Francesco Spadaro

3 papers · 2020–2021 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

ICML (2) NeurIPS (1)

Top co-authors

Berfin Simsek (3) Clement Hongler (3) Arthur Jacot (3) Franck Gabriel (2) François Ged (1) Johanni Brea (1) Wulfram Gerstner (1)

Research topics

Machine Learning (3) Core Methods (2) Optimization & Theory · Machine Learning (2) Deep Learning (1) Mathematics & Optimization (1) Architectures (1) Learning Types (1) Mathematics (1) Optimization & Theory · Deep Learning (1)

Keywords

kernel ridge regression (2) learning theory (1) loss landscape (1) generalization error (1) random matrix theory (1) implicit regularization (1) affine subspace (1) random feature model (1) critical point (1) overparameterized neural network (1) risk prediction (1) kernel alignment (1) permutation symmetry (1) statistical learning (1) kernel methods (1)

Papers

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances ICML 2021 Implicit Regularization of Random Feature Models ICML 2020 Kernel Alignment Risk Estimator: Risk Prediction from Training Data NeurIPS 2020