Francis Bach
Impact in
- Computational Mathematics top 1%
-
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
Papers in
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- Statistical Methods and Inference 15
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- Advanced Optimization Algorithms Research 12
- Co-authors
- Michael I. JordanGert LanckrietJean PonceMatthew D. HoffmanDavid M. BleiJulien MairalZaïd HarchaouiRodolphe Jenatton
- Journals
- SIAM Journal on Optimization (5 papers)Journal of Machine Learning Research (4 papers)Mathematical Programming (3 papers)The Annals of Statistics (3 papers)Electronic Journal of Statistics (3 papers)
- Partner nations
- FranceUnited StatesBurundi
In The Last Decade
Francis Bach
96 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Computational Mathematics 98
- Computer Vision and Pattern Recognition 3.0k
- Artificial Intelligence 3.3k
- Signal Processing 990
- Statistics and Probability 638
Countries citing papers authored by Francis Bach
This map shows the geographic impact of Francis Bach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francis Bach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Bach more than expected).
Fields of papers citing papers by Francis Bach
This network shows the impact of papers produced by Francis Bach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francis Bach. The network helps show where Francis Bach may publish in the future.
Co-authors
The 25 scholars most cited alongside Francis Bach, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2022 | 8 | |
| 3 | Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms | 2021 | 2 |
| 4 | Batch normalization provably avoids ranks collapse for randomly initialised deep networks | 2020 | 8 |
| 5 | Partially Encrypted Deep Learning using Functional Encryption | 2019 | 15 |
| 6 | Averaging Stochastic Gradient Descent on Riemannian Manifolds | 2018 | 1 |
| 7 | A Note on Lazy Training in Supervised Differentiable Programming | 2018 | 17 |
| 8 | Integration Methods and Optimization Algorithms | 2017 | 9 |
| 9 | Highly-Smooth Zero-th Order Online Optimization | 2016 | 14 |
| 10 | From Averaging to Acceleration, There is Only a Step-size | 2015 | 2 |
| 11 | 2013 | 8 | |
| 12 | Structured Sparsity and Convex Optimization. | 2012 | 2 |
| 13 | Efficient Optimization for Discriminative Latent Class Models | 2010 | 6 |
| 14 | Asymptotically Optimal Regularization in Smooth Parametric Models | 2009 | 6 |
| 15 | Kernel Change-point Analysis | 2008 | 73 |
| 16 | 2006 | 164 | |
| 17 | 2006 | 84 | |
| 18 | Statistical Convergence of Kernel CCA | 2005 | 7 |
| 19 | Kernel Dimensionality Reduction for Supervised Learning | 2003 | 9 |
| 20 | Learning Graphical Models with Mercer Kernels | 2002 | 25 |
About Francis Bach
Francis Bach is a scholar working on Statistics and Probability, Numerical Analysis, Artificial Intelligence, Computational Mechanics and Computational Mathematics, having authored 99 papers that have together received 7.0k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (36 papers), Stochastic Gradient Optimization Techniques (18 papers), Machine Learning and Algorithms (16 papers), Statistical Methods and Inference (15 papers), Advanced Optimization Algorithms Research (12 papers), Bayesian Methods and Mixture Models (9 papers), Speech and Audio Processing (9 papers) and Blind Source Separation Techniques (9 papers). The work is most often cited by research in Computational Mathematics (98 citations), Computer Vision and Pattern Recognition (3.0k citations), Artificial Intelligence (3.3k citations), Signal Processing (990 citations) and Statistics and Probability (638 citations). Francis Bach has collaborated with scholars based in France, United States and Burundi. Frequent co-authors include Michael I. Jordan, Gert Lanckriet, Jean Ponce, Matthew D. Hoffman, David M. Blei, Julien Mairal, Zaïd Harchaoui, Rodolphe Jenatton, Kenji Fukumizu and Jean‐Philippe Vert. Their work appears in journals such as SIAM Journal on Optimization, Journal of Machine Learning Research, Mathematical Programming, The Annals of Statistics and Electronic Journal of Statistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.