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Authors whose works are in public domain in at least one jurisdiction

List of works by Francis Bach

A Path Following Algorithm for Graph Matching

A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets

scientific article published in January 2012

A Tensor-Based Algorithm for High-Order Graph Matching

scientific article published on June 9, 2011

A path following algorithm for the graph matching problem

scientific article published in December 2009

Active learning for misspecified generalized linear models

scientific article published in January 2007

An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums

Asymptotically Optimal Regularization in Smooth Parametric Models

scientific article published in January 2009

Blind One-microphone Speech Separation: A Spectral Learning Approach

scientific article published in January 2005

Bolasso: model consistent Lasso estimation through the bootstrap

article

Clustered Multi-Task Learning: A Convex Formulation

Computing regularization paths for learning multiple kernels

scientific article published in January 2005

Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

scientific article published in January 2011

Convex Relaxations for Permutation Problems

DIFFRAC: a discriminative and flexible framework for clustering

Data-driven calibration of linear estimators with minimal penalties

scientific article published in January 2009

Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization

scholarly article by Francis Bach published 2018 in Advances in Neural Information Processing Systems 31

Efficient Optimization for Discriminative Latent Class Models

Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning

Fast Decomposable Submodular Function Minimization using Constrained Total Variation

Global alignment of protein-protein interaction networks by graph matching methods

scientific article

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

Glycan classification with tree kernels

scientific article published on 7 March 2007

Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks

Integration Methods and Optimization Algorithms

scientific article published in January 2017

Kernel Change-point Analysis

Kernel Dimensionality Reduction for Supervised Learning

scientific article published in January 2004

Learning Graphical Models with Mercer Kernels

scientific article published in January 2003

Learning Spectral Clustering

scientific article published in January 2004

Learning smoothing models of copy number profiles using breakpoint annotations

scientific article

Localized Structured Prediction

Many-to-Many Graph Matching: A Continuous Relaxation Approach

Massively scalable Sinkhorn distances via the Nyström method

Metric Learning for Temporal Sequence Alignment

scientific article published in January 2014

Multi-scale Mining of fMRI Data with Hierarchical Structured Sparsity

scientific article published in May 2011

Multiple Operator-valued Kernel Learning

scientific article published in January 2012

Multiscale Mining of fMRI Data with Hierarchical Structured Sparsity

scientific article published in January 2012

Network Flow Algorithms for Structured Sparsity

scholarly article by Julien Mairal et al published 2010 in Advances in Neural Information Processing Systems 23

Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning

scientific article published in January 2011

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)

article published in 2013

Nonlinear Acceleration of Stochastic Algorithms

scientific article published in January 2017

On Lazy Training in Differentiable Programming

On Structured Prediction Theory with Calibrated Convex Surrogate Losses

scientific article published in January 2017

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

Online Learning for Latent Dirichlet Allocation

article published in 2010

Optimal Algorithms for Non-Smooth Distributed Optimization in Networks

PAC-Bayesian Theory Meets Bayesian Inference

scientific article published in January 2016

Parameter Learning for Log-supermodular Distributions

scientific article published in January 2016

Partially Encrypted Deep Learning using Functional Encryption

scholarly article by Théo Ryffel et al published 2019 in Advances in Neural Information Processing Systems 32

Reflection methods for user-friendly submodular optimization

Regularized Nonlinear Acceleration

scientific article published in January 2016

Relating Leverage Scores and Density using Regularized Christoffel Functions

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

Rethinking LDA: Moment Matching for Discrete ICA

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

scientific article published in January 2014

SING: Symbol-to-Instrument Neural Generator

SegAnnDB: interactive Web-based genomic segmentation

scientific article

Shaping Level Sets with Submodular Functions

scientific article published in January 2011

Sparse probabilistic projections

Spectral Norm Regularization of Orthonormal Representations for Graph Transduction

Statistical Convergence of Kernel CCA

scientific article published in January 2006

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

Stochastic Optimization for Large-scale Optimal Transport

scientific article published in January 2016

Stochastic Variance Reduction Methods for Saddle-Point Problems

scientific article published in January 2016

Structured sparsity-inducing norms through submodular functions

Supervised Dictionary Learning

Task-Driven Dictionary Learning

scientific article published on April 1, 2012

Testing for Homogeneity with Kernel Fisher Discriminant Analysis

scientific article published in January 2008

Thin Junction Trees

scientific article published in January 2002

Towards closing the gap between the theory and practice of SVRG

Trace Lasso: a trace norm regularization for correlated designs

scientific article published in January 2011

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

article by Ali Kavis et al published 2019 in Advances in Neural Information Processing Systems 32