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hal-00776030v1  Conference papers
Naomi SaphraJuho KannalaEsa RahtuMatthew Blaschko. Automatic verification of boundary annotations from mechanical turk
Women in Machine Learning Workshop, Dec 2012, Lake Tahoe, NV, United States
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hal-00842098v3  Conference papers
Wojciech ZarembaArthur GrettonMatthew Blaschko. B-tests: Low Variance Kernel Two-Sample Tests
Neural Information Processing Systems, Dec 2013, Lake Tahoe, United States
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hal-01151823v1  Conference papers
Jiaqian YuMatthew Blaschko. Learning Submodular Losses with the Lovász Hinge
International Conference on Machine Learning, Jul 2015, Lille, France
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hal-00738219v1  Conference papers
Alex FlintMatthew Blaschko. Perceptron Learning of SAT
Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States. pp.2780-2788
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hal-01165337v1  Conference papers
Matthew BlaschkoJiaqian Yu. Hardness Results for Structured Learning and Inference with Multiple Correct Outputs
Constructive Machine Learning Workshop at ICML, Jul 2015, Lille, France
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hal-01667777v1  Poster communications
Eugene BelilovskyMatthew BlaschkoJamie KirosRaquel UrtasunRichard Zemel. Joint Embeddings of Scene Graphs and Images
International Conference On Learning Representations - Workshop, 2017, Toulon, France
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hal-01299519v1  Conference papers
Jiaqian YuMatthew Blaschko. A Convex Surrogate Operator for General Non-Modular Loss Functions
The 19th International Conference on Artificial Intelligence and Statistics, May 2016, Cadiz, Spain
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hal-00855735v1  Conference papers
Esa RahtuJuho KannalaMatthew Blaschko. Learning a Category Independent Object Detection Cascade
International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.1052-1059, ⟨10.1109/ICCV.2011.6126351⟩
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hal-00855739v1  Conference papers
Andrea VedaldiMatthew BlaschkoAndrew Zisserman. Learning Equivariant Structured Output SVM Regressors
International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.959-966, ⟨10.1109/ICCV.2011.6126339⟩
hal-00960368v1  Journal articles
Matthew BlaschkoChristoph Lampert,. Guest Editorial: Special Issue on Structured Prediction and Inference
International Journal of Computer Vision, Springer Verlag, 2012, 99 (3), pp.257-258. ⟨10.1007/s11263-012-0530-y⟩
hal-01263194v1  Poster communications
Wacha BounliphoneArthur GrettonArthur TenenhausMatthew Blaschko. Kernel non-parametric tests of relative dependency
International conference of the ERCIM WG on computational and methodological statistics - CMStatistics 2015, Dec 2015, London, United Kingdom. Elsevier, ISBN 978-9963-2227-0-4, pp.165-166, CFE-CMSTATISTICS 2015
hal-01104413v1  Conference papers
Jiaqian YuMatthew Blaschko. Lovasz Hinge for Learning Submodular Losses
NIPS Workshop on Representation and Learning Methods for Complex Outputs, Dec 2014, Montreal, Canada
hal-01104411v1  Conference papers
Eugene BelilovskyAndreas ArgyriouMatthew Blaschko. Approximating Combined Discrete Total Variation and Correlated Sparsity With Convex Relaxations
NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning, Dec 2014, Montreal, Canada
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hal-01306491v4  Conference papers
Eugene BelilovskyKyle KastnerGaël VaroquauxMatthew Blaschko. Learning to Discover Sparse Graphical Models
International Conference on Machine Learning , Aug 2017, Sydney, Australia
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hal-01034903v1  Conference papers
Mahsa GhafarianzadehMatthew BlaschkoGabe Sibley. Unsupervised Spatio-Temporal Segmentation with Sparse Spectral Clustering
British Machine Vision Conference (BMVC), Sep 2014, Nottingham, United Kingdom
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hal-00784386v1  Conference papers
Katerina GkirtzouJean HonorioDimitris SamarasRita GoldsteinMatthew Blaschko. FMRI Analysis of Cocaine Addiction Using K-Support Sparsity
International Symposium on Biomedical Imaging, IEEE, Apr 2013, San Francisco, United States
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hal-00815374v1  Conference papers
Matthew BlaschkoJuho KannalaEsa Rahtu. Non Maximal Suppression in Cascaded Ranking Models
Scandanavian Conference on Image Analysis, Jun 2013, Espoo, Finland. pp.408-419, ⟨10.1007/978-3-642-38886-6_39⟩
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tel-01086088v1  Habilitation à diriger des recherches
Matthew Blaschko. Advances in Empirical Risk Minimization for Image Analysis and Pattern Recognition
Machine Learning [stat.ML]. ENS Cachan, 2014
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hal-00940262v1  Journal articles
Matthew Blaschko. Machine Learning for Neurological Disorders
Centraliens, Association des centraliens, 2014, pp.40-42
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hal-00803981v2  Conference papers
Wojciech ZarembaM. Pawan KumarAlexandre GramfortMatthew Blaschko. Learning from M/EEG data with variable brain activation delays
International Conference on Information Processing in Medical Imaging, Jun 2013, Asilomar, United States
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hal-01020943v1  Conference papers
Matthew BlaschkoArpit MittalEsa Rahtu. An O(n log n) Cutting Plane Algorithm for Structured Output Ranking
German Conference on Pattern Recognition, Sep 2014, Münster, Germany. ⟨10.1007/978-3-319-11752-2_11⟩
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hal-01024226v1  Conference papers
José Ignacio OrlandoMatthew Blaschko. Learning fully-connected CRFs for blood vessel segmentation in retinal images
Medical Image Computing and Computer Assisted Intervention (MICCAI), Sep 2014, Boston, United States. ⟨10.1007/978-3-319-10404-1_79⟩