Events

Principled Algorithms for Efficient Machine Learning

Phase Transitions and Algorithmic Aspects of the Binary Perceptron

Learning Theoretic Foundations for Modern (Data) Science

Supporting Policies and Interventions to Promote Healthy and Sustainable Habits

Asymptotics of high-dimensional Bayesian inference

Algorithmic Thresholds in Random Optimization Problems