Guillaume Obozinski

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 19

Top Topics

Temporal Knowledge

Latent Variables

Integer Programming

Tensor Decomposition

Top Venues

SIAM J. Imaging Sci.

Publications

Nathanaël Perraudin, Adrien Teutrie, Cécile Hébert, Guillaume Obozinski
Efficient algorithms for regularized Poisson Non-negative Matrix Factorization. CoRR (2024)
Paola Malsot, Filipe Martins, Didier Trono, Guillaume Obozinski
Optirank: classification for RNA-Seq data with optimal ranking reference genes. CoRR (2023)
Stefania Russo, Nathanaël Perraudin, Steven Stalder, Fernando Pérez-Cruz, João Paulo Leitão, Guillaume Obozinski, Jan Dirk Wegner
An evaluation of deep learning models for predicting water depth evolution in urban floods. CoRR (2023)
Enikö Székely, Sebastian Sippel, Nicolai Meinshausen, Guillaume Obozinski, Reto Knutti
Robust detection and attribution of climate change under interventions. CoRR (2022)
Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. ICLR (2020)
Shell Xu Hu, Pablo Garcia Moreno, Yang Xiao, Xi Shen, Guillaume Obozinski, Neil D. Lawrence, Andreas C. Damianou
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients. CoRR (2020)
Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
Tensor Decompositions for Temporal Knowledge Base Completion. ICLR (2020)
Timothée Lacroix, Guillaume Obozinski, Nicolas Usunier
Tensor Decompositions for temporal knowledge base completion. CoRR (2020)
Axel Parmentier, Victor Cohen, Vincent Leclère, Guillaume Obozinski, Joseph Salmon
Integer Programming on the Junction Tree Polytope for Influence Diagrams. INFORMS J. Optim. 2 (3) (2020)
Benjamin Dubois, Jean-François Delmas, Guillaume Obozinski
Fast Algorithms for Sparse Reduced-Rank Regression. AISTATS (2019)
Xu Hu, Guillaume Obozinski
SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning. AISTATS (2018)
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
Canonical Tensor Decomposition for Knowledge Base Completion. ICML (2018)
Marina Vinyes, Guillaume Obozinski
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables. CoRR (2018)
Timothée Lacroix, Nicolas Usunier, Guillaume Obozinski
Canonical Tensor Decomposition for Knowledge Base Completion. CoRR (2018)
Loïc Landrieu, Guillaume Obozinski
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions on General Weighted Graphs. SIAM J. Imaging Sci. 10 (4) (2017)
Marina Vinyes, Guillaume Obozinski
Fast column generation for atomic norm regularization. AISTATS (2017)
Loïc Landrieu, Guillaume Obozinski
Cut Pursuit: Fast Algorithms to Learn Piecewise Constant Functions. AISTATS (2016)
Petr Gronát, Josef Sivic, Guillaume Obozinski, Tomás Pajdla
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. Int. J. Comput. Vis. 118 (3) (2016)
Mateusz Kozinski, Raghudeep Gadde, Sergey Zagoruyko, Guillaume Obozinski, Renaud Marlet
A MRF shape prior for facade parsing with occlusions. CVPR (2015)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
A Markovian approach to distributional semantics with application to semantic compositionality. COLING (2014)
Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
Tight convex relaxations for sparse matrix factorization. NIPS (2014)
Loïc Landrieu, Guillaume Obozinski
Continuously indexed Potts models on unoriented graphs. UAI (2014)
Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
Tight convex relaxations for sparse matrix factorization. CoRR (2014)
Mateusz Kozinski, Guillaume Obozinski, Renaud Marlet
Beyond Procedural Facade Parsing: Bidirectional Alignment via Linear Programming. ACCV (4) (2014)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Domain adaptation for sequence labeling using hidden Markov models. CoRR (2013)
Petr Gronát, Guillaume Obozinski, Josef Sivic, Tomás Pajdla
Learning and Calibrating Per-Location Classifiers for Visual Place Recognition. CVPR (2013)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Hidden Markov tree models for semantic class induction. CoNLL (2013)
Rodolphe Jenatton, Nicolas Le Roux, Antoine Bordes, Guillaume Obozinski
A latent factor model for highly multi-relational data. NIPS (2012)
Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski
On the Equivalence between Herding and Conditional Gradient Algorithms. ICML (2012)
Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski
On the Equivalence between Herding and Conditional Gradient Algorithms CoRR (2012)
Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Evelyn Eger, Francis R. Bach, Bertrand Thirion
Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity. SIAM J. Imaging Sci. 5 (3) (2012)
Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
Optimization with Sparsity-Inducing Penalties. Found. Trends Mach. Learn. 4 (1) (2012)
Guillaume Obozinski, Francis R. Bach
Convex Relaxation for Combinatorial Penalties CoRR (2012)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Trace Lasso: a trace norm regularization for correlated designs. NIPS (2011)
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
Convex and Network Flow Optimization for Structured Sparsity CoRR (2011)
Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
Structured sparsity through convex optimization CoRR (2011)
Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert
Group Lasso with Overlaps: the Latent Group Lasso approach CoRR (2011)
Edouard Grave, Guillaume Obozinski, Francis R. Bach
Trace Lasso: a trace norm regularization for correlated designs CoRR (2011)
Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Francis R. Bach, Bertrand Thirion
Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. PRNI (2011)
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
Convex and Network Flow Optimization for Structured Sparsity. J. Mach. Learn. Res. 12 (2011)
Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
Proximal Methods for Hierarchical Sparse Coding. J. Mach. Learn. Res. 12 (2011)
Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
Optimization with Sparsity-Inducing Penalties CoRR (2011)
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
Learning Hierarchical and Topographic Dictionaries with Structured Sparsity CoRR (2011)
Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
Proximal Methods for Sparse Hierarchical Dictionary Learning. ICML (2010)
Guillaume Obozinski, Ben Taskar, Michael I. Jordan
Joint covariate selection and joint subspace selection for multiple classification problems. Stat. Comput. 20 (2) (2010)
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
Network Flow Algorithms for Structured Sparsity CoRR (2010)
Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
Network Flow Algorithms for Structured Sparsity. NIPS (2010)
Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
Structured Sparse Principal Component Analysis. AISTATS (2010)
Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert
Group lasso with overlap and graph lasso. ICML (2009)
Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan
High-dimensional support union recovery in multivariate regression. NIPS (2008)
Guillaume Obozinski, Martin J. Wainwright, Michael I. Jordan
Union support recovery in high-dimensional multivariate regression. Allerton (2008)
Julien Lefèvre, Guillaume Obozinski, Sylvain Baillet
Imaging Brain Activation Streams from Optical Flow Computation on 2-Riemannian Manifolds. IPMI (2007)