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Adam: A Method for Stochastic Optimizationhttps://arxiv.org/pdf/1412.6980.pdf
TAdam: A Robust Stochastic Gradient Optimizerhttps://arxiv.org/pdf/2003.00179.pdf
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A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learninghttps://arxiv.org/pdf/1012.2599.pdf
Practical Bayesian Optimization of Machine Learning Algorithmshttps://arxiv.org/pdf/1206.2944.pdf
Taking the Human Out of the Loop: A Review of Bayesian Optimizationhttps://www.cs.ox.ac.uk/people/nando.defreitas/publications/BayesOptLoop.pdf
Bayesian Optimization in High Dimensions via Random Embeddingshttps://www.cs.ubc.ca/~hutter/papers/13-IJCAI-BO-highdim.pdf
On the choice of the low-dimensional domain for globaloptimization via random embeddinghttps://arxiv.org/pdf/1704.05318.pdf
A Framework for Bayesian Optimization in Embedded Subspaceshttp://proceedings.mlr.press/v97/nayebi19a/nayebi19a.pdf
High Dimensional Bayesian Optimization via Supervised Dimension Reductionhttps://arxiv.org/pdf/1907.08953.pdf
Semi-supervised Embedding Learning for High-dimensionalBayesian Optimizationhttps://arxiv.org/pdf/2005.14601.pdf
BOHB: Robust and Efficient Hyperparameter Optimization at Scalehttp://proceedings.mlr.press/v80/falkner18a/falkner18a.pdf
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Approximate Solution of Certain Types of Constrained Optimization Problemshttps://pubsonline.informs.org/doi/pdf/10.1287/opre.18.6.1225
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