Luca Baldassarre

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All published works

Action	Title	Year	Authors
+ PDF Chat	Group-Sparse Model Selection: Hardness and Relaxations	2016	Luca Baldassarre Nirav Bhan Volkan Cevher Anastasios Kyrillidis Siddhartha Satpathi
+ PDF Chat	Learning-Based Compressive Subsampling	2016	Luca Baldassarre Yen-Huan Li Jonathan Scarlett Baran Gözcü Ilija Bogunovic Volkan Cevher
+	Convex block-sparse linear regression with expanders -- provably	2016	Anastasios Kyrillidis Bubacarr Bah Rouzbeh Hasheminezhad Quoc Tran-Dinh Luca Baldassarre Volkan Cevher
+ PDF Chat	Structured Sparsity: Discrete and Convex Approaches	2015	Anastasios Kyrillidis Luca Baldassarre Marwa El Halabi Quoc Tran-Dinh Volkan Cevher
+	Structured Sparsity: Discrete and Convex approaches	2015	Anastasios Kyrillidis Luca Baldassarre Marwa El-Halabi Quoc Tran-Dinh Volkan Cevher
+ PDF Chat	Map estimation for Bayesian mixture models with submodular priors	2014	Marwa El Halabi Luca Baldassarre Volkan Cevher
+ PDF Chat	Convexity in Source Separation : Models, geometry, and algorithms	2014	Michael B. McCoy Volkan Cevher Quoc Tran Dinh Afsaneh Asaei Luca Baldassarre
+	Model-based Sketching and Recovery with Expanders	2013	Bubacarr Bah Luca Baldassarre Volkan Cevher
+ PDF Chat	To convexify or not? Regression with clustering penalties on graphs	2013	Marwa El Halabi Luca Baldassarre Volkan Cevher
+ PDF Chat	Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models	2013	Jessica Schrouff Julien Crémers Gaëtan Garraux Luca Baldassarre Janaı́na Mourão-Miranda Christophe Phillips
+	Group-Sparse Model Selection: Hardness and Relaxations	2013	Luca Baldassarre Nirav Bhan Volkan Cevher Anastasios Kyrillidis Siddhartha Satpathi
+	Tractability of Interpretability via Selection of Group-Sparse Models	2013	Luca Baldassarre Nirav Bhan Volkan Cevher Anastasios Kyrillidis
+	On Sparsity Inducing Regularization Methods for Machine Learning	2013	Andreas A. Argyriou Luca Baldassarre Charles A. Micchelli Massimiliano Pontil
+	Accelerated and Inexact Forward-Backward Algorithms	2013	Silvia Villa Saverio Salzo Luca Baldassarre Alessandro Verri
+	Group-Sparse Model Selection: Hardness and Relaxations	2013	Luca Baldassarre Nirav Bhan Volkan Cevher Anastasios Kyrillidis Siddhartha Satpathi
+	Incorporating Additional Constraints in Sparse Estimation*	2012	Luca Baldassarre Jean M. Morales Massimiliano Pontil
+	Modelling transition dynamics in MDPs with RKHS embeddings	2012	Guy Lever Luca Baldassarre Arthur Gretton Massimiliano Pontil Steffen Gr new lder
+	Modelling transition dynamics in MDPs with RKHS embeddings	2012	Steffen Grünewälder Guy Lever Luca Baldassarre Massi Pontil Arthur Gretton
+ PDF Chat	Multi-output learning via spectral filtering	2012	Luca Baldassarre Lorenzo Rosasco Annalisa Barla Alessandro Verri
+	Optimal Computational Trade-Off of Inexact Proximal Methods	2012	Pierre Machart Sandrine Anthoine Luca Baldassarre
+	Conditional mean embeddings as regressors - supplementary	2012	Steffen Grünewälder Guy Lever Luca Baldassarre Sam Patterson Arthur Gretton Massimiliano Pontil
+	A General Framework for Structured Sparsity via Proximal Optimization	2012	Luca Baldassarre Jean M. Morales Andreas A. Argyriou Massimiliano Pontil
+	Modelling transition dynamics in MDPs with RKHS embeddings	2012	Steffen Grünewälder Guy Lever Luca Baldassarre Massi Pontil Arthur Gretton
+	Modeling transition dynamics in MDPs with RKHS embeddings of conditional distributions	2011	Steffen Grünewälder Luca Baldassarre Massimiliano Pontil Arthur Gretton Guy Lever
+	A General Framework for Structured Sparsity via Proximal Optimization	2011	Andreas A. Argyriou Luca Baldassarre Jean M. Morales Massimiliano Pontil

Common Coauthors

Coauthor	Papers Together
Volkan Cevher	12
Anastasios Kyrillidis	7
Massimiliano Pontil	7
Arthur Gretton	5
Guy Lever	5
Nirav Bhan	4
Steffen Grünewälder	4
Jean M. Morales	3
Siddhartha Satpathi	3
Quoc Tran-Dinh	3
Marwa El Halabi	3
Andreas A. Argyriou	3
Massi Pontil	2
Bubacarr Bah	2
Alessandro Verri	2
Silvia Villa	1
Rouzbeh Hasheminezhad	1
Sam Patterson	1
Lorenzo Rosasco	1
Afsaneh Asaei	1
Julien Crémers	1
Yen-Huan Li	1
Charles A. Micchelli	1
Steffen Gr new lder	1
Quoc Tran Dinh	1
Annalisa Barla	1
Christophe Phillips	1
Jessica Schrouff	1
Gaëtan Garraux	1
Marwa El-Halabi	1
Saverio Salzo	1
Janaı́na Mourão-Miranda	1
Baran Gözcü	1
Michael B. McCoy	1
Pierre Machart	1
Sandrine Anthoine	1
Jonathan Scarlett	1
Ilija Bogunovic	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	10
+ PDF Chat	Model-Based Compressive Sensing	2010	Richard G. Baraniuk Volkan Cevher Marco F. Duarte Chinmay Hegde	9
+	Group lasso with overlap and graph lasso	2009	Laurent Jacob Guillaume Obozinski Jean‐Philippe Vert	8
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	8
+	Signal Recovery by Proximal Forward-Backward Splitting	2005	Patrick L. Combettes Valérie R. Wajs	7
+	Structured Variable Selection with Sparsity-Inducing Norms	2011	Rodolphe Jenatton Jean-Yves Audibert Francis Bach	7
+	Group-Sparse Model Selection: Hardness and Relaxations	2013	Luca Baldassarre Nirav Bhan Volkan Cevher Anastasios Kyrillidis Siddhartha Satpathi	6
+ PDF Chat	The composite absolute penalties family for grouped and hierarchical variable selection	2009	Peng Zhao Guilherme V. Rocha Bin Yu	6
+	Proximal Methods for Hierarchical Sparse Coding	2010	Rodolphe Jenatton Julien Mairal Guillaume Obozinski Francis Bach	5
+	Grouped and Hierarchical Model Selection through Composite Absolute Penalties	2007	Peng Zhao Guilherme V. Rocha Bin Yu	5
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	5
+	Solving Structured Sparsity Regularization with Proximal Methods	2010	Sofia Mosci Lorenzo Rosasco Matteo Santoro Alessandro Verri Silvia Villa	5
+	Model-based Sketching and Recovery with Expanders	2013	Bubacarr Bah Luca Baldassarre Volkan Cevher	4
+	Learning with Structured Sparsity	2009	Junzhou Huang Tong Zhang Dimitris Metaxas	4
+	Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging	2012	Nikhil Rao Robert D. Nowak	4
+	Accelerated and Inexact Forward-Backward Algorithms	2013	Silvia Villa Saverio Salzo Luca Baldassarre Alessandro Verri	4
+ PDF Chat	Robust Recovery of Signals From a Structured Union of Subspaces	2009	Yonina C. Eldar Moshe Mishali	4
+	Gradient methods for minimizing composite objective function	2007	Yu. Nesterov	4
+	A Family of Penalty Functions for Structured Sparsity	2010	Jean M. Morales Charles A. Micchelli Massimiliano Pontil	4
+ PDF Chat	An Exact Tree Projection Algorithm for Wavelets	2013	Coralia Cartis Andrew Thompson	4
+ PDF Chat	Combinatorial selection and least absolute shrinkage via the Clash algorithm	2012	Anastasios Kyrillidis Volkan Cevher	4
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	4
+	Efficient First Order Methods for Linear Composite Regularizers	2011	Andreas A. Argyriou Charles A. Micchelli Massimiliano Pontil Lixin Shen Yuesheng Xu	3
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	3
+	Hilbert Space Embeddings and Metrics on Probability Measures	2010	Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert Lanckriet	3
+	Proximity algorithms for image models: denoising	2011	Charles A. Micchelli Lixin Shen Yuesheng Xu	3
+	Group Lasso with Overlaps: the Latent Group Lasso approach	2011	Guillaume Obozinski Laurent Jacob Jean‐Philippe Vert	3
+	Structured sparsity-inducing norms through submodular functions	2010	Francis Bach	3
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	3
+ PDF Chat	Fonctions convexes duales et points proximaux dans un espace hilbertien	1962	Jean Jacques Moreau	3
+ PDF Chat	On Model-Based RIP-1 Matrices	2013	Piotr Indyk Ilya Razenshteyn	3
+ PDF Chat	Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity	2011	Rodolphe Jenatton Alexandre Gramfort Vincent Michel Guillaume Obozinski Francis Bach Bertrand Thirion	3
+	Convex analysis and nonlinear optimization : theory and examples	2000	Jonathan M. Borwein Adrian S. Lewis	3
+	Convex Relaxation for Combinatorial Penalties	2012	Guillaume Obozinski Francis Bach	3
+ PDF Chat	Classification of arrayCGH data using fused SVM	2008	Franck Rapaport Emmanuel Barillot Jean‐Philippe Vert	3
+ PDF Chat	Total Variation Regularization for fMRI-Based Prediction of Behavior	2011	Vincent Michel Alexandre Gramfort Gaël Varoquaux Evelyn Eger Bertrand Thirion	3
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	3
+ PDF Chat	Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information	2006	Emmanuel J. Candès Justin Romberg Terence Tao	3
+	Kernel Belief Propagation	2011	Le Song Arthur Gretton Danny Bickson Yucheng Low Carlos Guestrin	3
+	Compressed sensing	2006	David L. Donoho	3
+	Robot Navigation using Reinforcement Learning and Slow Feature Analysis	2012	Wendelin Böhmer	2
+	Constrained convex minimization via model-based excessive gap	2014	Quoc Tran-Dinh Volkan Cevher	2
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	2
+	Convex Analysis in General Vector Spaces	2002	Constantin Zălinescu	2
+	Submodular Functions: Extensions, Distributions, and Algorithms. A Survey	2009	Shaddin Dughmi	2
+ PDF Chat	Feature space perspectives for learning the kernel	2007	Charles A. Micchelli Massimiliano Pontil	2
+ PDF Chat	Dualization of Signal Recovery Problems	2010	Patrick L. Combettes Đinh Dũng Bằng Công Vũ	2
+	Nested Iterative Algorithms for Convex Constrained Image Recovery Problems	2009	Caroline Chaux Jean‐Christophe Pesquet Nelly Pustelnik	2
+ PDF Chat	Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems	2009	Amir Beck Marc Teboulle	2
+ PDF Chat	Combining geometry and combinatorics: A unified approach to sparse signal recovery	2008	Radu Berinde Anna C. Gilbert Piotr Indyk Howard Karloff Michael Strauss	2