Alex J. Smola
23 papers · 2006–2021 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (8) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (37) π£ Hot Topic Early Bird
π£
Hot Topic Early Bird
π
Renaissance Researcher
(8)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(15)
π±
Topic Pioneer
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(116)
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year
(5)
π
Century Club
(23)
π₯
Unstoppable
(5)
Conferences
NIPS (19)
JMLR (3)
AAAI (1)
Top co-authors
Research topics
Keywords
kernel methods
(7)
support vector machine
(5)
convex optimization
(5)
structured prediction
(3)
graphical model
(3)
reproducing kernel hilbert space
(3)
stochastic gradient descent
(3)
distribution matching
(3)
statistical test
(2)
hilbert schmidt independence criterion
(2)
bundle method
(2)
two-sample test
(2)
semi-supervised learning
(2)
regularized risk minimization
(2)
online learning
(2)
convergence analysis
(2)
statistical testing
(2)
statistical independence
(2)
hilbert-schmidt independence criterion
(2)
statistical modeling
(1)
Papers
Symbolic Music Generation with Transformer-GANs
AAAI 2021
Learning Networks of Heterogeneous Influence
NIPS 2012
FastEx: Hash Clustering with Exponential Families
NIPS 2012
Multitask Learning without Label Correspondences
NIPS 2010
Optimal Web-Scale Tiering as a Flow Problem
NIPS 2010
Parallelized Stochastic Gradient Descent
NIPS 2010
Bundle Methods for Regularized Risk Minimization
JMLR 2010
Word Features for Latent Dirichlet Allocation
NIPS 2010
Distribution Matching for Transduction
NIPS 2009
Slow Learners are Fast
NIPS 2009
Estimating Labels from Label Proportions
JMLR 2009
Tighter Bounds for Structured Estimation
NIPS 2008
Kernelized Sorting
NIPS 2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models
NIPS 2008
Kernel Measures of Independence for non-iid Data
NIPS 2008
Convex Learning with Invariances
NIPS 2007
Colored Maximum Variance Unfolding
NIPS 2007
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
NIPS 2007
A Kernel Statistical Test of Independence
NIPS 2007
Bundle Methods for Machine Learning
NIPS 2007
Step Size Adaptation in Reproducing Kernel Hilbert Space
JMLR 2006
Correcting Sample Selection Bias by Unlabeled Data
NIPS 2006
A Kernel Method for the Two-Sample-Problem
NIPS 2006