Search results for "Alexander J. Smola"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Yutian Chen, Max Welling, Alex J. Smola	Super-Samples from Kernel Herding	CoRR	2012	DBLP BibTeX RDF
1	Nando de Freitas, Alex J. Smola, Masrour Zoghi	Regret Bounds for Deterministic Gaussian Process Bandits	CoRR	2012	DBLP BibTeX RDF
1	Amr Ahmed, Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smola	Fair and balanced: learning to present news stories.	WSDM	2012	DBLP DOI BibTeX RDF
1	Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola	A Kernel Two-Sample Test.	Journal of Machine Learning Research	2012	DBLP BibTeX RDF
1	Liangjie Hong, Amr Ahmed, Siva Gurumurthy, Alexander J. Smola, Kostas Tsioutsiouliklis	Discovering geographical topics in the twitter stream.	WWW	2012	DBLP DOI BibTeX RDF
1	Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan Narayanamurthy, Alexander J. Smola	Scalable inference in latent variable models.	WSDM	2012	DBLP DOI BibTeX RDF
1	Qinfeng Shi, Li Cheng, Li Wang, Alex J. Smola	Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models.	International Journal of Computer Vision	2011	DBLP DOI BibTeX RDF
1	Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josifovski, George Mavromatis, Alex J. Smola	Bid generation for advanced match in sponsored search.	WSDM	2011	DBLP DOI BibTeX RDF
1	Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing	Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Deepak Agarwal, Lihong Li, Alexander J. Smola	Linear-Time Estimators for Propensity Scores.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Süreyya Özögür-Akyüz, Devrim Ünay, Alexander J. Smola	Guest editorial: model selection and optimization in machine learning.	Machine Learning	2011	DBLP DOI BibTeX RDF
1	Daniel Hsu, Nikos Karampatziakis, John Langford, Alexander J. Smola	Parallel Online Learning	CoRR	2011	DBLP BibTeX RDF
1	Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo	Unified analysis of streaming news.	WWW	2011	DBLP DOI BibTeX RDF
1	Amr Ahmed, Alexander J. Smola	WWW 2011 invited tutorial overview: latent variable models on the internet.	WWW (Companion Volume)	2011	DBLP DOI BibTeX RDF
1	Shuang-Hong Yang, Bo Long, Alexander J. Smola, Narayanan Sadagopan, Zhaohui Zheng, Hongyuan Zha	Like like alike: joint friendship and interest propagation in social networks.	WWW	2011	DBLP DOI BibTeX RDF
1	Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hongyuan Zha, Zhaohui Zheng	Collaborative competitive filtering: learning recommender using context of user choice.	SIGIR	2011	DBLP DOI BibTeX RDF
1	Srinivas Vadrevu, Choon Hui Teo, Suju Rajan, Kunal Punera, Byron Dom, Alexander J. Smola, Yi Chang, Zhaohui Zheng	Scalable clustering of news search results.	WSDM	2011	DBLP DOI BibTeX RDF
1	Yucheng Low, Deepak Agarwal, Alexander J. Smola	Multiple domain user personalization.	KDD	2011	DBLP DOI BibTeX RDF
1	Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, Alexander J. Smola	Scalable distributed inference of dynamic user interests for behavioral targeting.	KDD	2011	DBLP DOI BibTeX RDF
1	Novi Quadrianto, Alex J. Smola, Le Song, Tinne Tuytelaars	Kernelized Sorting.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	object alignment, Hilbert-Schmidt Independence Criterion, matching, Sorting, kernels
1	Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smola, Quoc V. Le	Bundle Methods for Regularized Risk Minimization.	Journal of Machine Learning Research	2010	DBLP DOI BibTeX RDF
1	Novi Quadrianto, Dale Schuurmans, Alex J. Smola	Distributed Flow Algorithms for Scalable Similarity Visualization.	ICDM Workshops	2010	DBLP DOI BibTeX RDF
1	Yutian Chen, Max Welling, Alex J. Smola	Super-Samples from Kernel Herding.	UAI	2010	DBLP BibTeX RDF
1	Taesup Moon, Alex J. Smola, Yi Chang, Zhaohui Zheng	IntervalRank: isotonic regression with listwise and pairwise constraints.	WSDM	2010	DBLP DOI BibTeX RDF	listwise constraints, learning to rank, isotonic regression, pairwise constraints
1	Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt	Discriminative frequent subgraph mining with optimality guarantees.	Statistical Analysis and Data Mining	2010	DBLP DOI BibTeX RDF
1	O. Thomas, Peter Sunehag, Gideon Dror, S. Yun, S. Kim, Matthew W. Robards, Alexander J. Smola, D. Green, P. Saunders	Wearable sensor activity analysis using semi-Markov models with a grammar.	Pervasive and Mobile Computing	2010	DBLP DOI BibTeX RDF
1	Alexandros Karatzoglou, Alexander J. Smola, Markus Weimer	Collaborative Filtering on a Budget.	Journal of Machine Learning Research - Proceedings Track	2010	DBLP BibTeX RDF
1	Alexander J. Smola, Shravan Narayanamurthy	An Architecture for Parallel Topic Models.	PVLDB	2010	DBLP BibTeX RDF
1	Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola	Hilbert Space Embeddings of Hidden Markov Models.	ICML	2010	DBLP BibTeX RDF
1	Gilbert Leung, Novi Quadrianto, Alexander J. Smola, Kostas Tsioutsiouliklis	Optimal Web-Scale Tiering as a Flow Problem.	NIPS	2010	DBLP BibTeX RDF
1	Martin Zinkevich, Markus Weimer, Alexander J. Smola, Lihong Li	Parallelized Stochastic Gradient Descent.	NIPS	2010	DBLP BibTeX RDF
1	James Petterson, Alexander J. Smola, Tibério S. Caetano, Wray L. Buntine, Shravan Narayanamurthy	Word Features for Latent Dirichlet Allocation.	NIPS	2010	DBLP BibTeX RDF
1	Novi Quadrianto, Alexander J. Smola, Tibério S. Caetano, S. V. N. Vishwanathan, James Petterson	Multitask Learning without Label Correspondences.	NIPS	2010	DBLP BibTeX RDF
1	Novi Quadrianto, Alex J. Smola, Tibério S. Caetano, Quoc V. Le	Estimating Labels from Label Proportions.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Kilian Q. Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alex J. Smola	Feature Hashing for Large Scale Multitask Learning	CoRR	2009	DBLP BibTeX RDF
1	Novi Quadrianto, James Petterson, Alex J. Smola	Distribution Matching for Transduction.	NIPS	2009	DBLP BibTeX RDF
1	Martin Zinkevich, Alex J. Smola, John Langford	Slow Learners are Fast.	NIPS	2009	DBLP BibTeX RDF
1	Tibério S. Caetano, Julian John McAuley, Li Cheng, Quoc V. Le, Alexander J. Smola	Learning Graph Matching.	IEEE Trans. Pattern Anal. Mach. Intell.	2009	DBLP DOI BibTeX RDF
1	Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, Alexander L. Strehl, Vishy Vishwanathan	Hash Kernels.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Alexander J. Smola, Le Song, Choon Hui Teo	Relative Novelty Detection.	Journal of Machine Learning Research - Proceedings Track	2009	DBLP BibTeX RDF
1	Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alexander J. Smola, S. V. N. Vishwanathan	Hash Kernels for Structured Data.	Journal of Machine Learning Research	2009	DBLP DOI BibTeX RDF
1	Marisa Thoma, Hong Cheng, Arthur Gretton, Jiawei Han, Hans-Peter Kriegel, Alexander J. Smola, Le Song, Philip S. Yu, Xifeng Yan, Karsten M. Borgwardt	Near-optimal Supervised Feature Selection among Frequent Subgraphs.	SDM	2009	DBLP BibTeX RDF
1	Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg	Feature hashing for large scale multitask learning.	ICML	2009	DBLP DOI BibTeX RDF
1	Le Song, Jonathan Huang, Alexander J. Smola, Kenji Fukumizu	Hilbert space embeddings of conditional distributions with applications to dynamical systems.	ICML	2009	DBLP DOI BibTeX RDF
1	Markus Weimer, Alexandros Karatzoglou, Alex J. Smola	Improving maximum margin matrix factorization.	Machine Learning	2008	DBLP DOI BibTeX RDF	Recommender systems, Collaborative filtering, Structured estimation
1	Tibério S. Caetano, Julian John McAuley, Li Cheng, Quoc V. Le, Alex J. Smola	Learning Graph Matching	CoRR	2008	DBLP BibTeX RDF
1	Markus Weimer, Alexandros Karatzoglou, Alex J. Smola	Improving Maximum Margin Matrix Factorization.	ECML/PKDD	2008	DBLP DOI BibTeX RDF
1	Ahmed H. El Zein, Eric McCreath, Alistair P. Rendell, Alex J. Smola	Performance Evaluation of the NVIDIA GeForce 8800 GTX GPU for Machine Learning.	ICCS	2008	DBLP DOI BibTeX RDF
1	Markus Weimer, Alexandros Karatzoglou, Alex J. Smola	Adaptive collaborative filtering.	RecSys	2008	DBLP DOI BibTeX RDF	collaborative filtering, structured estimation
1	Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf	Tailoring density estimation via reproducing kernel moment matching.	ICML	2008	DBLP DOI BibTeX RDF
1	Novi Quadrianto, Alex J. Smola, Tibério S. Caetano, Quoc V. Le	Estimating labels from label proportions.	ICML	2008	DBLP DOI BibTeX RDF
1	Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smola	Kernel Measures of Independence for non-iid Data.	NIPS	2008	DBLP BibTeX RDF
1	Novi Quadrianto, Le Song, Alex J. Smola	Kernelized Sorting.	NIPS	2008	DBLP BibTeX RDF
1	Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola	A Kernel Method for the Two-Sample Problem	CoRR	2008	DBLP BibTeX RDF
1	Julian John McAuley, Tibério S. Caetano, Alexander J. Smola	Robust Near-Isometric Matching via Structured Learning of Graphical Models	CoRR	2008	DBLP BibTeX RDF
1	Qinfeng Shi, Li Wang, Li Cheng, Alexander J. Smola	Discriminative human action segmentation and recognition using semi-Markov model.	CVPR	2008	DBLP DOI BibTeX RDF
1	Julian John McAuley, Tibério S. Caetano, Alexander J. Smola	Robust Near-Isometric Matching via Structured Learning of Graphical Models.	NIPS	2008	DBLP BibTeX RDF
1	Olivier Chapelle, Chuong B. Do, Quoc V. Le, Alexander J. Smola, Choon Hui Teo	Tighter Bounds for Structured Estimation.	NIPS	2008	DBLP BibTeX RDF
1	Qinfeng Shi, Yasemin Altun, Alex J. Smola, S. V. N. Vishwanathan	Semi-Markov Models for Sequence Segmentation.	EMNLP-CoNLL	2007	DBLP BibTeX RDF
1	Tibério S. Caetano, Li Cheng, Quoc V. Le, Alex J. Smola	Learning Graph Matching.	ICCV	2007	DBLP DOI BibTeX RDF
1	Le Song, Alex J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo	Supervised feature selection via dependence estimation.	ICML	2007	DBLP DOI BibTeX RDF
1	Alex J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf	A Hilbert Space Embedding for Distributions.	ALT	2007	DBLP DOI BibTeX RDF
1	Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le	Bundle Methods for Machine Learning.	NIPS	2007	DBLP BibTeX RDF
1	Le Song, Alex J. Smola, Karsten M. Borgwardt, Arthur Gretton	Colored Maximum Variance Unfolding.	NIPS	2007	DBLP BibTeX RDF
1	Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex J. Smola	Convex Learning with Invariances.	NIPS	2007	DBLP BibTeX RDF
1	Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola	A Kernel Statistical Test of Independence.	NIPS	2007	DBLP BibTeX RDF
1	Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alex J. Smola	COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking .	NIPS	2007	DBLP BibTeX RDF
1	Alex J. Smola	Learning Graph Matching.	MLG	2007	DBLP BibTeX RDF
1	Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanathan, Quoc V. Le	A scalable modular convex solver for regularized risk minimization.	KDD	2007	DBLP DOI BibTeX RDF	optimization, algorithms, convexity
1	Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson	The Need for Open Source Software in Machine Learning.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Justin Bedo	Supervised Feature Selection via Dependence Estimation	CoRR	2007	DBLP BibTeX RDF
1	Quoc V. Le, Alexander J. Smola	Direct Optimization of Ranking Measures	CoRR	2007	DBLP BibTeX RDF
1	S. V. N. Vishwanathan, Alexander J. Smola, René Vidal	Binet-Cauchy Kernels on Dynamical Systems and its Application to the Analysis of Dynamic Scenes.	International Journal of Computer Vision	2007	DBLP DOI BibTeX RDF	Binet-Cauchy theorem, ARMA models and dynamical systems, sylvester equation, kernel methods, dynamic scenes, dynamic textures, reproducing kernel Hilbert spaces
1	Le Song, Justin Bedo, Karsten M. Borgwardt, Arthur Gretton, Alexander J. Smola	Gene selection via the BAHSIC family of algorithms.	ISMB/ECCB (Supplement of Bioinformatics)	2007	DBLP DOI BibTeX RDF
1	Le Song, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt	A dependence maximization view of clustering.	ICML	2007	DBLP DOI BibTeX RDF
1	Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola	A Kernel Approach to Comparing Distributions.	AAAI	2007	DBLP BibTeX RDF
1	Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf	A Hilbert Space Embedding for Distributions.	Discovery Science	2007	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola	Step Size Adaptation in Reproducing Kernel Hilbert Space.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Julian John McAuley, Tibério S. Caetano, Alex J. Smola, Matthias O. Franz	Learning high-order MRF priors of color images.	ICML	2006	DBLP DOI BibTeX RDF
1	Quoc V. Le, Alex J. Smola, Thomas Gärtner	Simpler knowledge-based support vector machines.	ICML	2006	DBLP DOI BibTeX RDF
1	Pannagadatta K. Shivaswamy, Chiranjib Bhattacharyya, Alexander J. Smola	Second Order Cone Programming Approaches for Handling Missing and Uncertain Data.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Ichiro Takeuchi, Quoc V. Le, Tim D. Sears, Alexander J. Smola	Nonparametric Quantile Estimation.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Stéphane Canu, Alexander J. Smola	Kernel methods and the exponential family.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri Guttman, Alexander J. Smola	Kernel extrapolation.	Neurocomputing	2006	DBLP DOI BibTeX RDF
1	Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun	Transductive Gaussian Process Regression with Automatic Model Selection.	ECML	2006	DBLP DOI BibTeX RDF
1	Hao Shen, Knut Hüper, Alexander J. Smola	Newton-Like Methods for Nonparametric Independent Component Analysis.	ICONIP	2006	DBLP DOI BibTeX RDF
1	Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola	Integrating structured biological data by Kernel Maximum Mean Discrepancy.	ISMB (Supplement of Bioinformatics)	2006	DBLP DOI BibTeX RDF
1	Yasemin Altun, Alexander J. Smola	Unifying Divergence Minimization and Statistical Inference Via Convex Duality.	COLT	2006	DBLP DOI BibTeX RDF
1	Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola	A Kernel Method for the Two-Sample-Problem.	NIPS	2006	DBLP BibTeX RDF
1	Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf	Correcting Sample Selection Bias by Unlabeled Data.	NIPS	2006	DBLP BibTeX RDF
1	Athanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola	Experimentally optimal nu in support vector regression for different noise models and parameter settings.	Neural Networks	2005	DBLP DOI BibTeX RDF
1	Arthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf	Measuring Statistical Dependence with Hilbert-Schmidt Norms.	ALT	2005	DBLP DOI BibTeX RDF
1	Vladimir Nikulin, Alex J. Smola	Universal Clustering with Regularization in Probabilistic Space.	MLDM	2005	DBLP DOI BibTeX RDF
1	Thomas Gärtner, Quoc V. Le, Simon Burton, Alex J. Smola, S. V. N. Vishwanathan	Large-Scale Multiclass Transduction.	NIPS	2005	DBLP BibTeX RDF
1	Cheng Soon Ong, Alexander J. Smola, Robert C. Williamson	Learning the Kernel with Hyperkernels.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf	Kernel Methods for Measuring Independence.	Journal of Machine Learning Research	2005	DBLP BibTeX RDF
1	Gaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay	Boîte à outils SVM simple et rapide.	Revue d'Intelligence Artificielle	2005	DBLP BibTeX RDF
1	Karsten M. Borgwardt, Omri Guttman, S. V. N. Vishwanathan, Alexander J. Smola	Joint Regularization.	ESANN	2005	DBLP BibTeX RDF
1	Stéphane Canu, Alexander J. Smola	Kernel methods and the exponential family.	ESANN	2005	DBLP BibTeX RDF
1	Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schönauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel	Protein function prediction via graph kernels.	ISMB (Supplement of Bioinformatics)	2005	DBLP DOI BibTeX RDF

Publications of Alexander J. Smola Alex J. Smola ( http://dblp.L3S.de/Authors/Alexander_J._Smola )