Title |
|---|
 Two-stage Optimization for Machine Learning WorkflowInformation Systems (IS), 2019 |
 Bayesian Optimisation over Multiple Continuous and Categorical InputsInternational Conference on Machine Learning (ICML), 2019 |
 Parameterized quantum circuits as machine learning modelsQuantum Science and Technology (QST), 2019 |
 A gray-box approach for curriculum learningWorld Congress on Global Optimization (WCGO), 2019 |
 Reliable training and estimation of variance networksNeural Information Processing Systems (NeurIPS), 2019 |
 Characterizing Bias in Classifiers using Generative ModelsNeural Information Processing Systems (NeurIPS), 2019 |
 Knowing The What But Not The Where in Bayesian OptimizationInternational Conference on Machine Learning (ICML), 2019 |
 Bayesian Optimization using Deep Gaussian ProcessesOptimization and Engineering (Optim. Eng.), 2019 |
 Combinatorial Bayesian Optimization using the Graph Cartesian ProductNeural Information Processing Systems (NeurIPS), 2019 |
