Luis Rademacher
8 papers · 2013–2024 · 3 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (20)
🏆
Keyword Champion
(2)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(7)
Core Methods
(7)
Optimization & Theory
(6)
Mathematics
(5)
Optimization
(4)
Learning Types
(2)
Probability
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Deep Learning
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Foundations
(1)
Keywords
independent component analysis
(6)
gaussian noise
(3)
tensor decomposition
(3)
gradient descent
(2)
dimensionality reduction
(2)
blind source separation
(2)
signal separation
(2)
parameter estimation
(1)
nearest neighbor search
(1)
distance estimation
(1)
basis learning
(1)
nyström 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)
Papers
Euclidean distance compression via deep random features
NeurIPS 2024
On the Nyström 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
NeurIPS 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
Efficient Learning of Simplices
COLT 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis
NeurIPS 2013