Efficient Machine learning

We present a machine learning approach for model-independent new physics searches. The corresponding algorithm is powered by recent large-scale implementations of kernel methods, nonparametric learning algorithms that can approximate any continuous …

We present a novel kernel-based anomaly detection algorithm for modelindependent new physics searches. The model is based on a re-weighted version of kernel logistic regression and it aims at learning the likelihood ratio test statistics from …