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← Authors

Niklas Koep

3 papers · 2016–2020 · 2 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
🌍 Conference Polyglot (2) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) 👥 Mega-Team (20)

Conferences

JMLR (2) AISTATS (1)

Top co-authors

Christian Shewmake (1) Alice Le Brigant (1) Rudolf Mathar (1) Xavier Pennec (1) James Townsend (1) Olivier Peltre (1) Yann Thanwerdas (1) Johan Mathe (1) Hatem Hajri (1) Nina Miolane (1)

Keywords

riemannian optimization (1) neural network optimization (1) automatic differentiation (1) manifold optimization (1) generalization bound (1) margin bound (1) second order optimization (1) adversarial risk (1) optimization on manifold (1)

Papers

Adversarial Risk Bounds through Sparsity based Compression AISTATS 2020 Geomstats: A Python Package for Riemannian Geometry in Machine Learning JMLR 2020 Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation JMLR 2016