Luis Rademacher
8 papers · 2013–2024 · 3 conferences · across top CS/AI conferences
Achievements
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๐ฃ Hot Topic Early Bird ๐บ๏ธ Taxonomy Completionist (11) ๐ Renaissance Researcher (5) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer
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Conference Polyglot
(3)
๐
Academic Marathon
(11)
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Cross-Pollinator
(10)
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Keyword Champion
(2)
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Trend Setter
Conferences
COLT (4)
NIPS (3)
AISTATS (1)
Top co-authors
Research topics
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)
nystrรถm 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 Nystrรถm 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