Alexander Mey

1. Minimizers of the Empirical Risk and Risk Monotonicity
   2019/07/11 by Marco Loog, Tom J. Viering, Loog, Marco +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
2. Consistency and Finite Sample Behavior of Binary Class Probability\n Estimation
   2019/08/30 by Alexander Mey, Marco Loog, Mey, Alexander +1 · 1 citation
   Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. A Note on High-Probability versus In-Expectation Guarantees of\n Generalization Bounds in Machine Learning
   2020/10/06 by Alexander Mey, Mey, Alexander · 1 citation
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Mechanics and Entropy