2022 Women and Mathematics

Recent deep learning models have achieved impressive predictive performance by learning complex functions of many variables, often at the cost of interpretability. This lecture first defines interpretable machine learning in general and introduces...

Melanie Weber, University of Oxford
4:30 pm - 4:50 pm
Title: Geometric Methods for Machine Learning and Optimization
Abstract: A key challenge in machine learning and optimization is the identification of geometric structure in high-dimensional data...

In computer vision, generalization of neural representations is usually measured on i.i.d. data. This hides the fact that representations often struggle to generalize to non-i.i.d data and fail to overcome the biases inherent in visual datasets. I...