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List of works by Alexander J. Smola

A Generalized Representer Theorem

A Kernel Method for the Two-Sample-Problem

scientific article published in January 2007

A Kernel Statistical Test of Independence

scientific article published in January 2008

A Second Order Cone programming Formulation for Classifying Missing Data

scientific article published in January 2005

A dependence maximization view of clustering

A tutorial on support vector regression

scientific article published in August 2004

Adapting Codes and Embeddings for Polychotomies

scientific article published in January 2003

Automatic Chain of Thought Prompting in Large Language Models

Bayesian Kernel Methods

Binet-Cauchy Kernels

Bundle Methods for Machine Learning

scientific article published in January 2008

COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking

scientific article published in January 2008

CoBaFi: collaborative bayesian filtering

Colored Maximum Variance Unfolding

scientific article published in January 2008

Communication Efficient Distributed Machine Learning with the Parameter Server

scientific article published in January 2014

Convex Learning with Invariances

scientific article published in January 2008

Correcting Sample Selection Bias by Unlabeled Data

scientific article published in January 2007

Covariate Shift by Kernel Mean Matching

Deep Sets

Discriminative frequent subgraph mining with optimality guarantees

article

Distribution Matching for Transduction

scientific article published in January 2009

Experimentally optimal nu in support vector regression for different noise models and parameter settings

scientific article published in January 2004

Fast Kernels for String and Tree Matching

scientific article published in January 2003

Fast and Guaranteed Tensor Decomposition via Sketching

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation

FastEx: Hash Clustering with Exponential Families

scientific article published in January 2012

Feature Hashing for Large Scale Multitask Learning

scientific article published on 27 February 2010

From Regularization Operators to Support Vector Kernels

Gene selection via the BAHSIC family of algorithms

scientific article published in July 2007

Hyperkernels

scientific article published in January 2003

Integrating structured biological data by Kernel Maximum Mean Discrepancy

scientific article

Invariant Feature Extraction and Classification in Kernel Spaces

Kernel Machines and Boolean Functions

Kernel Measures of Independence for non-iid Data

Kernel PCA Pattern Reconstruction via Approximate Pre-Images

Kernel PCA and De-Noising in Feature Spaces

scientific article published in January 1999

Kernel extrapolation

Kernel methods in machine learning

scientific article published in 2008

Kernelized Sorting

Kernelized sorting

scientific article

Kernels and Regularization on Graphs

Laplace Propagation

scientific article published in January 2004

Large-Scale Multiclass Transduction

scientific article published in January 2006

Learning Networks of Heterogeneous Influence

scientific article published in January 2012

Learning graph matching

scientific article published in June 2009

Learning with kernels: support vector machines, regularization, optimization, and beyond

book published in 2002

Multitask Learning without Label Correspondences

Near-optimal supervised feature selection among frequent subgraphs

article

Nonlinear Component Analysis as a Kernel Eigenvalue Problem

scientific article (publication date: July 1998)

On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants

Online Learning with Kernels

Optimal Web-Scale Tiering as a Flow Problem

scientific article published in January 2010

Parallelized Stochastic Gradient Descent

Prior Knowledge in Support Vector Kernels

Protein function prediction via graph kernels

scientific article published in June 2005

Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization

scientific article published in January 2016

Regularization with Dot-Product Kernels

Robust Near-Isometric Matching via Structured Learning of Graphical Models

Semiparametric Support Vector and Linear Programming Machines

Shrinking the Tube: A New Support Vector Regression Algorithm

Simpler knowledge-based support vector machines

Slow Learners are Fast

Sparse Greedy Gaussian Process Regression

Spectral Methods for Indian Buffet Process Inference

scientific article published in January 2014

Supervised feature selection via dependence estimation

Support Vector Method for Function Approximation, Regression Estimation and Signal Processing

scientific article published in January 1997

Support Vector Method for Novelty Detection

scientific article published in January 2000

Support Vector Regression Machines

scientific article published in January 1997

The Entropy Regularization Information Criterion

The connection between regularization operators and support vector kernels.

scientific article published in June 1998

Tighter Bounds for Structured Estimation

Transductive Gaussian Process Regression with Automatic Model Selection

Transformer on a Diet

scientific article published on 14 February 2020

Variance Reduction for Stochastic Gradient Optimization

Variance Reduction in Stochastic Gradient Langevin Dynamics.

scientific article published on December 2016

Word Features for Latent Dirichlet Allocation

kernlab- AnS4Package for Kernel Methods inR

v-Arc: Ensemble Learning in the Presence of Outliers