Paleyes, Andrei
- Causal Bayesian Optimization
2020/05/24 by Aglietti, Virginia, Lu, Xiaoyu, Paleyes, Andrei +1 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Automatic Discovery of Privacy-Utility Pareto Fronts
2019/05/26 by Avent, Brendan, Gonzalez, Javier, Diethe, Tom +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Good practices for Bayesian Optimization of high dimensional structured spaces
2020/12/31 by Siivola, Eero, Gonzalez, Javier, Paleyes, Andrei +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Emulation of physical processes with Emukit
2021/10/25 by Paleyes, Andrei, Pullin, Mark, Mahsereci, Maren +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Dataflow graphs as complete causal graphs
2023/03/16 by Paleyes, Andrei, Guo, Siyuan, Schölkopf, Bernhard +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
- Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow
2023/02/16 by Victor Picheny, Joel Berkeley, Picheny, Victor +29 · 1 citation
Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Neural Network Applications #Machine Learning and Data Classification