Quynh N Nguyen

3 papers · 2016–2021 · 1 venue · 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 ↓

🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird ❓ The Questioner

Venues

NeurIPS (3)

Top co-authors

Marco Mondelli (2) Antoine Gautier (1) Pierre Bréchet (1) Matthias Hein (1)

Research topics

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

Keywords

stochastic gradient descent (2) feature learning (1) neural network training (1) non-convex optimization (1) global convergence (1) neural network optimization (1) loss landscape (1) global optimization (1) gradient descent (1) linear convergence (1) spectral method (1) deep neural network (1) loss function (1) mode connectivity (1) deep network (1) overparameterized neural network (1) feedforward neural network (1) global optimum (1) polynomial neural network (1) dropout stability (1)

Papers

When Are Solutions Connected in Deep Networks? NeurIPS 2021 Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology NeurIPS 2020 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016