49 citations · 79 across the 11 of their papers we have counts for
4 papers · 1 filter
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Maria Perez-Ortiz, Omar Rivasplata, Benjamin Guedj +5
Recent works have investigated deep learning models trained by optimising PAC-Bayes bounds, with priors that are learnt on subsets of the data. This combination has been shown to l…
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
Aliaksei Mikhailiuk, Clifford Wilmot, Maria Perez-Ortiz +2
Pairwise comparison data arise in many domains with subjective assessment experiments, for example in image and video quality assessment. In these experiments observers are asked t…
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Maria Perez-Ortiz, Peter Tino, Rafal Mantiuk +1
Data augmentation is rapidly gaining attention in machine learning. Synthetic data can be generated by simple transformations or through the data distribution. In the latter case,…
A mixture of experts model for predicting persistent weather patterns
Maria Perez-Ortiz, Pedro A. Gutierrez, Peter Tino +2
Weather and atmospheric patterns are often persistent. The simplest weather forecasting method is the so-called persistence model, which assumes that the future state of a system w…