← Authors

Alex J. Smola

23 papers · 2006–2021 · 3 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (3) πŸƒ Academic Marathon (15) πŸ—ΊοΈ Taxonomy Completionist (37) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (8) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (15) 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (116) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (5)

Conferences

NIPS (19) JMLR (3) AAAI (1)

Top co-authors

Quoc V. Le (5) Novi Quadrianto (5) Le Song (5) Arthur Gretton (5) TibΓ©rio S. Caetano (4) James Petterson (3) Quoc V Le (3) Bernhard SchΓΆlkopf (3) Karsten Borgwardt (3) Choon H. Teo (3)

Research topics

Optimization (1) Statistics (1)

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