| 2025 | COLT | An uncertainty principle for Linear Recurrent Neural Networks. | Alexandre Franois, Antonio Orvieto, Francis R. Bach |
| 2024 | AISTATS | Classifier Calibration with ROC-Regularized Isotonic Regression. | Eugene Berta, Francis R. Bach, Michael I. Jordan |
| 2024 | AISTATS | On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions. | Simon Martin, Francis R. Bach, Giulio Biroli |
| 2024 | COLT | Physics-informed machine learning as a kernel method. | Nathan Doumche, Francis R. Bach, Grard Biau, Claire Boyer |
| 2024 | ICLR | Chain of Log-Concave Markov Chains. | Saeed Saremi, Ji Won Park, Francis R. Bach |
| 2023 | AISTATS | Explicit Regularization in Overparametrized Models via Noise Injection. | Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach |
| 2023 | AISTATS | Regression as Classification: Influence of Task Formulation on Neural Network Features. | Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert |
| 2023 | COLT | Kernelized Diffusion Maps. | Loucas Pillaud-Vivien, Francis R. Bach |
| 2023 | ICML | On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization. | Amir Joudaki, Hadi Daneshmand, Francis R. Bach |
| 2023 | ICML | Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy. | Blake E. Woodworth, Konstantin Mishchenko, Francis R. Bach |
| 2022 | AISTATS | Sampling from Arbitrary Functions via PSD Models. | Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi |
| 2022 | AISTATS | On the Consistency of Max-Margin Losses. | Alex Nowak, Alessandro Rudi, Francis R. Bach |
| 2022 | COLT | Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares. | Blake E. Woodworth, Francis R. Bach, Alessandro Rudi |
| 2022 | ICML | Anticorrelated Noise Injection for Improved Generalization. | Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurlien Lucchi |
| 2022 | ICML | Convergence of Uncertainty Sampling for Active Learning. | Anant Raj, Francis R. Bach |
| 2021 | AISTATS | Explicit Regularization of Stochastic Gradient Methods through Duality. | Anant Raj, Francis R. Bach |
| 2021 | COLT | Fast Rates for Structured Prediction. | Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi |
| 2021 | COLT | A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation. | Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis R. Bach, Franois-Xavier Vialard |
| 2021 | ICLR | Deep Equals Shallow for ReLU Networks in Kernel Regimes. | Alberto Bietti, Francis R. Bach |
| 2021 | ICML | Disambiguation of Weak Supervision leading to Exponential Convergence rates. | Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi |
| 2020 | AISTATS | Statistical Estimation of the Poincar constant and Application to Sampling Multimodal Distributions. | Loucas Pillaud-Vivien, Francis R. Bach, Tony Lelivre, Alessandro Rudi, Gabriel Stoltz |
| 2020 | COLT | Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss. | Lnac Chizat, Francis R. Bach |
| 2020 | ICML | Stochastic Optimization for Regularized Wasserstein Estimators. | Marin Ballu, Quentin Berthet, Francis R. Bach |
| 2020 | ICML | Structured Prediction with Partial Labelling through the Infimum Loss. | Vivien Cabannes, Alessandro Rudi, Francis R. Bach |
| 2020 | ICML | Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. | Hadrien Hendrikx, Lin Xiao, Sbastien Bubeck, Francis R. Bach, Laurent Massouli |
| 2020 | ICML | Consistent Structured Prediction with Max-Min Margin Markov Networks. | Alex Nowak, Francis R. Bach, Alessandro Rudi |
| 2020 | IJCAI | Learning With Subquadratic Regularization : A Primal-Dual Approach. | Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya |
| 2019 | AISTATS | Stochastic algorithms with descent guarantees for ICA. | Pierre Ablin, Alexandre Gramfort, Jean-Franois Cardoso, Francis R. Bach |
| 2019 | AISTATS | Sample Complexity of Sinkhorn Divergences. | Aude Genevay, Lnac Chizat, Francis R. Bach, Marco Cuturi, Gabriel Peyr |
| 2019 | AISTATS | Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. | Hadrien Hendrikx, Francis R. Bach, Laurent Massouli |
| 2019 | AISTATS | Sharp Analysis of Learning with Discrete Losses. | Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi |
| 2019 | AISTATS | Overcomplete Independent Component Analysis via SDP. | Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag |
| 2019 | AISTATS | Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron. | Sharan Vaswani, Francis R. Bach, Mark Schmidt |
| 2019 | COLT | A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise. | Francis R. Bach, Kfir Y. Levy |
| 2019 | COLT | Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. | Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis R. Bach, Alessandro Rudi |
| 2019 | COLT | Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions. | Adrien B. Taylor, Francis R. Bach |
| 2019 | CVPR | Unsupervised Image Matching and Object Discovery as Optimization. | Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Prez, Jean Ponce |
| 2019 | ICASSP | Hyper-parameter Learning for Sparse Structured Probabilistic Models. | Tatiana Shpakova, Francis R. Bach, Mike E. Davies |
| 2018 | AAAI | End-to-End Active Learning for Computer Security Experts. | Anal Beaugnon, Pierre Chifflier, Francis R. Bach |
| 2018 | AISTATS | Learning Determinantal Point Processes in Sublinear Time. | Christophe Dupuy, Francis R. Bach |
| 2018 | AISTATS | Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods. | Robert M. Gower, Nicolas Le Roux, Francis R. Bach |
| 2018 | AISTATS | Combinatorial Penalties: Which structures are preserved by convex relaxations? | Marwa El Halabi, Francis R. Bach, Volkan Cevher |
| 2018 | AISTATS | Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach. | Achintya Kundu, Francis R. Bach, Chiranjib Bhattacharyya |
| 2018 | AISTATS | A Generic Approach for Escaping Saddle points. | Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabs Pczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola |
| 2018 | COLT | Exponential Convergence of Testing Error for Stochastic Gradient Methods. | Loucas Pillaud-Vivien, Alessandro Rudi, Francis R. Bach |
| 2018 | COLT | Averaging Stochastic Gradient Descent on Riemannian Manifolds. | Nilesh Tripuraneni, Nicolas Flammarion, Francis R. Bach, Michael I. Jordan |
| 2018 | ICLR | Nonlinear Acceleration of CNNs. | Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach |
| 2018 | UAI | Constant Step Size Stochastic Gradient Descent for Probabilistic Modeling. | Dmitry Babichev, Francis R. Bach |
| 2018 | UAI | Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. | Tatiana Shpakova, Francis R. Bach, Anton Osokin |
| 2017 | AISTATS | Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L | Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya |
| 2017 | CogSci | ASR Systems as Models of Phonetic Category Perception in Adults. | Thomas Schatz, Francis R. Bach, Emmanuel Dupoux |
| 2017 | COLT | Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$. | Nicolas Flammarion, Francis R. Bach |
| 2017 | CVPR | Kernel Square-Loss Exemplar Machines for Image Retrieval. | Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis R. Bach, Patrick Prez |
| 2017 | ICASSP | Primal-dual algorithms for non-negative matrix factorization with the Kullback-Leibler divergence. | Felipe Yanez, Francis R. Bach |
| 2017 | ICML | Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks. | Kevin Scaman, Francis R. Bach, Sbastien Bubeck, Yin Tat Lee, Laurent Massouli |
| 2017 | Interspeech | A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability. | Thomas Schatz, Rory Turnbull, Francis R. Bach, Emmanuel Dupoux |
| 2017 | RAID | ILAB: An Interactive Labelling Strategy for Intrusion Detection. | Anal Beaugnon, Pierre Chifflier, Francis R. Bach |
| 2016 | COLT | Highly-Smooth Zero-th Order Online Optimization. | Francis R. Bach, Vianney Perchet |
| 2016 | ICASSP | A weakly-supervised discriminative model for audio-to-score alignment. | Rmi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis R. Bach |
| 2016 | ICML | Beyond CCA: Moment Matching for Multi-View Models. | Anastasia Podosinnikova, Francis R. Bach, Simon Lacoste-Julien |
| 2015 | AISTATS | Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions. | Alexandre Dfossez, Francis R. Bach |
| 2015 | AISTATS | Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering. | Simon Lacoste-Julien, Fredrik Lindsten, Francis R. Bach |
| 2015 | COLT | From Averaging to Acceleration, There is Only a Step-size. | Nicolas Flammarion, Francis R. Bach |
| 2015 | ICASSP | An online EM algorithm in hidden (semi-)Markov models for audio segmentation and clustering. | Alberto Bietti, Francis R. Bach, Arshia Cont |
| 2015 | ICCV | Weakly-Supervised Alignment of Video with Text. | Piotr Bojanowski, Rmi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid |
| 2014 | COLING | A Markovian approach to distributional semantics with application to semantic compositionality. | Edouard Grave, Guillaume Obozinski, Francis R. Bach |
| 2014 | ECCV | Weakly Supervised Action Labeling in Videos under Ordering Constraints. | Piotr Bojanowski, Rmi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic |
| 2014 | ICML | Large-Margin Metric Learning for Constrained Partitioning Problems. | Rmi Lajugie, Francis R. Bach, Sylvain Arlot |
| 2014 | Interspeech | Evaluating speech features with the minimal-pair ABX task (II): resistance to noise. | Thomas Schatz, Vijayaditya Peddinti, Xuan-Nga Cao, Francis R. Bach, Hynek Hermansky, Emmanuel Dupoux |
| 2013 | COLT | Sharp analysis of low-rank kernel matrix approximations. | Francis R. Bach |
| 2013 | CoNLL | Hidden Markov tree models for semantic class induction. | Edouard Grave, Guillaume Obozinski, Francis R. Bach |
| 2013 | EMNLP | Structured Penalties for Log-Linear Language Models. | Anil Kumar Nelakanti, Cdric Archambeau, Julien Mairal, Francis R. Bach, Guillaume Bouchard |
| 2013 | ICCV | Finding Actors and Actions in Movies. | Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic |
| 2013 | ICML | Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression. | Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis R. Bach |
| 2013 | ICML | Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs. | K. S. Sesh Kumar, Francis R. Bach |
| 2013 | ICML | Intersecting singularities for multi-structured estimation. | Emile Richard, Francis R. Bach, Jean-Philippe Vert |
| 2013 | Interspeech | Evaluating speech features with the minimal-pair ABX task: analysis of the classical MFC/PLP pipeline. | Thomas Schatz, Vijayaditya Peddinti, Francis R. Bach, Aren Jansen, Hynek Hermansky, Emmanuel Dupoux |
| 2012 | CVPR | Multi-class cosegmentation. | Armand Joulin, Francis R. Bach, Jean Ponce |
| 2012 | ICML | On the Equivalence between Herding and Conditional Gradient Algorithms. | Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski |
| 2012 | ICML | A convex relaxation for weakly supervised classifiers. | Armand Joulin, Francis R. Bach |
| 2012 | ICPRAM | Structured Sparsity and Convex Optimization. | Francis R. Bach |
| 2011 | CVPR | Sparse image representation with epitomes. | Louise Benot, Julien Mairal, Francis R. Bach, Jean Ponce |
| 2011 | ICASSP | Itakura-Saito nonnegative matrix factorization with group sparsity. | Augustin Lefvre, Francis R. Bach, Cdric Fvotte |
| 2011 | ICCV | Ask the locals: Multi-way local pooling for image recognition. | Y-Lan Boureau, Nicolas Le Roux, Francis R. Bach, Jean Ponce, Yann LeCun |
| 2011 | ICML | Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. | Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin |
| 2010 | CVPR | Learning mid-level features for recognition. | Y-Lan Boureau, Francis R. Bach, Yann LeCun, Jean Ponce |
| 2010 | CVPR | Discriminative clustering for image co-segmentation. | Armand Joulin, Francis R. Bach, Jean Ponce |
| 2010 | ICML | Proximal Methods for Sparse Hierarchical Dictionary Learning. | Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach |
| 2009 | CVPR | A tensor-based algorithm for high-order graph matching. | Olivier Duchenne, Francis R. Bach, In-So Kweon, Jean Ponce |
| 2009 | ICCV | Automatic annotation of human actions in video. | Olivier Duchenne, Ivan Laptev, Josef Sivic, Francis R. Bach, Jean Ponce |
| 2009 | ICCV | Non-local sparse models for image restoration. | Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman |
| 2009 | ICML | Online dictionary learning for sparse coding. | Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro |
| 2008 | CVPR | Discriminative learned dictionaries for local image analysis. | Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman |
| 2008 | ECCV | Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. | Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce |
| 2008 | ICISP | A Path Following Algorithm for Graph Matching. | Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert |
| 2008 | ICML | Graph kernels between point clouds. | Francis R. Bach |
| 2008 | ICML | Bolasso: model consistent Lasso estimation through the bootstrap. | Francis R. Bach |
| 2007 | CVPR | Image Classification with Segmentation Graph Kernels. | Zad Harchaoui, Francis R. Bach |
| 2007 | ICML | Full regularization path for sparse principal component analysis. | Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui |
| 2007 | ICML | More efficiency in multiple kernel learning. | Alain Rakotomamonjy, Francis R. Bach, Stphane Canu, Yves Grandvalet |
| 2007 | ISMM | Segmentation of random textures by morphological and linear operators. | Aurlien Cord, Dominique Jeulin, Francis R. Bach |
| 2005 | AISTATS | On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers. | Francis R. Bach, David Heckerman, Eric Horvitz |
| 2005 | ICASSP | Discriminative training of hidden Markov models for multiple pitch tracking [speech processing examples]. | Francis R. Bach, Michael I. Jordan |
| 2005 | ICML | Predictive low-rank decomposition for kernel methods. | Francis R. Bach, Michael I. Jordan |
| 2004 | ICML | Multiple kernel learning, conic duality, and the SMO algorithm. | Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan |
| 2003 | ICASSP | Kernel independent component analysis. | Francis R. Bach, Michael I. Jordan |
| 2002 | UAI | Tree-dependent Component Analysis. | Francis R. Bach, Michael I. Jordan |