Matthias Seeger

1. Learning search spaces for Bayesian optimization: Another view of\n hyperparameter transfer learning
   2019/09/27 by Valerio Perrone, Huibin Shen, Perrone, Valerio +7 · 5 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
2. Automatic Termination for Hyperparameter Optimization
   2021/04/16 by Anastasia Makarova, Makarova, Anastasia, Huibin Shen +13 · 3 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
3. Constrained Bayesian Optimization with Max-Value Entropy Search
   2019/10/15 by Valerio Perrone, Perrone, Valerio, Iaroslav Shcherbatyi +7 · 3 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification
4. Optimizing Hyperparameters with Conformal Quantile Regression
   2023/05/05 by David Salinas, Jacek Gołębiowski, Salinas, David +7 · 2 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
5. Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start
   2017/12/08 by Valerio Perrone, Perrone, Valerio, Rodolphe Jenatton +5 · 2 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Machine Learning and Algorithms