Nicol N. Schraudolph
9 papers · 1999–2010 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🌟
Keyword Trendsetter Combo
(10)
🧭
Keyword Pioneer
📈
Trend Setter
🚀
Conference Pioneer
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(7)
Mathematics & Optimization
(6)
Optimization & Theory
(5)
Optimization
(4)
Mathematics
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Deep Learning
(2)
Architectures
(2)
Computer Science
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
reproducing kernel hilbert space
(3)
image denoising
(2)
gain adaptation
(2)
graph kernel
(2)
random walk
(2)
spectral clustering
(2)
stochastic optimization
(2)
stochastic meta-descent
(2)
kernel principal component analysis
(2)
kernel methods
(2)
bioinformatics
(1)
ising model
(1)
computational complexity
(1)
online learning
(1)
convergence acceleration
(1)
fast computation
(1)
random walk kernels
(1)
stochastic gradient descent
(1)
eigenvalue estimation
(1)
kernel pca
(1)
Papers
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
JMLR 2010
Graph Kernels
JMLR 2010
Efficient Exact Inference in Planar Ising Models
NeurIPS 2008
Fast Iterative Kernel Principal Component Analysis
JMLR 2007
Fast Computation of Graph Kernels
NeurIPS 2006
Fast Iterative Kernel PCA
NeurIPS 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space
JMLR 2006
Learning Precise Timing with LSTM Recurrent Networks
JMLR 2002
A Stochastic Quasi-Newton Method for Online Convex Optimization
AISTATS 1999