Alex J. Smola
23 papers · 2006–2021 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (82) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(18)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
⚡
Prolific Year · Productive
🌈
Renaissance Researcher
(7)
🗃️
Keyword Collector
(168)
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(23)
Core Methods
(19)
Optimization & Theory
(15)
Learning Types · Machine Learning
(14)
Mathematics & Optimization
(11)
Artificial Intelligence
(8)
Optimization
(7)
Deep Learning
(6)
Mathematics
(5)
Data Science & Analytics
(3)
Applications
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Keywords
kernel methods
(7)
convex optimization
(5)
support vector machine
(5)
structured prediction
(4)
graphical model
(3)
hilbert-schmidt independence criterion
(3)
reproducing kernel hilbert space
(3)
distribution matching
(3)
stochastic gradient descent
(3)
bundle method
(2)
semi-supervised learning
(2)
statistical test
(2)
regularized risk minimization
(2)
two-sample test
(2)
online learning
(2)
convergence analysis
(2)
statistical testing
(2)
statistical independence
(2)
independent component analysis
(1)
multi-task learning
(1)
Papers
Symbolic Music Generation with Transformer-GANs
AAAI 2021
FastEx: Hash Clustering with Exponential Families
NeurIPS 2012
Learning Networks of Heterogeneous Influence
NeurIPS 2012
Bundle Methods for Regularized Risk Minimization
JMLR 2010
Multitask Learning without Label Correspondences
NeurIPS 2010
Optimal Web-Scale Tiering as a Flow Problem
NeurIPS 2010
Parallelized Stochastic Gradient Descent
NeurIPS 2010
Word Features for Latent Dirichlet Allocation
NeurIPS 2010
Distribution Matching for Transduction
NeurIPS 2009
Estimating Labels from Label Proportions
JMLR 2009
Slow Learners are Fast
NeurIPS 2009
Kernelized Sorting
NeurIPS 2008
Kernel Measures of Independence for non-iid Data
NeurIPS 2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models
NeurIPS 2008
Tighter Bounds for Structured Estimation
NeurIPS 2008
A Kernel Statistical Test of Independence
NeurIPS 2007
Bundle Methods for Machine Learning
NeurIPS 2007
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
NeurIPS 2007
Colored Maximum Variance Unfolding
NeurIPS 2007
Convex Learning with Invariances
NeurIPS 2007
A Kernel Method for the Two-Sample-Problem
NeurIPS 2006
Correcting Sample Selection Bias by Unlabeled Data
NeurIPS 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space
JMLR 2006