimization (624) hyperparameter optimization (406) gaussian process (1200) model selection (456) neural network optimization (1293) regret bound (1926) text classification (6793) transfer learning (5449) acquisition function (129) large language model (13587)

Papers

Mixed-Variable Bayesian Optimization IJCAI 2020
Tuning Causal Discovery Algorithms PGM 2020
KungFu: Making Training in Distributed Machine Learning Adaptive OSDI 2020
Efficient Large-Scale Gaussian Process Bandits by Believing only Informative Actions L4DC 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change ACL 2020
Evaluating Word Embeddings on Low-Resource Languages EMNLP 2020
A Self-Tuning Actor-Critic Algorithm NIPS 2020
Bayesian Optimization for Iterative Learning NIPS 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020
Inefficiency of K-FAC for Large Batch Size Training AAAI 2020
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning ICML 2020
BINOCULARS for efficient, nonmyopic sequential experimental design ICML 2020
A Quantile-based Approach for Hyperparameter Transfer Learning ICML 2020
Weighted Sampling for Combined Model Selection and Hyperparameter Tuning AAAI 2020
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models ICML 2020
Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework AAAI 2020
Truncated Back-propagation for Bilevel Optimization AISTATS 2019
Bayesian Optimization with Binary Auxiliary Information UAI 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning UAI 2019
Augmenting and Tuning Knowledge Graph Embeddings UAI 2019
A Large-Scale Study on Regularization and Normalization in GANs ICML 2019
Improving Model Selection by Employing the Test Data ICML 2019
Learning Optimal Linear Regularizers ICML 2019
Safe Grid Search with Optimal Complexity ICML 2019
Fast Efficient Hyperparameter Tuning for Policy Gradient Methods NIPS 2019