Neurips2021

Our three papers

• Learning Gaussian Mixtures with Generalised Linear Models: Precise Asymptotics in High-dimensions
• Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime
• Learning curves of generic features maps for realistic datasets with a teacher-student model

were accepted for publication at NeurIPS 2021! See you virtually in December!