2026 Francis Bach: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	112	204	199	5	5	405	57983

Research.com Recognitions

2026 - Research.com Computer Science in France Leader Award
2025 - Research.com Computer Science in France Leader Award
2023 - Research.com Computer Science in France Leader Award
2022 - Research.com Computer Science in France Leader Award

Overview

Francis Bach is affiliated with École Normale Supérieure in France. Their research spans multiple fields of study, principally intersecting Engineering and Computer Science. The scientist's work focuses on areas such as Computational Mechanics, Artificial Intelligence, and Computer Vision and Pattern Recognition, with additional contributions to Statistics and Probability as well as Numerical Analysis.

The research topics Francis Bach has contributed to include:

Sparse and Compressive Sensing Techniques
Face and Expression Recognition
Advanced Optimization Algorithms Research
Groundwater Flow and Contamination Studies
Markov Chains and Monte Carlo Methods
Machine Learning and Data Classification
Domain Adaptation and Few-Shot Learning

The scientist has published extensively, with notable frequent appearances in the following venues:

arXiv (Cornell University)
SIAM Journal on Mathematics of Data Science

Recent papers authored or co-authored by Francis Bach include:

Non-parametric Models for Non-negative Functions, 2020, arXiv (Cornell University)
Batch Normalization Provably Avoids Rank Collapse for Randomly Initialised Deep Networks, 2020, arXiv (Cornell University)
Optimal Estimation of Smooth Transport Maps with Kernel SoS, 2024, SIAM Journal on Mathematics of Data Science
Overcoming the Curse of Dimensionality with Laplacian Regularization in Semi-supervised Learning, 2020, arXiv (Cornell University)
Kernelized Diffusion Maps, 2023, arXiv (Cornell University)

Collaboration has been a notable aspect of their work, frequently co-authoring with:

Alessandro Rudi
Boris Muzellec
Loucas Pillaud-Vivien
Nathan Doumèche
Gérard Biau

Best Publications

Online Learning for Matrix Factorization and Sparse Coding

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

3076
Citations
Online dictionary learning for sparse coding

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

2677
Citations
Kernel independent component analysis

Francis R. Bach;Michael I. Jordan

2417
Citations
Non-local sparse models for image restoration

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

2100
Citations
Online Learning for Latent Dirichlet Allocation

Matthew Hoffman;Francis R. Bach;David M. Blei

2006
Citations
Multiple kernel learning, conic duality, and the SMO algorithm

Francis R. Bach;Gert R. G. Lanckriet;Michael I. Jordan

1958
Citations
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

Aaron Defazio;Francis Bach;Simon Lacoste-Julien

1582
Citations
Learning mid-level features for recognition

Y-Lan Boureau;Francis Bach;Yann LeCun;Jean Ponce

1435
Citations
Supervised Dictionary Learning

Julien Mairal;Jean Ponce;Guillermo Sapiro;Andrew Zisserman

1377
Citations
Minimizing finite sums with the stochastic average gradient

Mark Schmidt;Nicolas Le Roux;Francis Bach

1278
Citations
Optimization with Sparsity-Inducing Penalties

Francis Bach;Rodolphe Jenatton;Julien Mairal;Guillaume Obozinski

1114
Citations
Task-Driven Dictionary Learning

J. Mairal;F. Bach;J. Ponce

1034
Citations
Discriminative learned dictionaries for local image analysis

J. Mairal;F. Bach;J. Ponce;G. Sapiro

1004
Citations
Consistency of the Group Lasso and Multiple Kernel Learning

Francis R. Bach

928
Citations
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets

Nicolas L. Roux;Mark Schmidt;Francis R. Bach

906
Citations
Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces

Kenji Fukumizu;Francis R. Bach;Michael I. Jordan

786
Citations
Supervised Dictionary Learning

Julien Mairal;Francis Bach;Jean Ponce;Guillermo Sapiro

779
Citations
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning

Eric Moulines;Francis R. Bach

732
Citations
A Tensor-Based Algorithm for High-Order Graph Matching

O. Duchenne;F. Bach;In-So Kweon;Jean Ponce

699
Citations
Structured Variable Selection with Sparsity-Inducing Norms

Rodolphe Jenatton;Jean-Yves Audibert;Francis Bach

646
Citations
Full regularization path for sparse principal component analysis

Alexandre d'Aspremont;Francis R. Bach;Laurent El Ghaoui

66
Citations

Frequent Co-Authors

Jean Ponce École Normale Supérieure

Julien Mairal French Institute for Research in Computer Science and Automation - INRIA

Michael I. Jordan University of California, Berkeley

Guillaume Obozinski ETH Zurich

Jean-Philippe Vert Google (United States)

Simon Lacoste-Julien University of Montreal

Mark Schmidt University of British Columbia

Laurent Massoulié French Institute for Research in Computer Science and Automation - INRIA

Bernhard Pfahringer University of Waikato

Ricard Gavaldà Universitat Politècnica de Catalunya

External Links

Personal website of Francis Bach Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens a pathway to numerous related online degrees and diverse career opportunities. Many students seeking flexibility choose the fastest computer science degree route, allowing them to complete their studies more quickly and enter the workforce sooner.

Those interested in the intersection of technology and the environment may explore environmental engineering degree online programs. Graduates in this field can pursue impactful careers in sustainable technology or conservation. Additionally, applying computational skills in traditional STEM fields can lead to engaging job prospects. For instance, earning an online degree for mechanical engineering provides opportunities to work in robotics, manufacturing, or aerospace.

For career changers or those interested in adjacent fields, there are also high-paying jobs with environmental science degree credentials. This makes studying Computer Science just one avenue among a broader range of rewarding, online-accessible technical careers. Consider the options that best fit your skills and long-term goals.