David Sutter

2 papers · 2019–2024 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

JMLR (1) NeurIPS (1)

Top co-authors

Alessio Figalli (1) Gian Paolo Leonardi (1) John Lygeros (1) Peyman Mohajerin Esfahani (1) Massimiliano Datres (1) Tobias Sutter (1)

Research topics

Machine Learning (2) Optimization & Theory · Machine Learning (2) Artificial Intelligence (1) Deep Learning (1) Mathematics & Optimization (1) Architectures (1) Bayesian & Probabilistic (1) Optimization (1) Optimization & Theory · Deep Learning (1) Statistics (1)

Keywords

probabilistic modeling (1) maximum entropy (1) convex optimization (1) neural network optimization (1) dynamic programming (1) statistical model (1) generalization error (1) complexity measure (1) effective dimension (1) capacity measure (1) model capacity (1) neural network (1) moment constraint (1)

Papers

A two-scale Complexity Measure for Deep Learning Models NeurIPS 2024 Generalized Maximum Entropy Estimation JMLR 2019