Francis R. Bach

490 papers A* 94A 31B 3C 1Misc 5Journal 288Unranked 68

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Variational Estimator for L CoRR Eugene Berta, Sacha Braun, David Holzmüller, Francis R. Bach, Michael I. Jordan
2026	J	`jnl`	Betting on Equilibrium: Monitoring Strategic Behavior in Multi-Agent Systems. CoRR Etienne Gauthier, Francis R. Bach, Michael I. Jordan
2026	J	`jnl`	Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression. CoRR Sacchit Kale, Piyushi Manupriya, Pierre Marion, Francis R. Bach, Anant Raj
2025	J	`jnl`	Adaptive Coverage Policies in Conformal Prediction. CoRR Etienne Gauthier, Francis R. Bach, Michael I. Jordan
2025	J	`jnl`	An Uncertainty Principle for Linear Recurrent Neural Networks. CoRR Alexandre François, Antonio Orvieto, Francis R. Bach
2025	A*	`conf`	An uncertainty principle for Linear Recurrent Neural Networks. COLT Alexandre François, Antonio Orvieto, Francis R. Bach
2025	J	`jnl`	Backward Conformal Prediction. CoRR Etienne Gauthier, Francis R. Bach, Michael I. Jordan
2025	J	`jnl`	Building Bridges between Regression, Clustering, and Classification. CoRR Lawrence Stewart, Francis R. Bach, Quentin Berthet
2025	J	`jnl`	Conditional Coverage Diagnostics for Conformal Prediction. CoRR Sacha Braun, David Holzmüller, Michael I. Jordan, Francis R. Bach
2025	J	`jnl`	Convergence of Deterministic and Stochastic Diffusion-Model Samplers: A Simple Analysis in Wasserstein Distance. CoRR Eliot Beyler, Francis R. Bach
2025	J	`jnl`	Convergence of Shallow ReLU Networks on Weakly Interacting Data. CoRR Léo Dana, Francis R. Bach, Loucas Pillaud-Vivien
2025	J	`jnl`	E-Values Expand the Scope of Conformal Prediction. CoRR Etienne Gauthier, Francis R. Bach, Michael I. Jordan
2025	J	`jnl`	Finding global minima via kernel approximations. Math. Program. Alessandro Rudi, Ulysse Marteau-Ferey, Francis R. Bach
2025	J	`jnl`	Forecasting time series with constraints. CoRR Nathan Doumèche, Francis R. Bach, Éloi Bedek, Gérard Biau, Claire Boyer, Yannig Goude
2025	J	`jnl`	Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization. CoRR Antônio H. Ribeiro, David Vävinggren, Dave Zachariah, Thomas B. Schön, Francis R. Bach
2025	J	`jnl`	Minimum Volume Conformal Sets for Multivariate Regression. CoRR Sacha Braun, Liviu Aolaritei, Michael I. Jordan, Francis R. Bach
2025	J	`jnl`	Multivariate Conformal Prediction via Conformalized Gaussian Scoring. CoRR Sacha Braun, Eugene Berta, Michael I. Jordan, Francis R. Bach
2025	J	`jnl`	Optimizing Estimators of Squared Calibration Errors in Classification. Trans. Mach. Learn. Res. Sebastian Gregor Gruber, Francis R. Bach
2025	J	`jnl`	Rethinking Early Stopping: Refine, Then Calibrate. CoRR Eugene Berta, David Holzmüller, Michael I. Jordan, Francis R. Bach
2025	J	`jnl`	Sampling Binary Data by Denoising through Score Functions. CoRR Francis R. Bach, Saeed Saremi
2025	J	`jnl`	Statistical Collusion by Collectives on Learning Platforms. CoRR Etienne Gauthier, Francis R. Bach, Michael I. Jordan
2025	J	`jnl`	Sum-of-squares relaxations for polynomial min-max problems over simple sets. Math. Program. Francis R. Bach
2025	J	`jnl`	The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training. CoRR Fabian Schaipp, Alexander Hägele, Adrien B. Taylor, Umut Simsekli, Francis R. Bach
2024	A*	`conf`	Chain of Log-Concave Markov Chains. ICLR Saeed Saremi, Ji Won Park, Francis R. Bach
2024	A	`conf`	Classifier Calibration with ROC-Regularized Isotonic Regression. AISTATS Eugene Berta, Francis R. Bach, Michael I. Jordan
2024	J	`jnl`	Efficient Optimization Algorithms for Linear Adversarial Training. CoRR Antônio H. Ribeiro, Thomas B. Schön, Dave Zahariah, Francis R. Bach
2024	J	`jnl`	High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections. SIAM J. Math. Data Sci. Francis R. Bach
2024	J	`jnl`	Low-Rank Plus Diagonal Approximations for Riccati-Like Matrix Differential Equations. SIAM J. Matrix Anal. Appl. Silvère Bonnabel, Marc Lambert, Francis R. Bach
2024	J	`jnl`	Low-rank plus diagonal approximations for Riccati-like matrix differential equations. CoRR Silvère Bonnabel, Marc Lambert, Francis R. Bach
2024	A	`conf`	On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions. AISTATS Simon Martin, Francis R. Bach, Giulio Biroli
2024	J	`jnl`	Optimal Estimation of Smooth Transport Maps with Kernel SoS. SIAM J. Math. Data Sci. Adrien Vacher, Boris Muzellec, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi
2024	J	`jnl`	Physics-informed kernel learning. CoRR Nathan Doumèche, Francis R. Bach, Gérard Biau, Claire Boyer
2024	A*	`conf`	Physics-informed machine learning as a kernel method. COLT Nathan Doumèche, Francis R. Bach, Gérard Biau, Claire Boyer
2024	J	`jnl`	Physics-informed machine learning as a kernel method. CoRR Nathan Doumèche, Francis R. Bach, Claire Boyer, Gérard Biau
2024	J	`jnl`	Second Order Conditions to Decompose Smooth Functions as Sums of Squares. SIAM J. Optim. Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2024	J	`jnl`	Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence. CoRR Clémentine Chazal, Anna Korba, Francis R. Bach
2024	A*	`conf`	Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence. NeurIPS Anna Korba, Francis R. Bach, Clémentine Chazal
2024	—	`conf`	Variational Dynamic Programming for Stochastic Optimal Control. CDC Marc Lambert, Francis R. Bach, Silvère Bonnabel
2023	J	`jnl`	A Systematic Approach to Lyapunov Analyses of Continuous-Time Models in Convex Optimization. SIAM J. Optim. Céline Moucer, Adrien B. Taylor, Francis R. Bach
2023	J	`jnl`	Chain of Log-Concave Markov Chains. CoRR Saeed Saremi, Ji Won Park, Francis R. Bach
2023	J	`jnl`	Classifier Calibration with ROC-Regularized Isotonic Regression. CoRR Eugene Berta, Francis R. Bach, Michael I. Jordan
2023	J	`jnl`	Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation. CoRR David Holzmüller, Francis R. Bach
2023	A*	`conf`	Differentiable Clustering with Perturbed Spanning Forests. NeurIPS Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
2023	J	`jnl`	Differentiable Clustering with Perturbed Spanning Forests. CoRR Lawrence Stewart, Francis R. Bach, Felipe Llinares-López, Quentin Berthet
2023	A	`conf`	Explicit Regularization in Overparametrized Models via Noise Injection. AISTATS Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
2023	J	`jnl`	Exponential Convergence of Sum-of-Squares Hierarchies for Trigonometric Polynomials. SIAM J. Optim. Francis R. Bach, Alessandro Rudi
2023	J	`jnl`	High-dimensional analysis of double descent for linear regression with random projections. CoRR Francis R. Bach
2023	J	`jnl`	Information Theory With Kernel Methods. IEEE Trans. Inf. Theory Francis R. Bach
2023	A*	`conf`	Kernelized Diffusion Maps. COLT Loucas Pillaud-Vivien, Francis R. Bach
2023	J	`jnl`	Kernelized Diffusion maps. CoRR Loucas Pillaud-Vivien, Francis R. Bach
2023	A*	`conf`	On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization. ICML Amir Joudaki, Hadi Daneshmand, Francis R. Bach
2023	A*	`conf`	On the impact of activation and normalization in obtaining isometric embeddings at initialization. NeurIPS Amir Joudaki, Hadi Daneshmand, Francis R. Bach
2023	J	`jnl`	On the impact of activation and normalization in obtaining isometric embeddings at initialization. CoRR Amir Joudaki, Hadi Daneshmand, Francis R. Bach
2023	J	`jnl`	On the relationship between multivariate splines and infinitely-wide neural networks. CoRR Francis R. Bach
2023	J	`jnl`	Principled analyses and design of first-order methods with inexact proximal operators. Math. Program. Mathieu Barré, Adrien B. Taylor, Francis R. Bach
2023	A	`conf`	Regression as Classification: Influence of Task Formulation on Neural Network Features. AISTATS Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert
2023	A*	`conf`	Regularization properties of adversarially-trained linear regression. NeurIPS Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2023	J	`jnl`	Regularization properties of adversarially-trained linear regression. CoRR Antônio H. Ribeiro, Dave Zachariah, Francis R. Bach, Thomas B. Schön
2023	J	`jnl`	The limited-memory recursive variational Gaussian approximation (L-RVGA). CoRR Marc Lambert, Silvère Bonnabel, Francis R. Bach
2023	J	`jnl`	The limited-memory recursive variational Gaussian approximation (L-RVGA). Stat. Comput. Marc Lambert, Silvère Bonnabel, Francis R. Bach
2023	J	`jnl`	Theory and applications of the Sum-Of-Squares technique. CoRR Francis R. Bach, Elisabetta Cornacchia, Luca Pesce, Giovanni Piccioli
2023	A*	`conf`	Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy. ICML Blake E. Woodworth, Konstantin Mishchenko, Francis R. Bach
2023	J	`jnl`	Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy. CoRR Blake E. Woodworth, Konstantin Mishchenko, Francis R. Bach
2023	J	`jnl`	Universal Smoothed Score Functions for Generative Modeling. CoRR Saeed Saremi, Rupesh Kumar Srivastava, Francis R. Bach
2023	—	`conf`	Variational Gaussian Approximation of the Kushner Optimal Filter. GSI (1) Marc Lambert, Silvère Bonnabel, Francis R. Bach
2023	J	`jnl`	Variational Gaussian approximation of the Kushner optimal filter. CoRR Marc Lambert, Silvère Bonnabel, Francis R. Bach
2023	J	`jnl`	Variational Principles for Mirror Descent and Mirror Langevin Dynamics. CoRR Belinda Tzen, Anant Raj, Maxim Raginsky, Francis R. Bach
2023	J	`jnl`	Variational Principles for Mirror Descent and Mirror Langevin Dynamics. IEEE Control. Syst. Lett. Belinda Tzen, Anant Raj, Maxim Raginsky, Francis R. Bach
2022	A*	`conf`	A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning. NeurIPS Eloïse Berthier, Ziad Kobeissi, Francis R. Bach
2022	J	`jnl`	A Simple Convergence Proof of Adam and Adagrad. Trans. Mach. Learn. Res. Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
2022	J	`jnl`	A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives. Open J. Math. Optim. Mathieu Barré, Adrien B. Taylor, Francis R. Bach
2022	J	`jnl`	A systematic approach to Lyapunov analyses of continuous-time models in convex optimization. CoRR Céline Moucer, Adrien B. Taylor, Francis R. Bach
2022	A*	`conf`	Active Labeling: Streaming Stochastic Gradients. NeurIPS Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi
2022	J	`jnl`	Active Labeling: Streaming Stochastic Gradients. CoRR Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi
2022	A*	`conf`	Anticorrelated Noise Injection for Improved Generalization. ICML Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurélien Lucchi
2022	J	`jnl`	Anticorrelated Noise Injection for Improved Generalization. CoRR Antonio Orvieto, Hans Kersting, Frank Proske, Francis R. Bach, Aurélien Lucchi
2022	J	`jnl`	AriaNN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing. Proc. Priv. Enhancing Technol. Théo Ryffel, Pierre Tholoniat, David Pointcheval, Francis R. Bach
2022	A*	`conf`	Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays. NeurIPS Konstantin Mishchenko, Francis R. Bach, Mathieu Even, Blake E. Woodworth
2022	J	`jnl`	Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays. CoRR Konstantin Mishchenko, Francis R. Bach, Mathieu Even, Blake E. Woodworth
2022	A*	`conf`	Convergence of Uncertainty Sampling for Active Learning. ICML Anant Raj, Francis R. Bach
2022	J	`jnl`	Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics. CoRR Théo Ryffel, Francis R. Bach, David Pointcheval
2022	J	`jnl`	Entropy Maximization with Depth: A Variational Principle for Random Neural Networks. CoRR Amir Joudaki, Hadi Daneshmand, Francis R. Bach
2022	J	`jnl`	Explicit Regularization in Overparametrized Models via Noise Injection. CoRR Antonio Orvieto, Anant Raj, Hans Kersting, Francis R. Bach
2022	A*	`conf`	Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. NeurIPS Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor
2022	J	`jnl`	Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization. CoRR Benjamin Dubois-Taine, Francis R. Bach, Quentin Berthet, Adrien B. Taylor
2022	—	`conf`	Infinite-Dimensional Sums-of-Squares for Optimal Control. CDC Eloïse Berthier, Justin Carpentier, Alessandro Rudi, Francis R. Bach
2022	J	`jnl`	Information Theory with Kernel Methods. CoRR Francis R. Bach
2022	A*	`conf`	Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares. COLT Blake E. Woodworth, Francis R. Bach, Alessandro Rudi
2022	J	`jnl`	Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares. CoRR Blake E. Woodworth, Francis R. Bach, Alessandro Rudi
2022	J	`jnl`	On a Variance Reduction Correction of the Temporal Difference for Policy Evaluation in the Stochastic Continuous Setting. CoRR Ziad Kobeissi, Francis R. Bach
2022	A	`conf`	On the Consistency of Max-Margin Losses. AISTATS Alex Nowak, Alessandro Rudi, Francis R. Bach
2022	A*	`conf`	On the Theoretical Properties of Noise Correlation in Stochastic Optimization. NeurIPS Aurélien Lucchi, Frank Proske, Antonio Orvieto, Francis R. Bach, Hans Kersting
2022	J	`jnl`	On the Theoretical Properties of Noise Correlation in Stochastic Optimization. CoRR Aurélien Lucchi, Frank Proske, Antonio Orvieto, Francis R. Bach, Hans Kersting
2022	J	`jnl`	Polynomial-time sparse measure recovery. CoRR Hadi Daneshmand, Francis R. Bach
2022	J	`jnl`	Regression as Classification: Influence of Task Formulation on Neural Network Features. CoRR Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert
2022	A	`conf`	Sampling from Arbitrary Functions via PSD Models. AISTATS Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2022	J	`jnl`	Screening for a Reweighted Penalized Conditional Gradient Method. Open J. Math. Optim. Yifan Sun, Francis R. Bach
2022	J	`jnl`	Sum-of-Squares Relaxations for Information Theory and Variational Inference. CoRR Francis R. Bach
2022	—	`conf`	The continuous-discrete variational Kalman filter (CD-VKF). CDC Marc Lambert, Silvère Bonnabel, Francis R. Bach
2022	J	`jnl`	The recursive variational Gaussian approximation (R-VGA). Stat. Comput. Marc Lambert, Silvère Bonnabel, Francis R. Bach
2022	A*	`conf`	Variational inference via Wasserstein gradient flows. NeurIPS Marc Lambert, Sinho Chewi, Francis R. Bach, Silvère Bonnabel, Philippe Rigollet
2022	J	`jnl`	Variational inference via Wasserstein gradient flows. CoRR Marc Lambert, Sinho Chewi, Francis R. Bach, Silvère Bonnabel, Philippe Rigollet
2021	J	`jnl`	A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien B. Taylor
2021	J	`jnl`	A Continuized View on Nesterov Acceleration. CoRR Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Adrien B. Taylor
2021	A*	`conf`	A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation. COLT Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis R. Bach, François-Xavier Vialard
2021	J	`jnl`	A Note on Optimizing Distributions using Kernel Mean Embeddings. CoRR Boris Muzellec, Francis R. Bach, Alessandro Rudi
2021	J	`jnl`	An Optimal Algorithm for Decentralized Finite-Sum Optimization. SIAM J. Optim. Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2021	A*	`conf`	Batch Normalization Orthogonalizes Representations in Deep Random Networks. NeurIPS Hadi Daneshmand, Amir Joudaki, Francis R. Bach
2021	J	`jnl`	Batch Normalization Orthogonalizes Representations in Deep Random Networks. CoRR Hadi Daneshmand, Amir Joudaki, Francis R. Bach
2021	A*	`conf`	Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
2021	J	`jnl`	Convergence of Uncertainty Sampling for Active Learning. CoRR Anant Raj, Francis R. Bach
2021	A*	`conf`	Deep Equals Shallow for ReLU Networks in Kernel Regimes. ICLR Alberto Bietti, Francis R. Bach
2021	A*	`conf`	Disambiguation of Weak Supervision leading to Exponential Convergence rates. ICML Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi
2021	J	`jnl`	Disambiguation of weak supervision with exponential convergence rates. CoRR Vivien Cabannes, Francis R. Bach, Alessandro Rudi
2021	A	`conf`	Explicit Regularization of Stochastic Gradient Methods through Duality. AISTATS Anant Raj, Francis R. Bach
2021	A*	`conf`	Fast Rates for Structured Prediction. COLT Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi
2021	—	`conf`	Fast and Robust Stability Region Estimation for Nonlinear Dynamical Systems. ECC Eloïse Berthier, Justin Carpentier, Francis R. Bach
2021	J	`jnl`	Fast rates in structured prediction. CoRR Vivien Cabannes, Alessandro Rudi, Francis R. Bach
2021	J	`jnl`	Gradient Descent on Infinitely Wide Neural Networks: Global Convergence and Generalization. CoRR Francis R. Bach, Lenaïc Chizat
2021	J	`jnl`	Learning PSD-valued functions using kernel sums-of-squares. CoRR Boris Muzellec, Francis R. Bach, Alessandro Rudi
2021	J	`jnl`	Max-Margin is Dead, Long Live Max-Margin! CoRR Alex Nowak-Vila, Alessandro Rudi, Francis R. Bach
2021	J	`jnl`	Near-optimal estimation of smooth transport maps with kernel sums-of-squares. CoRR Boris Muzellec, Adrien Vacher, Francis R. Bach, François-Xavier Vialard, Alessandro Rudi
2021	J	`jnl`	On the Effectiveness of Richardson Extrapolation in Data Science. SIAM J. Math. Data Sci. Francis R. Bach
2021	A*	`conf`	Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning. NeurIPS Vivien Cabannes, Loucas Pillaud-Vivien, Francis R. Bach, Alessandro Rudi
2021	J	`jnl`	Sampling from Arbitrary Functions via PSD Models. CoRR Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2021	J	`jnl`	Screening for a Reweighted Penalized Conditional Gradient Method. CoRR Yifan Sun, Francis R. Bach
2021	J	`jnl`	Stochastic quasi-gradient methods: variance reduction via Jacobian sketching. Math. Program. Robert M. Gower, Peter Richtárik, Francis R. Bach
2020	J	`jnl`	ARIANN: Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing. CoRR Théo Ryffel, David Pointcheval, Francis R. Bach
2020	J	`jnl`	Accelerated Gossip in Networks of Given Dimension Using Jacobi Polynomial Iterations. SIAM J. Math. Data Sci. Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2020	J	`jnl`	An Optimal Algorithm for Decentralized Finite Sum Optimization. CoRR Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2020	A*	`conf`	Batch normalization provably avoids ranks collapse for randomly initialised deep networks. NeurIPS Hadi Daneshmand, Jonas Moritz Kohler, Francis R. Bach, Thomas Hofmann, Aurélien Lucchi
2020	A*	`conf`	Consistent Structured Prediction with Max-Min Margin Markov Networks. ICML Alex Nowak, Francis R. Bach, Alessandro Rudi
2020	J	`jnl`	Consistent Structured Prediction with Max-Min Margin Markov Networks. CoRR Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi
2020	J	`jnl`	Deep Equals Shallow for ReLU Networks in Kernel Regimes. CoRR Alberto Bietti, Francis R. Bach
2020	A*	`conf`	Dual-Free Stochastic Decentralized Optimization with Variance Reduction. NeurIPS Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2020	J	`jnl`	Dual-Free Stochastic Decentralized Optimization with Variance Reduction. CoRR Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2020	J	`jnl`	Explicit Regularization of Stochastic Gradient Methods through Duality. CoRR Anant Raj, Francis R. Bach
2020	J	`jnl`	Finding Global Minima via Kernel Approximations. CoRR Alessandro Rudi, Ulysse Marteau-Ferey, Francis R. Bach
2020	A*	`conf`	Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss. COLT Lénaïc Chizat, Francis R. Bach
2020	J	`jnl`	Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss. CoRR Lénaïc Chizat, Francis R. Bach
2020	A*	`conf`	Learning With Subquadratic Regularization : A Primal-Dual Approach. IJCAI Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
2020	A*	`conf`	Learning with Differentiable Pertubed Optimizers. NeurIPS Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	J	`jnl`	Learning with Differentiable Perturbed Optimizers. CoRR Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	J	`jnl`	Max-Plus Linear Approximations for Deterministic Continuous-State Markov Decision Processes. IEEE Control. Syst. Lett. Eloïse Berthier, Francis R. Bach
2020	A*	`conf`	Non-parametric Models for Non-negative Functions. NeurIPS Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2020	J	`jnl`	Non-parametric Models for Non-negative Functions. CoRR Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2020	J	`jnl`	On the Convergence of Adam and Adagrad. CoRR Alexandre Défossez, Léon Bottou, Francis R. Bach, Nicolas Usunier
2020	J	`jnl`	On the Effectiveness of Richardson Extrapolation in Machine Learning. CoRR Francis R. Bach
2020	J	`jnl`	Principled Analyses and Design of First-Order Methods with Inexact Proximal Operators. CoRR Mathieu Barré, Adrien B. Taylor, Francis R. Bach
2020	J	`jnl`	Regularized nonlinear acceleration. Math. Program. Damien Scieur, Alexandre d'Aspremont, Francis R. Bach
2020	J	`jnl`	Safe Screening for the Generalized Conditional Gradient Method. CoRR Yifan Sun, Francis R. Bach
2020	A	`conf`	Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions. AISTATS Loucas Pillaud-Vivien, Francis R. Bach, Tony Lelièvre, Alessandro Rudi, Gabriel Stoltz
2020	A*	`conf`	Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. ICML Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié
2020	J	`jnl`	Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. CoRR Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié
2020	A*	`conf`	Stochastic Optimization for Regularized Wasserstein Estimators. ICML Marin Ballu, Quentin Berthet, Francis R. Bach
2020	J	`jnl`	Stochastic Optimization for Regularized Wasserstein Estimators. CoRR Marin Ballu, Quentin Berthet, Francis R. Bach
2020	A*	`conf`	Structured Prediction with Partial Labelling through the Infimum Loss. ICML Vivien Cabannes, Alessandro Rudi, Francis R. Bach
2020	J	`jnl`	Structured Prediction with Partial Labelling through the Infimum Loss. CoRR Vivien Cabannes, Alessandro Rudi, Francis R. Bach
2020	J	`jnl`	Structured and Localized Image Restoration. CoRR Thomas Eboli, Alex Nowak-Vila, Jian Sun, Francis R. Bach, Jean Ponce, Alessandro Rudi
2020	J	`jnl`	Theoretical Understanding of Batch-normalization: A Markov Chain Perspective. CoRR Hadi Daneshmand, Jonas Moritz Kohler, Francis R. Bach, Thomas Hofmann, Aurélien Lucchi
2020	A*	`conf`	Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. NeurIPS Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2020	J	`jnl`	Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. CoRR Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2020	J	`jnl`	Variance-Reduced Methods for Machine Learning. CoRR Robert M. Gower, Mark Schmidt, Francis R. Bach, Peter Richtárik
2020	J	`jnl`	Variance-Reduced Methods for Machine Learning. Proc. IEEE Robert M. Gower, Mark Schmidt, Francis R. Bach, Peter Richtárik
2019	J	`jnl`	A General Theory for Structured Prediction with Smooth Convex Surrogates. CoRR Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi
2019	A*	`conf`	A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise. COLT Francis R. Bach, Kfir Y. Levy
2019	J	`jnl`	A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise. CoRR Francis R. Bach, Kfir Y. Levy
2019	A	`conf`	Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. AISTATS Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2019	A*	`conf`	An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. NeurIPS Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2019	J	`jnl`	An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. CoRR Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2019	J	`jnl`	Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums. CoRR Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
2019	A*	`conf`	Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. COLT Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis R. Bach, Alessandro Rudi
2019	J	`jnl`	Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. CoRR Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis R. Bach, Alessandro Rudi
2019	J	`jnl`	Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed. CoRR Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
2019	J	`jnl`	Efficient Primal-Dual Algorithms for Large-Scale Multiclass Classification. CoRR Dmitry Babichev, Dmitrii Ostrovskii, Francis R. Bach
2019	A*	`conf`	Fast Decomposable Submodular Function Minimization using Constrained Total Variation. NeurIPS Senanayak Sesh Kumar Karri, Francis R. Bach, Thomas Pock
2019	J	`jnl`	Fast Decomposable Submodular Function Minimization using Constrained Total Variation. CoRR Senanayak Sesh Kumar Karri, Francis R. Bach, Thomas Pock
2019	A	`conf`	Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron. AISTATS Sharan Vaswani, Francis R. Bach, Mark Schmidt
2019	A*	`conf`	Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses. NeurIPS Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2019	J	`jnl`	Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses. CoRR Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi
2019	Misc	`conf`	Hyper-parameter Learning for Sparse Structured Probabilistic Models. ICASSP Tatiana Shpakova, Francis R. Bach, Mike E. Davies
2019	J	`jnl`	Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks. CoRR Gauthier Gidel, Francis R. Bach, Simon Lacoste-Julien
2019	A*	`conf`	Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks. NeurIPS Gauthier Gidel, Francis R. Bach, Simon Lacoste-Julien
2019	A*	`conf`	Localized Structured Prediction. NeurIPS Carlo Ciliberto, Francis R. Bach, Alessandro Rudi
2019	A*	`conf`	Massively scalable Sinkhorn distances via the Nyström method. NeurIPS Jason M. Altschuler, Francis R. Bach, Alessandro Rudi, Jonathan Niles-Weed
2019	J	`jnl`	Max-Plus Matching Pursuit for Deterministic Markov Decision Processes. CoRR Francis R. Bach
2019	J	`jnl`	Music Source Separation in the Waveform Domain. CoRR Alexandre Défossez, Nicolas Usunier, Léon Bottou, Francis R. Bach
2019	A*	`conf`	On Lazy Training in Differentiable Programming. NeurIPS Lénaïc Chizat, Edouard Oyallon, Francis R. Bach
2019	J	`jnl`	Optimal Convergence Rates for Convex Distributed Optimization in Networks. J. Mach. Learn. Res. Kevin Scaman, Francis R. Bach, Sébastien Bubeck, Yin Tat Lee, Laurent Massoulié
2019	A	`conf`	Overcomplete Independent Component Analysis via SDP. AISTATS Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag
2019	J	`jnl`	Overcomplete Independent Component Analysis via SDP. CoRR Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein, Francis R. Bach, Alexandre d'Aspremont, David A. Sontag
2019	A*	`conf`	Partially Encrypted Deep Learning using Functional Encryption. NeurIPS Théo Ryffel, David Pointcheval, Francis R. Bach, Edouard Dufour-Sans, Romain Gay
2019	J	`jnl`	Partially Encrypted Machine Learning using Functional Encryption. CoRR Théo Ryffel, Edouard Dufour Sans, Romain Gay, Francis R. Bach, David Pointcheval
2019	A	`conf`	Sample Complexity of Sinkhorn Divergences. AISTATS Aude Genevay, Lénaïc Chizat, Francis R. Bach, Marco Cuturi, Gabriel Peyré
2019	A	`conf`	Sharp Analysis of Learning with Discrete Losses. AISTATS Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi
2019	J	`jnl`	Sparse Recovery and Dictionary Learning From Nonlinear Compressive Measurements. IEEE Trans. Signal Process. Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley
2019	A	`conf`	Stochastic algorithms with descent guarantees for ICA. AISTATS Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis R. Bach
2019	A*	`conf`	Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions. COLT Adrien B. Taylor, Francis R. Bach
2019	J	`jnl`	Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions. CoRR Adrien B. Taylor, Francis R. Bach
2019	J	`jnl`	Submodular functions: from discrete to continuous domains. Math. Program. Francis R. Bach
2019	A*	`conf`	Towards closing the gap between the theory and practice of SVRG. NeurIPS Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis R. Bach, Robert M. Gower
2019	J	`jnl`	Towards closing the gap between the theory and practice of SVRG. CoRR Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi, Francis R. Bach, Robert M. Gower
2019	A*	`conf`	UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. NeurIPS Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher
2019	J	`jnl`	UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization. CoRR Ali Kavis, Kfir Y. Levy, Francis R. Bach, Volkan Cevher
2019	A*	`conf`	Unsupervised Image Matching and Object Discovery as Optimization. CVPR Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
2019	J	`jnl`	Unsupervised Image Matching and Object Discovery as Optimization. CoRR Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
2018	A	`conf`	A Generic Approach for Escaping Saddle points. AISTATS Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabás Póczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola
2018	J	`jnl`	A Note on Lazy Training in Supervised Differentiable Programming. CoRR Lénaïc Chizat, Francis R. Bach
2018	J	`jnl`	Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. CoRR Hadrien Hendrikx, Laurent Massoulié, Francis R. Bach
2018	J	`jnl`	Approximating the Quadratic Transportation Metric in Near-Linear Time. CoRR Jason M. Altschuler, Francis R. Bach, Alessandro Rudi, Jonathan Weed
2018	A*	`conf`	Averaging Stochastic Gradient Descent on Riemannian Manifolds. COLT Nilesh Tripuraneni, Nicolas Flammarion, Francis R. Bach, Michael I. Jordan
2018	J	`jnl`	Averaging Stochastic Gradient Descent on Riemannian Manifolds. CoRR Nilesh Tripuraneni, Nicolas Flammarion, Francis R. Bach, Michael I. Jordan
2018	A	`conf`	Combinatorial Penalties: Which structures are preserved by convex relaxations? AISTATS Marwa El Halabi, Francis R. Bach, Volkan Cevher
2018	—	`conf`	Consistent Dictionary Learning for Signal Declipping. LVA/ICA Lucas Rencker, Francis R. Bach, Wenwu Wang, Mark D. Plumbley
2018	A	`conf`	Constant Step Size Stochastic Gradient Descent for Probabilistic Modeling. UAI Dmitry Babichev, Francis R. Bach
2018	J	`jnl`	Constant Step Size Stochastic Gradient Descent for Probabilistic Modeling. CoRR Dmitry Babichev, Francis R. Bach
2018	A	`conf`	Convex Optimization over Intersection of Simple Sets: improved Convergence Rate Guarantees via an Exact Penalty Approach. AISTATS Achintya Kundu, Francis R. Bach, Chiranjib Bhattacharyya
2018	J	`jnl`	EM algorithms for ICA. CoRR Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis R. Bach
2018	A*	`conf`	Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization. NeurIPS Francis R. Bach
2018	—	`conf`	End-to-End Active Learning for Computer Security Experts. AAAI Workshops Anaël Beaugnon, Pierre Chifflier, Francis R. Bach
2018	A*	`conf`	Exponential Convergence of Testing Error for Stochastic Gradient Methods. COLT Loucas Pillaud-Vivien, Alessandro Rudi, Francis R. Bach
2018	J	`jnl`	Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron. CoRR Sharan Vaswani, Francis R. Bach, Mark Schmidt
2018	J	`jnl`	Gossip of Statistical Observations using Orthogonal Polynomials. CoRR Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2018	A	`conf`	Learning Determinantal Point Processes in Sublinear Time. AISTATS Christophe Dupuy, Francis R. Bach
2018	J	`jnl`	Localized Structured Prediction. CoRR Carlo Ciliberto, Francis R. Bach, Alessandro Rudi
2018	A	`conf`	Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. UAI Tatiana Shpakova, Francis R. Bach, Anton Osokin
2018	J	`jnl`	Marginal Weighted Maximum Log-likelihood for Efficient Learning of Perturb-and-Map models. CoRR Tatiana Shpakova, Francis R. Bach, Anton Osokin
2018	J	`jnl`	Massively scalable Sinkhorn distances via the Nyström method. CoRR Jason M. Altschuler, Francis R. Bach, Alessandro Rudi, Jonathan Weed
2018	—	`conf`	Nonlinear Acceleration of CNNs. ICLR (Workshop) Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
2018	J	`jnl`	Nonlinear Acceleration of CNNs. CoRR Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
2018	J	`jnl`	Nonlinear Acceleration of Deep Neural Networks. CoRR Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
2018	A*	`conf`	On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport. NeurIPS Lénaïc Chizat, Francis R. Bach
2018	J	`jnl`	On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport. CoRR Lenaïc Chizat, Francis R. Bach
2018	A*	`conf`	Optimal Algorithms for Non-Smooth Distributed Optimization in Networks. NeurIPS Kevin Scaman, Francis R. Bach, Sébastien Bubeck, Laurent Massoulié, Yin Tat Lee
2018	A*	`conf`	Relating Leverage Scores and Density using Regularized Christoffel Functions. NeurIPS Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert
2018	J	`jnl`	Relating Leverage Scores and Density using Regularized Christoffel Functions. CoRR Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert
2018	A*	`conf`	Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes. NeurIPS Junqi Tang, Mohammad Golbabaee, Francis R. Bach, Mike E. Davies
2018	A*	`conf`	SING: Symbol-to-Instrument Neural Generator. NeurIPS Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach
2018	J	`jnl`	SING: Symbol-to-Instrument Neural Generator. CoRR Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach
2018	J	`jnl`	Sharp Analysis of Learning with Discrete Losses. CoRR Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi
2018	A*	`conf`	Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes. NeurIPS Loucas Pillaud-Vivien, Alessandro Rudi, Francis R. Bach
2018	J	`jnl`	Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes. CoRR Loucas Pillaud-Vivien, Alessandro Rudi, Francis R. Bach
2018	A	`conf`	Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods. AISTATS Robert M. Gower, Nicolas Le Roux, Francis R. Bach
2017	J	`jnl`	A Generic Approach for Escaping Saddle points. CoRR Sashank J. Reddi, Manzil Zaheer, Suvrit Sra, Barnabás Póczos, Francis R. Bach, Ruslan Salakhutdinov, Alexander J. Smola
2017	A	`conf`	A Quantitative Measure of the Impact of Coarticulation on Phone Discriminability. INTERSPEECH Thomas Schatz, Rory Turnbull, Francis R. Bach, Emmanuel Dupoux
2017	B	`conf`	ASR Systems as Models of Phonetic Category Perception in Adults. CogSci Thomas Schatz, Francis R. Bach, Emmanuel Dupoux
2017	J	`jnl`	Active-set Methods for Submodular Minimization Problems. J. Mach. Learn. Res. K. S. Sesh Kumar, Francis R. Bach
2017	J	`jnl`	AdaBatch: Efficient Gradient Aggregation Rules for Sequential and Parallel Stochastic Gradient Methods. CoRR Alexandre Défossez, Francis R. Bach
2017	J	`jnl`	Breaking the Curse of Dimensionality with Convex Neural Networks. J. Mach. Learn. Res. Francis R. Bach
2017	J	`jnl`	Combinatorial Penalties: Which structures are preserved by convex relaxations? CoRR Marwa El Halabi, Francis R. Bach, Volkan Cevher
2017	J	`jnl`	Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization. CoRR Francis R. Bach
2017	J	`jnl`	Erratum to: Minimizing finite sums with the stochastic average gradient. Math. Program. Mark Schmidt, Nicolas Le Roux, Francis R. Bach
2017	J	`jnl`	Exponential convergence of testing error for stochastic gradient methods. CoRR Loucas Pillaud-Vivien, Alessandro Rudi, Francis R. Bach
2017	J	`jnl`	Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression. J. Mach. Learn. Res. Aymeric Dieuleveut, Nicolas Flammarion, Francis R. Bach
2017	A	`conf`	ILAB: An Interactive Labelling Strategy for Intrusion Detection. RAID Anaël Beaugnon, Pierre Chifflier, Francis R. Bach
2017	A	`conf`	Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted L AISTATS Raman Sankaran, Francis R. Bach, Chiranjib Bhattacharyya
2017	—	`conf`	Integration Methods and Optimization Algorithms. NIPS Damien Scieur, Vincent Roulet, Francis R. Bach, Alexandre d'Aspremont
2017	A*	`conf`	Kernel Square-Loss Exemplar Machines for Image Retrieval. CVPR Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis R. Bach, Patrick Pérez
2017	J	`jnl`	Minimizing finite sums with the stochastic average gradient. Math. Program. Mark Schmidt, Nicolas Le Roux, Francis R. Bach
2017	—	`conf`	Nonlinear Acceleration of Stochastic Algorithms. NIPS Damien Scieur, Francis R. Bach, Alexandre d'Aspremont
2017	—	`conf`	On Structured Prediction Theory with Calibrated Convex Surrogate Losses. NIPS Anton Osokin, Francis R. Bach, Simon Lacoste-Julien
2017	J	`jnl`	On Structured Prediction Theory with Calibrated Convex Surrogate Losses. CoRR Anton Osokin, Francis R. Bach, Simon Lacoste-Julien
2017	J	`jnl`	On the Consistency of Ordinal Regression Methods. J. Mach. Learn. Res. Fabian Pedregosa, Francis R. Bach, Alexandre Gramfort
2017	J	`jnl`	On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions. J. Mach. Learn. Res. Francis R. Bach
2017	J	`jnl`	Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling. J. Mach. Learn. Res. Christophe Dupuy, Francis R. Bach
2017	A*	`conf`	Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks. ICML Kevin Scaman, Francis R. Bach, Sébastien Bubeck, Yin Tat Lee, Laurent Massoulié
2017	Misc	`conf`	Primal-dual algorithms for non-negative matrix factorization with the Kullback-Leibler divergence. ICASSP Felipe Yanez, Francis R. Bach
2017	—	`conf`	Qualitative and Descriptive Topic Extraction from Movie Reviews Using LDA. MLDM Christophe Dupuy, Francis R. Bach, Christophe Diot
2017	J	`jnl`	Robust Discriminative Clustering with Sparse Regularizers. J. Mach. Learn. Res. Nicolas Flammarion, Balamurugan Palaniappan, Francis R. Bach
2017	A*	`conf`	Stochastic Composite Least-Squares Regression with Convergence Rate $O(1/n)$. COLT Nicolas Flammarion, Francis R. Bach
2017	J	`jnl`	Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods. CoRR Robert M. Gower, Nicolas Le Roux, Francis R. Bach
2016	Misc	`conf`	A weakly-supervised discriminative model for audio-to-score alignment. ICASSP Rémi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis R. Bach
2016	A*	`conf`	Beyond CCA: Moment Matching for Multi-View Models. ICML Anastasia Podosinnikova, Francis R. Bach, Simon Lacoste-Julien
2016	J	`jnl`	Beyond CCA: Moment Matching for Multi-View Models. CoRR Anastasia Podosinnikova, Francis R. Bach, Simon Lacoste-Julien
2016	—	`conf`	Exploiting Crowd Sourced Reviews to Explain Movie Recommendation. NETYS Sara El Aouad, Christophe Dupuy, Renata Teixeira, Francis R. Bach, Christophe Diot
2016	J	`jnl`	Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression. CoRR Aymeric Dieuleveut, Nicolas Flammarion, Francis R. Bach
2016	J	`jnl`	Highly-Smooth Zero-th Order Online Optimization Vianney Perchet. CoRR Francis R. Bach, Vianney Perchet
2016	A*	`conf`	Highly-Smooth Zero-th Order Online Optimization. COLT Francis R. Bach, Vianney Perchet
2016	J	`jnl`	Learning Determinantal Point Processes in Sublinear Time. CoRR Christophe Dupuy, Francis R. Bach
2016	J	`jnl`	Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling. CoRR Christophe Dupuy, Francis R. Bach
2016	—	`conf`	PAC-Bayesian Theory Meets Bayesian Inference. NIPS Pascal Germain, Francis R. Bach, Alexandre Lacoste, Simon Lacoste-Julien
2016	J	`jnl`	PAC-Bayesian Theory Meets Bayesian Inference. CoRR Pascal Germain, Francis R. Bach, Alexandre Lacoste, Simon Lacoste-Julien
2016	—	`conf`	Parameter Learning for Log-supermodular Distributions. NIPS Tatiana Shpakova, Francis R. Bach
2016	J	`jnl`	Parameter Learning for Log-supermodular Distributions. CoRR Tatiana Shpakova, Francis R. Bach
2016	—	`conf`	Regularized Nonlinear Acceleration. NIPS Damien Scieur, Alexandre d'Aspremont, Francis R. Bach
2016	J	`jnl`	Robust Discriminative Clustering with Sparse Regularizers. CoRR Nicolas Flammarion, Balamurugan Palaniappan, Francis R. Bach
2016	—	`conf`	Stochastic Optimization for Large-scale Optimal Transport. NIPS Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach
2016	J	`jnl`	Stochastic Optimization for Large-scale Optimal Transport. CoRR Aude Genevay, Marco Cuturi, Gabriel Peyré, Francis R. Bach
2016	—	`conf`	Stochastic Variance Reduction Methods for Saddle-Point Problems. NIPS P. Balamurugan, Francis R. Bach
2016	J	`jnl`	Stochastic Variance Reduction Methods for Saddle-Point Problems. CoRR P. Balamurugan, Francis R. Bach
2015	Misc	`conf`	An online EM algorithm in hidden (semi-)Markov models for audio segmentation and clustering. ICASSP Alberto Bietti, Francis R. Bach, Arshia Cont
2015	A	`conf`	Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions. AISTATS Alexandre Défossez, Francis R. Bach
2015	J	`jnl`	Convex Optimization for Parallel Energy Minimization. CoRR K. S. Sesh Kumar, Álvaro Barbero Jiménez, Stefanie Jegelka, Suvrit Sra, Francis R. Bach
2015	J	`jnl`	Convex Relaxations for Permutation Problems. SIAM J. Matrix Anal. Appl. Fajwel Fogel, Rodolphe Jenatton, Francis R. Bach, Alexandre d'Aspremont
2015	J	`jnl`	Duality Between Subgradient and Conditional Gradient Methods. SIAM J. Optim. Francis R. Bach
2015	A*	`conf`	From Averaging to Acceleration, There is Only a Step-size. COLT Nicolas Flammarion, Francis R. Bach
2015	J	`jnl`	Guest Editorial: Sparse Coding. Int. J. Comput. Vis. Julien Mairal, Michael Elad, Francis R. Bach
2015	J	`jnl`	Learning the Structure for Structured Sparsity. IEEE Trans. Signal Process. Nino Shervashidze, Francis R. Bach
2015	J	`jnl`	On the Equivalence between Quadrature Rules and Random Features. CoRR Francis R. Bach
2015	A*	`ed.`	Proceedings of the 32nd International Conference on Machine Learning, ICML 2015, Lille, France, 6-11 July 2015 ICML Francis R. Bach, David M. Blei
2015	—	`conf`	Rethinking LDA: Moment Matching for Discrete ICA. NIPS Anastasia Podosinnikova, Francis R. Bach, Simon Lacoste-Julien
2015	J	`jnl`	Rethinking LDA: moment matching for discrete ICA. CoRR Anastasia Podosinnikova, Francis R. Bach, Simon Lacoste-Julien
2015	J	`jnl`	Sample Complexity of Dictionary Learning and Other Matrix Factorizations. IEEE Trans. Inf. Theory Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert
2015	J	`jnl`	Semidefinite and Spectral Relaxations for Multi-Label Classification. CoRR Rémi Lajugie, Piotr Bojanowski, Sylvain Arlot, Francis R. Bach
2015	A	`conf`	Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering. AISTATS Simon Lacoste-Julien, Fredrik Lindsten, Francis R. Bach
2015	J	`jnl`	Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering. CoRR Simon Lacoste-Julien, Fredrik Lindsten, Francis R. Bach
2015	J	`jnl`	Sparse and Spurious: Dictionary Learning With Noise and Outliers. IEEE Trans. Inf. Theory Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
2015	—	`conf`	Spectral Norm Regularization of Orthonormal Representations for Graph Transduction. NIPS Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis R. Bach
2015	J	`jnl`	Submodular Functions: from Discrete to Continous Domains. CoRR Francis R. Bach
2015	J	`jnl`	Supervised Clustering in the Data Cube. CoRR Vincent Roulet, Fajwel Fogel, Alexandre d'Aspremont, Francis R. Bach
2015	J	`jnl`	Weakly-Supervised Alignment of Video With Text. CoRR Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid
2015	A*	`conf`	Weakly-Supervised Alignment of Video with Text. ICCV Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid
2014	B	`conf`	A Markovian approach to distributional semantics with application to semantic compositionality. COLING Edouard Grave, Guillaume Obozinski, Francis R. Bach
2014	J	`jnl`	Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression. J. Mach. Learn. Res. Francis R. Bach
2014	J	`jnl`	Approximation bounds for sparse principal component analysis. Math. Program. Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
2014	J	`jnl`	Breaking the Curse of Dimensionality with Convex Neural Networks. CoRR Francis R. Bach
2014	J	`jnl`	Constant Step Size Least-Mean-Square: Bias-Variance Trade-offs and Optimal Sampling Distributions. CoRR Alexandre Défossez, Francis R. Bach
2014	A	`conf`	Evaluating speech features with the minimal-pair ABX task (II): resistance to noise. INTERSPEECH Thomas Schatz, Vijayaditya Peddinti, Xuan-Nga Cao, Francis R. Bach, Hynek Hermansky, Emmanuel Dupoux
2014	A*	`conf`	Large-Margin Metric Learning for Constrained Partitioning Problems. ICML Rémi Lajugie, Francis R. Bach, Sylvain Arlot
2014	—	`conf`	Metric Learning for Temporal Sequence Alignment. NIPS Rémi Lajugie, Damien Garreau, Francis R. Bach, Sylvain Arlot
2014	J	`jnl`	Metric Learning for Temporal Sequence Alignment. CoRR Damien Garreau, Rémi Lajugie, Sylvain Arlot, Francis R. Bach
2014	J	`jnl`	On the Consistency of Ordinal Regression Methods. CoRR Fabian Pedregosa, Francis R. Bach, Alexandre Gramfort
2014	—	`conf`	On the sample complexity of sparse dictionary learning. SSP Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
2014	J	`jnl`	Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence. CoRR Felipe Yanez, Francis R. Bach
2014	—	`conf`	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives. NIPS Aaron Defazio, Francis R. Bach, Simon Lacoste-Julien
2014	J	`jnl`	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives. CoRR Aaron Defazio, Francis R. Bach, Simon Lacoste-Julien
2014	J	`jnl`	SegAnnDB: interactive Web-based genomic segmentation. Bioinform. Toby Dylan Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Olivier Delattre, Wilfrid Richer, Franck Bourdeaut, Miyuki Suguro, Masao Seto, Francis R. Bach, Jean-Philippe Vert
2014	J	`jnl`	Signal Processing for Big Data [From the Guest Editors]. IEEE Signal Process. Mag. Georgios B. Giannakis, Francis R. Bach, Raphael Cendrillon, Michael W. Mahoney, Jennifer Neville
2014	J	`jnl`	Sparse Modeling for Image and Vision Processing. CoRR Julien Mairal, Francis R. Bach, Jean Ponce
2014	J	`jnl`	Sparse Modeling for Image and Vision Processing. Found. Trends Comput. Graph. Vis. Julien Mairal, Francis R. Bach, Jean Ponce
2014	J	`jnl`	Sparse and spurious: dictionary learning with noise and outliers. CoRR Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
2014	J	`jnl`	Weakly Supervised Action Labeling in Videos Under Ordering Constraints. CoRR Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic
2014	—	`conf`	Weakly Supervised Action Labeling in Videos under Ordering Constraints. ECCV (5) Piotr Bojanowski, Rémi Lajugie, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic
2013	J	`jnl`	Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression CoRR Francis R. Bach
2013	—	`conf`	Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs. ICML (1) K. S. Sesh Kumar, Francis R. Bach
2013	—	`conf`	Convex Relaxations for Permutation Problems. NIPS Fajwel Fogel, Rodolphe Jenatton, Francis R. Bach, Alexandre d'Aspremont
2013	J	`jnl`	Convex relaxations of structured matrix factorizations. CoRR Francis R. Bach
2013	J	`jnl`	Domain adaptation for sequence labeling using hidden Markov models. CoRR Edouard Grave, Guillaume Obozinski, Francis R. Bach
2013	A	`conf`	Evaluating speech features with the minimal-pair ABX task: analysis of the classical MFC/PLP pipeline. INTERSPEECH Thomas Schatz, Vijayaditya Peddinti, Francis R. Bach, Aren Jansen, Hynek Hermansky, Emmanuel Dupoux
2013	A*	`conf`	Finding Actors and Actions in Movies. ICCV Piotr Bojanowski, Francis R. Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid, Josef Sivic
2013	B	`conf`	Hidden Markov tree models for semantic class induction. CoNLL Edouard Grave, Guillaume Obozinski, Francis R. Bach
2013	—	`conf`	Intersecting singularities for multi-structured estimation. ICML (3) Emile Richard, Francis R. Bach, Jean-Philippe Vert
2013	J	`jnl`	Kernel-Based Methods for Hypothesis Testing: A Unified View. IEEE Signal Process. Mag. Zaïd Harchaoui, Francis R. Bach, Olivier Cappé, Eric Moulines
2013	J	`jnl`	Large-Margin Metric Learning for Partitioning Problems CoRR Rémi Lajugie, Sylvain Arlot, Francis R. Bach
2013	—	`conf`	Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression. ICML (3) Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis R. Bach
2013	J	`jnl`	Learning smoothing models of copy number profiles using breakpoint annotations. BMC Bioinform. Toby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Valentina Boeva, Julie Cappo, Olivier Delattre, Francis R. Bach, Jean-Philippe Vert
2013	J	`jnl`	Learning with Submodular Functions: A Convex Optimization Perspective. Found. Trends Mach. Learn. Francis R. Bach
2013	A*	`conf`	Local Component Analysis ICLR (Poster) Nicolas Le Roux, Francis R. Bach
2013	J	`jnl`	Low-Rank Optimization with Trace Norm Penalty. SIAM J. Optim. Bamdev Mishra, Gilles Meyer, Francis R. Bach, Rodolphe Sepulchre
2013	J	`jnl`	Maximizing submodular functions using probabilistic graphical models. CoRR K. S. Sesh Kumar, Francis R. Bach
2013	J	`jnl`	Minimizing Finite Sums with the Stochastic Average Gradient. CoRR Mark Schmidt, Nicolas Le Roux, Francis R. Bach
2013	—	`conf`	Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n). NIPS Francis R. Bach, Eric Moulines
2013	J	`jnl`	Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n). CoRR Francis R. Bach, Eric Moulines
2013	—	`conf`	Reflection methods for user-friendly submodular optimization. NIPS Stefanie Jegelka, Francis R. Bach, Suvrit Sra
2013	J	`jnl`	Reflection methods for user-friendly submodular optimization. CoRR Stefanie Jegelka, Francis R. Bach, Suvrit Sra
2013	J	`jnl`	Sample Complexity of Dictionary Learning and other Matrix Factorizations. CoRR Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert
2013	A*	`conf`	Sharp analysis of low-rank kernel matrix approximations. COLT Francis R. Bach
2013	A*	`conf`	Structured Penalties for Log-Linear Language Models. EMNLP Anil Kumar Nelakanti, Cédric Archambeau, Julien Mairal, Francis R. Bach, Guillaume Bouchard
2013	J	`jnl`	Tree-dependent Component Analysis CoRR Francis R. Bach, Michael I. Jordan
2012	—	`conf`	A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets. NIPS Nicolas Le Roux, Mark Schmidt, Francis R. Bach
2012	J	`jnl`	A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets CoRR Nicolas Le Roux, Mark Schmidt, Francis R. Bach
2012	A*	`conf`	A convex relaxation for weakly supervised classifiers. ICML Armand Joulin, Francis R. Bach
2012	J	`jnl`	A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method CoRR Simon Lacoste-Julien, Mark Schmidt, Francis R. Bach
2012	J	`jnl`	Convex Relaxation for Combinatorial Penalties CoRR Guillaume Obozinski, Francis R. Bach
2012	J	`jnl`	Convex Relaxations for Learning Bounded Treewidth Decomposable Graphs CoRR K. S. Sesh Kumar, Francis R. Bach
2012	J	`jnl`	Duality between subgradient and conditional gradient methods CoRR Francis R. Bach
2012	J	`jnl`	Local stability and robustness of sparse dictionary learning in the presence of noise CoRR Rodolphe Jenatton, Rémi Gribonval, Francis R. Bach
2012	A*	`conf`	Multi-class cosegmentation. CVPR Armand Joulin, Francis R. Bach, Jean Ponce
2012	J	`jnl`	Multi-task regression using minimal penalties. J. Mach. Learn. Res. Matthieu Solnon, Sylvain Arlot, Francis R. Bach
2012	J	`jnl`	Multiple Operator-valued Kernel Learning CoRR Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
2012	—	`conf`	Multiple Operator-valued Kernel Learning. NIPS Hachem Kadri, Alain Rakotomamonjy, Francis R. Bach, Philippe Preux
2012	J	`jnl`	Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity. SIAM J. Imaging Sci. Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Evelyn Eger, Francis R. Bach, Bertrand Thirion
2012	J	`jnl`	On the Equivalence between Herding and Conditional Gradient Algorithms CoRR Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski
2012	A*	`conf`	On the Equivalence between Herding and Conditional Gradient Algorithms. ICML Francis R. Bach, Simon Lacoste-Julien, Guillaume Obozinski
2012	J	`jnl`	Optimization with Sparsity-Inducing Penalties. Found. Trends Mach. Learn. Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2012	—	`conf`	Semi-supervised NMF with Time-frequency Annotations for Single-channel Source Separation. ISMIR Augustin Lefèvre, Francis R. Bach, Cédric Févotte
2012	J	`jnl`	Sharp analysis of low-rank kernel matrix approximations CoRR Francis R. Bach
2012	—	`conf`	Structured Sparsity and Convex Optimization. ICPRAM (1) Francis R. Bach
2012	J	`jnl`	Task-Driven Dictionary Learning. IEEE Trans. Pattern Anal. Mach. Intell. Julien Mairal, Francis R. Bach, Jean Ponce
2011	J	`jnl`	A Tensor-Based Algorithm for High-Order Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. Olivier Duchenne, Francis R. Bach, In-So Kweon, Jean Ponce
2011	A*	`conf`	Ask the locals: Multi-way local pooling for image recognition. ICCV Y-Lan Boureau, Nicolas Le Roux, Francis R. Bach, Jean Ponce, Yann LeCun
2011	A*	`conf`	Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin
2011	J	`jnl`	Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization CoRR Mark Schmidt, Nicolas Le Roux, Francis R. Bach
2011	—	`conf`	Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization. NIPS Mark Schmidt, Nicolas Le Roux, Francis R. Bach
2011	J	`jnl`	Convex and Network Flow Optimization for Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Convex and Network Flow Optimization for Structured Sparsity. J. Mach. Learn. Res. Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Dictionary Learning for Deblurring and Digital Zoom CoRR Florent Couzinie-Devy, Julien Mairal, Francis R. Bach, Jean Ponce
2011	Misc	`conf`	Itakura-Saito nonnegative matrix factorization with group sparsity. ICASSP Augustin Lefèvre, Francis R. Bach, Cédric Févotte
2011	J	`jnl`	Learning Hierarchical and Topographic Dictionaries with Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2011	J	`jnl`	Learning with Submodular Functions: A Convex Optimization Perspective CoRR Francis R. Bach
2011	J	`jnl`	Low-rank optimization with trace norm penalty CoRR Bamdev Mishra, Gilles Meyer, Francis R. Bach, Rodolphe Sepulchre
2011	—	`conf`	Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity. PRNI Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel, Guillaume Obozinski, Francis R. Bach, Bertrand Thirion
2011	—	`conf`	Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning. NIPS Francis R. Bach, Eric Moulines
2011	—	`conf`	Online algorithms for nonnegative matrix factorization with the Itakura-Saito divergence. WASPAA Augustin Lefèvre, Francis R. Bach, Cédric Févotte
2011	J	`jnl`	Optimization with Sparsity-Inducing Penalties CoRR Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2011	J	`jnl`	Preface. Math. Program. Alexandre d'Aspremont, Francis R. Bach, Inderjit S. Dhillon, Bin Yu
2011	J	`jnl`	Proximal Methods for Hierarchical Sparse Coding. J. Mach. Learn. Res. Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
2011	—	`conf`	Shaping Level Sets with Submodular Functions. NIPS Francis R. Bach
2011	J	`jnl`	Sparse Image Representation with Epitomes CoRR Louise Benoît, Julien Mairal, Francis R. Bach, Jean Ponce
2011	A*	`conf`	Sparse image representation with epitomes. CVPR Louise Benoît, Julien Mairal, Francis R. Bach, Jean Ponce
2011	J	`jnl`	Structured Variable Selection with Sparsity-Inducing Norms. J. Mach. Learn. Res. Rodolphe Jenatton, Jean-Yves Audibert, Francis R. Bach
2011	J	`jnl`	Structured sparsity through convex optimization CoRR Francis R. Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski
2011	J	`jnl`	Trace Lasso: a trace norm regularization for correlated designs CoRR Edouard Grave, Guillaume Obozinski, Francis R. Bach
2011	—	`conf`	Trace Lasso: a trace norm regularization for correlated designs. NIPS Edouard Grave, Guillaume Obozinski, Francis R. Bach
2010	J	`jnl`	Convex Analysis and Optimization with Submodular Functions: a Tutorial CoRR Francis R. Bach
2010	J	`jnl`	Convex Relaxations for Subset Selection CoRR Francis R. Bach, Selin Damla Ahipasaoglu, Alexandre d'Aspremont
2010	A*	`conf`	Discriminative clustering for image co-segmentation. CVPR Armand Joulin, Francis R. Bach, Jean Ponce
2010	—	`conf`	Efficient Optimization for Discriminative Latent Class Models. NIPS Armand Joulin, Francis R. Bach, Jean Ponce
2010	A*	`conf`	Learning mid-level features for recognition. CVPR Y-Lan Boureau, Francis R. Bach, Yann LeCun, Jean Ponce
2010	J	`jnl`	Low-Rank Optimization on the Cone of Positive Semidefinite Matrices. SIAM J. Optim. Michel Journée, Francis R. Bach, Pierre-Antoine Absil, Rodolphe Sepulchre
2010	—	`conf`	Many-to-Many Graph Matching: A Continuous Relaxation Approach. ECML/PKDD (3) Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2010	J	`jnl`	Many-to-Many Graph Matching: a Continuous Relaxation Approach CoRR Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2010	J	`jnl`	Network Flow Algorithms for Structured Sparsity CoRR Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2010	—	`conf`	Network Flow Algorithms for Structured Sparsity. NIPS Julien Mairal, Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2010	—	`conf`	Online Learning for Latent Dirichlet Allocation. NIPS Matthew D. Hoffman, David M. Blei, Francis R. Bach
2010	J	`jnl`	Online Learning for Matrix Factorization and Sparse Coding. J. Mach. Learn. Res. Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
2010	A*	`conf`	Proximal Methods for Sparse Hierarchical Dictionary Learning. ICML Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Francis R. Bach
2010	J	`jnl`	Shaping Level Sets with Submodular Functions CoRR Francis R. Bach
2010	A	`conf`	Structured Sparse Principal Component Analysis. AISTATS Rodolphe Jenatton, Guillaume Obozinski, Francis R. Bach
2010	J	`jnl`	Structured sparsity-inducing norms through submodular functions CoRR Francis R. Bach
2010	—	`conf`	Structured sparsity-inducing norms through submodular functions. NIPS Francis R. Bach
2009	J	`jnl`	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J. Mach. Learn. Res. Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert
2009	J	`jnl`	A Path Following Algorithm for the Graph Matching Problem. IEEE Trans. Pattern Anal. Mach. Intell. Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2009	A*	`conf`	A tensor-based algorithm for high-order graph matching. CVPR Olivier Duchenne, Francis R. Bach, In-So Kweon, Jean Ponce
2009	—	`conf`	Asymptotically Optimal Regularization in Smooth Parametric Models. NIPS Percy Liang, Francis R. Bach, Guillaume Bouchard, Michael I. Jordan
2009	A*	`conf`	Automatic annotation of human actions in video. ICCV Olivier Duchenne, Ivan Laptev, Josef Sivic, Francis R. Bach, Jean Ponce
2009	—	`conf`	Data-driven calibration of linear estimators with minimal penalties. NIPS Sylvain Arlot, Francis R. Bach
2009	J	`jnl`	Global alignment of protein-protein interaction networks by graph matching methods. Bioinform. Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2009	J	`jnl`	High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning CoRR Francis R. Bach
2009	J	`jnl`	Model-Consistent Sparse Estimation through the Bootstrap CoRR Francis R. Bach
2009	A*	`conf`	Non-local sparse models for image restoration. ICCV Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2009	J	`jnl`	Online Learning for Matrix Factorization and Sparse Coding CoRR Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
2009	A*	`conf`	Online dictionary learning for sparse coding. ICML Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro
2009	J	`jnl`	Self-concordant analysis for logistic regression CoRR Francis R. Bach
2008	J	`jnl`	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization CoRR Francis R. Bach, Jacob D. Abernethy, Jean-Philippe Vert, Theodoros Evgeniou
2008	C	`conf`	A Path Following Algorithm for Graph Matching. ICISP Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2008	J	`jnl`	Bolasso: model consistent Lasso estimation through the bootstrap CoRR Francis R. Bach
2008	A*	`conf`	Bolasso: model consistent Lasso estimation through the bootstrap. ICML Francis R. Bach
2008	J	`jnl`	Clustered Multi-Task Learning: A Convex Formulation CoRR Laurent Jacob, Francis R. Bach, Jean-Philippe Vert
2008	—	`conf`	Clustered Multi-Task Learning: A Convex Formulation. NIPS Laurent Jacob, Francis R. Bach, Jean-Philippe Vert
2008	J	`jnl`	Consistency of Trace Norm Minimization. J. Mach. Learn. Res. Francis R. Bach
2008	J	`jnl`	Consistency of the Group Lasso and Multiple Kernel Learning. J. Mach. Learn. Res. Francis R. Bach
2008	J	`jnl`	Convex Sparse Matrix Factorizations CoRR Francis R. Bach, Julien Mairal, Jean Ponce
2008	—	`conf`	Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation. ECCV (3) Julien Mairal, Marius Leordeanu, Francis R. Bach, Martial Hebert, Jean Ponce
2008	A*	`conf`	Discriminative learned dictionaries for local image analysis. CVPR Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2008	J	`jnl`	Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning CoRR Francis R. Bach
2008	—	`conf`	Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning. NIPS Francis R. Bach
2008	A*	`conf`	Graph kernels between point clouds. ICML Francis R. Bach
2008	—	`conf`	Kernel Change-point Analysis. NIPS Zaïd Harchaoui, Francis R. Bach, Eric Moulines
2008	J	`jnl`	Optimal Solutions for Sparse Principal Component Analysis. J. Mach. Learn. Res. Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
2008	J	`jnl`	Path following algorithm for the graph matching problem CoRR Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2008	—	`conf`	Sparse probabilistic projections. NIPS Cédric Archambeau, Francis R. Bach
2008	J	`jnl`	Supervised Dictionary Learning CoRR Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2008	—	`conf`	Supervised Dictionary Learning. NIPS Julien Mairal, Francis R. Bach, Jean Ponce, Guillermo Sapiro, Andrew Zisserman
2007	J	`jnl`	Consistency of the group Lasso and multiple kernel learning CoRR Francis R. Bach
2007	J	`jnl`	Consistency of trace norm minimization CoRR Francis R. Bach
2007	—	`conf`	DIFFRAC: a discriminative and flexible framework for clustering. NIPS Francis R. Bach, Zaïd Harchaoui
2007	J	`jnl`	Feature Space Mahalanobis Sequence Kernels: Application to SVM Speaker Verification. IEEE Trans. Speech Audio Process. Jérôme Louradour, Khalid Daoudi, Francis R. Bach
2007	A*	`conf`	Full regularization path for sparse principal component analysis. ICML Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
2007	J	`jnl`	Glycan classification with tree kernels. Bioinform. Yoshihiro Yamanishi, Francis R. Bach, Jean-Philippe Vert
2007	J	`jnl`	Graph kernels between point clouds CoRR Francis R. Bach
2007	A*	`conf`	Image Classification with Segmentation Graph Kernels. CVPR Zaïd Harchaoui, Francis R. Bach
2007	A*	`conf`	More efficiency in multiple kernel learning. ICML Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet
2007	J	`jnl`	Optimal Solutions for Sparse Principal Component Analysis CoRR Alexandre d'Aspremont, Francis R. Bach, Laurent El Ghaoui
2007	—	`conf`	Segmentation of random textures by morphological and linear operators. ISMM (1) Aurélien Cord, Dominique Jeulin, Francis R. Bach
2007	J	`jnl`	Statistical Consistency of Kernel Canonical Correlation Analysis. J. Mach. Learn. Res. Kenji Fukumizu, Francis R. Bach, Arthur Gretton
2007	—	`conf`	Testing for Homogeneity with Kernel Fisher Discriminant Analysis. NIPS Zaïd Harchaoui, Francis R. Bach, Eric Moulines
2006	—	`conf`	Active learning for misspecified generalized linear models. NIPS Francis R. Bach
2006	J	`jnl`	Considering Cost Asymmetry in Learning Classifiers. J. Mach. Learn. Res. Francis R. Bach, David Heckerman, Eric Horvitz
2006	J	`jnl`	Learning Spectral Clustering, With Application To Speech Separation. J. Mach. Learn. Res. Francis R. Bach, Michael I. Jordan
2006	J	`jnl`	Low-rank matrix factorization with attributes CoRR Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert
2006	—	`conf`	SVM Speaker Verification using an Incomplete Cholesky Decomposition Sequence Kernel. Odyssey Jérôme Louradour, Khalid Daoudi, Francis R. Bach
2005	—	`conf`	Discriminative training of hidden Markov models for multiple pitch tracking [speech processing examples]. ICASSP (5) Francis R. Bach, Michael I. Jordan
2005	—	`conf`	Modèles de Markov cachés pour l'estimation de plusieurs fréquences fondamentales. EGC (Ateliers) Michael I. Jordan, Francis R. Bach
2005	A	`conf`	On the Path to an Ideal ROC Curve: Considering Cost Asymmetry in Learning Classifiers. AISTATS Francis R. Bach, David Heckerman, Eric Horvitz
2005	A*	`conf`	Predictive low-rank decomposition for kernel methods. ICML Francis R. Bach, Michael I. Jordan
2005	—	`conf`	Statistical Convergence of Kernel CCA. NIPS Kenji Fukumizu, Francis R. Bach, Arthur Gretton
2004	—	`conf`	Blind One-microphone Speech Separation: A Spectral Learning Approach. NIPS Francis R. Bach, Michael I. Jordan
2004	—	`conf`	Computing regularization paths for learning multiple kernels. NIPS Francis R. Bach, Romain Thibaux, Michael I. Jordan
2004	J	`jnl`	Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces. J. Mach. Learn. Res. Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
2004	J	`jnl`	Learning graphical models for stationary time series. IEEE Trans. Signal Process. Francis R. Bach, Michael I. Jordan
2004	A*	`conf`	Multiple kernel learning, conic duality, and the SMO algorithm. ICML Francis R. Bach, Gert R. G. Lanckriet, Michael I. Jordan
2003	J	`jnl`	Beyond Independent Components: Trees and Clusters. J. Mach. Learn. Res. Francis R. Bach, Michael I. Jordan
2003	—	`conf`	Kernel Dimensionality Reduction for Supervised Learning. NIPS Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
2003	—	`conf`	Kernel independent component analysis. ICASSP (4) Francis R. Bach, Michael I. Jordan
2003	—	`conf`	Learning Spectral Clustering. NIPS Francis R. Bach, Michael I. Jordan
2002	J	`jnl`	Kernel Independent Component Analysis. J. Mach. Learn. Res. Francis R. Bach, Michael I. Jordan
2002	—	`conf`	Learning Graphical Models with Mercer Kernels. NIPS Francis R. Bach, Michael I. Jordan
2002	A	`conf`	Tree-dependent Component Analysis. UAI Francis R. Bach, Michael I. Jordan
2001	—	`conf`	Thin Junction Trees. NIPS Francis R. Bach, Michael I. Jordan