← Authors

Luis Rademacher

8 papers · 2013–2024 · 3 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (11) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (10) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter

Conferences

COLT (4) NIPS (3) AISTATS (1)

Top co-authors

Mikhail Belkin (6) James Voss (3) Joseph Anderson (2) James R Voss (2) Navin Goyal (2) Amirhesam Abedsoltan (1) Parthe Pandit (1) Brett Leroux (1)

Research topics

Probability (1)

Keywords

independent component analysis (6) gaussian noise (3) tensor decomposition (3) dimensionality reduction (2) blind source separation (2) gradient descent (2) signal separation (2) nearest neighbor search (1) distance estimation (1) basis learning (1) nystrΓΆm approximation (1) cumulant functions (1) gaussian noise invariance (1) quasi-orthogonalization (1) random projection (1) polynomial time algorithm (1) fixed point iteration (1) gaussian mixture (1) spectral preconditioning (1) kernel machine (1)

Papers

Euclidean distance compression via deep random features NIPS 2024
On the NystrΓΆm Approximation for Preconditioning in Kernel Machines AISTATS 2024
Basis Learning as an Algorithmic Primitive COLT 2016
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA NIPS 2015
The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014
Blind Signal Separation in the Presence of Gaussian Noise COLT 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NIPS 2013
Efficient Learning of Simplices COLT 2013