Francis Bach

发表

III THE MOA SOFTWARE

Albert Bifet, Ricard Gavaldà, Bernhard Pfahringer, 2018 .

ILAB: An Interactive Labelling Strategy for Intrusion Detection

Francis Bach, Anaël Beaugnon, Pierre Chifflier, 2017, RAID.

Combinatorial Penalties: Which structures are preserved by convex relaxations?

Volkan Cevher, Francis Bach, Marwa El Halabi, 2017, AISTATS.

Approximating the Quadratic Transportation Metric in Near-Linear Time pdf

Alessandro Rudi, Francis Bach, Jason Altschuler, 2018, ArXiv.

Fast Iterative Shrinkage for Signal Declipping and Dequantization

Mark D. Plumbley, Wenwu Wang, Francis Bach, 2018, 1812.01540.

Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements

Mark D. Plumbley, Wenwu Wang, Francis Bach, 2019, IEEE Transactions on Signal Processing.

Accelerated Gossip in Networks of Given Dimension Using Jacobi Polynomial Iterations

Francis Bach, Pierre Gaillard, Raphael Berthier, 2018, SIAM J. Math. Data Sci..

EM algorithms for ICA pdf

Francis Bach, Alexandre Gramfort, Jean-François Cardoso, 2018, ArXiv.

32nd International Conference on Machine Learning : (ICML 2015) : Lile, France, 6-11 July 2015

David M. Blei, Francis Bach, F. Bach, 2016 .

Structured sparse methods for matrix factorization

Francis Bach, F. Bach, 2010 .

A General Theory for Structured Prediction with Smooth Convex Surrogates pdf

Alessandro Rudi, Francis Bach, Alex Nowak-Vila, 2019, ArXiv.

Apprentissage par noyaux multiples

Francis Bach, 2009 .

SING: Symbol-to-Instrument Neural Generator

Nicolas Usunier, Léon Bottou, Neil Zeghidour, 2018, NeurIPS.

Relating Leverage Scores and Density using Regularized Christoffel Functions

Jean-Philippe Vert, Edouard Pauwels, Francis Bach, 2018, NeurIPS.

Learning With Subquadratic Regularization : A Primal-Dual Approach

Francis Bach, Raman Sankaran, Chiranjib Bhattacharyya, 2020, IJCAI.

On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport

Francis Bach, Lenaïc Chizat, F. Bach, 2018, NeurIPS.

Exponential convergence of testing error for stochastic gradient methods pdf

Alessandro Rudi, Francis Bach, Loucas Pillaud-Vivien, 2017, COLT.

AdaBatch: Efficient Gradient Aggregation Rules for Sequential and Parallel Stochastic Gradient Methods pdf

Francis Bach, Alexandre Défossez, 2017, ArXiv.

Unsupervised Image Matching and Object Discovery as Optimization

Patrick Pérez, Jean Ponce, Kai Han, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

A tensor-based algorithm for high-order graph matching

Jean Ponce, Olivier Duchenne, Francis Bach, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

12 The Graphical User Interface

Albert Bifet, Geoff Holmes, Ricard Gavaldà, 2018 .

Iterative hard clustering of features

Alexandre d'Aspremont, Francis Bach, Fajwel Fogel, 2017 .

Machine learning and convex optimization with submodular functions

Francis Bach, F. Bach, 2013 .

Learning with sparsity-inducing norms

Francis Bach, F. Bach, 2008 .

A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability

Emmanuel Dupoux, Francis Bach, Thomas Schatz, 2017, INTERSPEECH.

Partially Encrypted Machine Learning using Functional Encryption pdf

David Pointcheval, Francis Bach, Romain Gay, 2019, NeurIPS 2019.

Fast Decomposable Submodular Function Minimization using Constrained Total Variation

S. S. Karri, Thomas Pock, Francis Bach, 2019, NeurIPS.

Sample Complexity of Sinkhorn Divergences

Gabriel Peyré, Marco Cuturi, Aude Genevay, 2018, AISTATS.

New Results - Active-set Methods for Submodular Optimization

K. S. Sesh Kumar, Francis Bach, F. Bach, 2015 .

A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise

Francis Bach, Kfir Y. Levy, F. Bach, 2019, COLT.

Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes

Mike E. Davies, Francis Bach, Mohammad Golbabaee, 2018, NeurIPS.

Constant Step Size Stochastic Gradient Descent for Probabilistic Modeling pdf

Francis Bach, Dmitry Babichev, F. Bach, 2018, UAI.

Submodular functions: from discrete to continuous domains

Francis Bach, F. Bach, 2015, Mathematical Programming.

On Lazy Training in Differentiable Programming

Francis Bach, Edouard Oyallon, Lenaic Chizat, 2018, NeurIPS.

New Results - Human activity capture and classification

Cordelia Schmid, Jean Ponce, Visesh Chari, 2011 .

Massively scalable Sinkhorn distances via the Nyström method pdf

Alessandro Rudi, Francis Bach, Jason Altschuler, 2018, NeurIPS.

Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling

Christophe Dupuy, Francis Bach, F. Bach, 2016, J. Mach. Learn. Res..

Efficient and robust stochastic approximation through an online Newton method

Francis Bach, Francis R. Bach, 2014 .

New Results - Large-Margin Metric Learning for Partitioning Problems

Francis Bach, Sylvain Arlot, Rémi Lajugie, 2013 .

Consistent Dictionary Learning for Signal Declipping

Mark D. Plumbley, Wenwu Wang, Francis Bach, 2018, LVA/ICA.

Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions

Francis Bach, Adrien Taylor, F. Bach, 2019, COLT.

IntroductionSpecial issue: Deep learning

Tomaso Poggio, Francis Bach, T. Poggio, 2016 .

Nonlinear Acceleration of CNNs pdf

Alexandre d'Aspremont, Francis Bach, Edouard Oyallon, 2018, ICLR.

An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums

Laurent Massoulié, Hadrien Hendrikx, Francis Bach, 2019, NeurIPS.

Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums pdf

Laurent Massoulié, Hadrien Hendrikx, Francis Bach, 2019, ArXiv.

Learning with Clustering Structure

Alexandre d'Aspremont, Francis Bach, Fajwel Fogel, 2015 .

Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models pdf

Anton Osokin, Francis Bach, Tatiana Shpakova, 2018, UAI.

Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach

Chiranjib Bhattacharyya, Francis Bach, Achintya Kundu, 2017, AISTATS.

New Results - Maximizing submodular functions using probabilistic graphical models

K. S. Sesh Kumar, Francis Bach, F. Bach, 2013 .

Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses

Alessandro Rudi, Francis Bach, Ulysse Marteau-Ferey, 2019, NeurIPS.

Partially Encrypted Deep Learning using Functional Encryption

Francis Bach, Romain Gay, David Pointcheval, 2019, NeurIPS.

14 Using the API

Albert Bifet, Ricard Gavaldà, Bernhard Pfahringer, 2018 .

Sharp Analysis of Learning with Discrete Losses pdf

Alessandro Rudi, Francis Bach, Alex Nowak-Vila, 2019, AISTATS.

Models of Visual Object Recognition and Scene Understanding

Jean-Philippe Pons, Jean Ponce, Y-Lan Boureau, 2007 .

Clustered Multi-Task Learning: A Convex Formulation

Jean-Philippe Vert, Francis Bach, Laurent Jacob, 2008, NIPS.

Apprentissage de dictionnaire pour les représentations parcimonieuses

Martin Kleinsteuber, Francis Bach, Rodolphe Jenatton, 2014 .

Large-scale machine learning and convex optimization

Francis Bach, F. Bach, 2015 .

Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron pdf

Mark W. Schmidt, Francis Bach, Sharan Vaswani, 2018, AISTATS.

Structured Penalties for Log-Linear Language Models

Guillaume Bouchard, Julien Mairal, Cédric Archambeau, 2013, EMNLP.

Kernel-Based for Testing

Olivier Cappé, Francis Bach, Zaid Harchaoui, 2013 .

Segmentation of random textures by morphological and linear operators

Dominique Jeulin, Francis Bach, Aurélien Cord, 2007, ISMM.

Localized Structured Prediction pdf

Alessandro Rudi, Carlo Ciliberto, Francis Bach, 2018, NeurIPS.

New Results - Learning and statistical models

Guillaume Bouchard, Julien Mairal, Bin Yu, 2013 .

Max-Plus Matching Pursuit for Deterministic Markov Decision Processes pdf

Francis Bach, 2019, ArXiv.

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Michael I. Jordan, Nilesh Tripuraneni, Francis Bach, 2018, COLT.

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

Volkan Cevher, Francis Bach, Kfir Y. Levy, 2019, NeurIPS.

SVM Speaker Verification using an Incomplete Cholesky Decomposition Sequence Kernel

Jérôme Louradour, Khalid Daoudi, Francis Bach, 2006, 2006 IEEE Odyssey - The Speaker and Language Recognition Workshop.

Software and Platforms - SPArse Modeling Software (SPAMS)

Jean Ponce, Julien Mairal, Francis Bach, 2013 .

Gossip of Statistical Observations using Orthogonal Polynomials pdf

Francis Bach, Pierre Gaillard, Raphaël Berthier, 2018, ArXiv.

Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance

Alessandro Rudi, Francis Bach, Ulysse Marteau-Ferey, 2019, COLT.

Hyper-parameter Learning for Sparse Structured Probabilistic Models

Mike E. Davies, Francis Bach, Tatiana Shpakova, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Active-set Methods for Submodular Minimization Problems

K. S. Sesh Kumar, Francis Bach, F. Bach, 2015, J. Mach. Learn. Res..

Overcomplete Independent Component Analysis via SDP pdf

Alexandre d'Aspremont, Francis Bach, Alexander S. Wein, 2019, AISTATS.

Optimal Algorithms for Non-Smooth Distributed Optimization in Networks

Laurent Massoulié, Yin Tat Lee, Sébastien Bubeck, 2018, NeurIPS.

Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification pdf

Dmitrii Ostrovskii, Francis Bach, Dmitry Babichev, 2019, ArXiv.

Consistency of Kernel Canonical Correlation Analysis

Kenji Fukumizu, Arthur Gretton, Francis Bach, 2005 .

Nonlinear Acceleration of Deep Neural Networks pdf

Alexandre d'Aspremont, Francis Bach, Edouard Oyallon, 2018, ArXiv.

Structure-Adaptive, Variance-Reduced, and Accelerated Stochastic Optimization

Mike Davies, Francis Bach, Mohammad Golbabaee, 2017, 1712.03156.

Machine learning and optimization for massive data

Francis Bach, F. Bach, 2015 .

Beyond stochastic gradient descent for large-scale machine learning

Francis Bach, 2014 .

A Note on Lazy Training in Supervised Differentiable Programming pdf

Francis Bach, Lénaïc Chizat, F. Bach, 2018, ArXiv.

II STREAM MINING

Geoff Holmes, Ricard Gavaldà, Albert Bifet, 2018 .

Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes

Alessandro Rudi, Francis Bach, Loucas Pillaud-Vivien, 2018, NeurIPS.

Stochastic algorithms with descent guarantees for ICA

Francis Bach, Alexandre Gramfort, Jean-François Cardoso, 2018, AISTATS.

MACHINE LEARNING FOR DATA STREAMS

Albert Bifet, Ricard Gavaldà, Bernhard Pfahringer, 2018 .

Sparse methods for machine learning Theory and algorithms

Guillaume Obozinski, Francis Bach, G. Obozinski, 2012 .

Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks

Francis Bach, Gauthier Gidel, Simon Lacoste-Julien, 2019, NeurIPS.

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed pdf

Nicolas Usunier, Francis Bach, Léon Bottou, 2019, ArXiv.

New Results - Image restoration, manipulation and enhancement

Jean Ponce, Andrew Zisserman, Julien Mairal, 2011 .

Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization

Francis Bach, F. Bach, 2017, NeurIPS.

Structure-Adaptive Accelerated Coordinate Descent

Mike E. Davies, Francis Bach, Mohammad Golbabaee, 2018 .

Evaluating automatic speech recognition systems as quantitative models of cross-lingual phonetic category perception.

Emmanuel Dupoux, Francis Bach, Thomas Schatz, 2018, The Journal of the Acoustical Society of America.

Convex optimization with sparsity-inducing norms

Julien Mairal, Guillaume Obozinski, Francis Bach, 2011 .