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All publications by Alex J. Smola
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Fast and Guaranteed Tensor Decomposition via Sketching
Yining Wang, Hsiao-yu Tung, Alex J. Smola and Anima Anandkumar
Advances in Neural Information Processing Systems 28, 2015


On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants
Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos and Alex J. Smola
Advances in Neural Information Processing Systems 28, 2015


Communication Efficient Distributed Machine Learning with the Parameter Server
Mu Li, David G. Andersen, Alex J. Smola and Kai Yu
Advances in Neural Information Processing Systems 27, 2014


Spectral Methods for Indian Buffet Process Inference
Hsiao-yu Tung and Alex J. Smola
Advances in Neural Information Processing Systems 27, 2014


FastEx: Hash Clustering with Exponential Families
Amr Ahmed, Sujith Ravi, Alex J. Smola and Shravan M. Narayanamurthy
Advances in Neural Information Processing Systems 25, 2012


Learning Networks of Heterogeneous Influence
Nan Du, Le Song, Ming Yuan and Alex J. Smola
Advances in Neural Information Processing Systems 25, 2012


Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Nando D. Freitas, Masrour Zoghi and Alex J. Smola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon H. Teo, Jacob Eisenstein, Eric P. Xing and Alex J. Smola
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li and Alex J. Smola
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


Hilbert Space Embeddings of Hidden Markov Models
Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon and Alex J. Smola
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Parallelized Stochastic Gradient Descent
Martin Zinkevich, Markus Weimer, Lihong Li and Alex J. Smola
Advances in Neural Information Processing Systems 23, 2010


Multitask Learning without Label Correspondences
Novi Quadrianto, James Petterson, Tibério S. Caetano, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 23, 2010


Optimal Web-Scale Tiering as a Flow Problem
Gilbert Leung, Novi Quadrianto, Kostas Tsioutsiouliklis and Alex J. Smola
Advances in Neural Information Processing Systems 23, 2010


Word Features for Latent Dirichlet Allocation
James Petterson, Wray Buntine, Shravan M. Narayanamurthy, Tibério S. Caetano and Alex J. Smola
Advances in Neural Information Processing Systems 23, 2010


Collaborative Filtering on a Budget
Alexandros Karatzoglou, Markus Weimer and Alex J. Smola
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Hash Kernels for Structured Data
Qinfeng Shi, James Petterson, Gideon Dror, John Langford, S. Vishwanathan and Alex J. Smola
Journal of Machine Learning Research, 2009


Estimating Labels from Label Proportions
Novi Quadrianto, Alex J. Smola, Tibério S. Caetano and Quoc V. Le
Journal of Machine Learning Research, 2009


Feature hashing for large scale multitask learning
Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Josh Attenberg and Alex J. Smola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Hilbert space embeddings of conditional distributions with applications to dynamical systems
Le Song, Jonathan Huang, Kenji Fukumizu and Alex J. Smola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Slow Learners are Fast
Martin Zinkevich, John Langford and Alex J. Smola
Advances in Neural Information Processing Systems 22, 2009


Distribution Matching for Transduction
Novi Quadrianto, James Petterson and Alex J. Smola
Advances in Neural Information Processing Systems 22, 2009


Hash Kernels
Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander L. Strehl, Alex J. Smola and S.v.n. Vishwanathan
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Relative Novelty Detection
Le Song, Choon H. Teo and Alex J. Smola
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Tailoring density estimation via reproducing kernel moment matching
Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton and Bernhard Schölkopf
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Estimating labels from label proportions
Novi Quadrianto, Alex J. Smola, Tibério S. Caetano and Quoc V. Le
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Kernel Measures of Independence for non-iid Data
Xinhua Zhang, Le Song, Arthur Gretton and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Tighter Bounds for Structured Estimation
Olivier Chapelle, Chuong B. Do, Choon H. Teo, Quoc V. Le and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Kernelized Sorting
Novi Quadrianto, Le Song and Alex J. Smola
Advances in Neural Information Processing Systems 21, 2008


Robust Near-Isometric Matching via Structured Learning of Graphical Models
Alex J. Smola, Julian J. Mcauley and Tibério S. Caetano
Advances in Neural Information Processing Systems 21, 2008


Supervised feature selection via dependence estimation
Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt and Justin Bedo
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


A dependence maximization view of clustering
Le Song, Arthur Gretton, Karsten M. Borgwardt and Alex J. Smola
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


The Need for Open Source Software in Machine Learning
Sören Sonnenburg, Mikio L. Braun, Cheng S. Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann Lecun, Klaus-robert Müller, Fernando Pereira, Carl E. Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Pascal Vincent, Jason Weston, Robert C. Williamson and Alex J. Smola
Journal of Machine Learning Research, 2007


A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo, Le Song, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
Markus Weimer, Alexandros Karatzoglou, Quoc V. Le and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Colored Maximum Variance Unfolding
Le Song, Arthur Gretton, Karsten M. Borgwardt and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Bundle Methods for Machine Learning
Quoc V. Le, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 20, 2007


Convex Learning with Invariances
Choon H. Teo, Amir Globerson, Sam T. Roweis and Alex J. Smola
Advances in Neural Information Processing Systems 20, 2007


Learning high-order MRF priors of color images
Julian J. Mcauley, Tibério S. Caetano, Alex J. Smola and Matthias O. Franz
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Simpler knowledge-based support vector machines
Quoc V. Le, Alex J. Smola and Thomas Gärtner
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Step Size Adaptation in Reproducing Kernel Hilbert Space
S. Vishwanathan, Nicol N. Schraudolph and Alex J. Smola
Journal of Machine Learning Research, 2006


Nonparametric Quantile Estimation
Ichiro Takeuchi, Quoc V. Le, Tim D. Sears and Alex J. Smola
Journal of Machine Learning Research, 2006


Second Order Cone Programming Approaches for Handling Missing and Uncertain Data
Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya and Alex J. Smola
Journal of Machine Learning Research, 2006


Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 19, 2006


A Kernel Method for the Two-Sample-Problem
Arthur Gretton, Karsten M. Borgwardt, Malte Rasch, Bernhard Schölkopf and Alex J. Smola
Advances in Neural Information Processing Systems 19, 2006


Heteroscedastic Gaussian process regression
Quoc V. Le, Stéphane Canu and Alex J. Smola
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Learning the Kernel with Hyperkernels
Cheng S. Ong, Robert C. Williamson and Alex J. Smola
Journal of Machine Learning Research, 2005


Kernel Methods for Measuring Independence
Arthur Gretton, Ralf Herbrich, Olivier Bousquet, Bernhard Schölkopf and Alex J. Smola
Journal of Machine Learning Research, 2005


Learning with non-positive kernels
Cheng S. Ong, Xavier Mary, Stéphane Canu and Alex J. Smola
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Gaussian process classification for segmenting and annotating sequences
Yasemin Altun, Thomas Hofmann and Alex J. Smola
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Binet-Cauchy Kernels
Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 17, 2004


A Second Order Cone programming Formulation for Classifying Missing Data
Chiranjib Bhattacharyya, Pannagadatta K. Shivaswamy and Alex J. Smola
Advances in Neural Information Processing Systems 17, 2004


SimpleSVM
Alex J. Smola, M. N. Murty and S.v.n. Vishwanathan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Machine Learning with Hyperkernels
Cheng S. Ong and Alex J. Smola
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Laplace Propagation
Eleazar Eskin, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 16, 2003


Hyperkernels
Cheng S. Ong, Robert C. Williamson and Alex J. Smola
Advances in Neural Information Processing Systems 15, 2002


Minimal Kernel Classifiers
Glenn Fung, Olvi L. Mangasarian and Alex J. Smola
Journal of Machine Learning Research, 2002


Fast Kernels for String and Tree Matching
Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 15, 2002


Adapting Codes and Embeddings for Polychotomies
Gunnar Rätsch, Sebastian Mika and Alex J. Smola
Advances in Neural Information Processing Systems 15, 2002


Kernel Machines and Boolean Functions
Adam Kowalczyk, Alex J. Smola and Robert C. Williamson
Advances in Neural Information Processing Systems 14, 2001


Online Learning with Kernels
Jyrki Kivinen, Alex J. Smola and Robert C. Williamson
Advances in Neural Information Processing Systems 14, 2001


Regularized Principal Manifolds
Alex J. Smola, Sebastian Mika, Bernhard Schölkopf and Robert C. Williamson
Journal of Machine Learning Research, 2001