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Articles by Francis Bach

Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence
11 March 2025 by Clémentine Chazal and others
Machine Learning, Functional Analysis
Convergence of Shallow ReLU Networks on Weakly Interacting Data
24 February 2025 by Léo Dana and others
Machine Learning, Artificial Intelligence
Optimizing Estimators of Squared Calibration Errors in Classification
21 February 2025 by Sebastian Gruber and Francis Bach
Machine Learning
Building Bridges between Regression, Clustering, and Classification
18 February 2025 by Lawrence Stewart and others
Machine Learning
Spectral structure learning for clinical time series
17 February 2025 by Ivan Lerner and others
Machine Learning
Variational Inference on the Boolean Hypercube with the Quantum Entropy
14 February 2025 by Eliot Beyler and Francis Bach
Information Theory, Machine Learning
Forecasting time series with constraints
14 February 2025 by Nathan Doumèche and others
Machine Learning, Artificial Intelligence
An Uncertainty Principle for Linear Recurrent Neural Networks
13 February 2025 by Alexandre François and others
Machine Learning
Statistical Collusion by Collectives on Learning Platforms
7 February 2025 by Etienne Gauthier and others
Machine Learning
Sampling Binary Data by Denoising through Score Functions
1 February 2025 by Francis Bach and Saeed Saremi
Machine Learning
Rethinking Early Stopping: Refine, Then Calibrate
31 January 2025 by Eugène Berta and others
Machine Learning, Artificial Intelligence
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
31 January 2025 by Fabian Schaipp and others
Machine Learning, Optimization and Control
Variational Dynamic Programming for Stochastic Optimal Control
11 December 2024 by Marc Lambert and others
Optimization and Control
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization
25 November 2024 by Benjamin Dubois-Taine and others
Optimization and Control, Machine Learning
Efficient Optimization Algorithms for Linear Adversarial Training
16 October 2024 by Antônio Ribeiro and others
Machine Learning, Cryptography and Security
Physics-informed kernel learning
20 September 2024 by Nathan Doumèche and others
Machine Learning, Statistics Theory
Constructive approaches to concentration inequalities with independent random variables
29 August 2024 by Céline Moucer and others
Probability, Optimization and Control
Nonparametric Linear Feature Learning in Regression Through Regularisation
7 August 2024 by Bertille Follain and Francis Bach
Methodology, Artificial Intelligence
Enhanced Feature Learning via Regularisation: Integrating Neural Networks and Kernel Methods
24 July 2024 by Bertille Follain and Francis Bach
Machine Learning
Low-rank plus diagonal approximations for Riccati-like matrix differential equations
1 July 2024 by Silvère Bonnabel and others
Numerical Analysis
Physics-informed machine learning as a kernel method
19 June 2024 by Nathan Doumèche and others
Artificial Intelligence, Statistics Theory
Theory and applications of the Sum-Of-Squares technique
11 March 2024 by Francis Bach and others
Optimization and Control, Information Theory
A systematic approach to Lyapunov analyses of continuous-time models in convex optimization
11 March 2024 by Céline Moucer and others at LogoInria Rocquencourt
Numerical Analysis
Geometry-dependent matching pursuit: a transition phase for convergence on linear regression and LASSO
5 March 2024 by Céline Moucer and others
Optimization and Control
The Galerkin method beats Graph-Based Approaches for Spectral Algorithms
26 February 2024 by Vivien Cabannes and Francis Bach
Machine Learning, Artificial Intelligence
Classifier Calibration with ROC-Regularized Isotonic Regression
21 November 2023 by Eugene Berta and others
Machine Learning
On the impact of activation and normalization in obtaining isometric embeddings at initialization
17 November 2023 by Amir Joudaki and others
Machine Learning, Artificial Intelligence
On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions
7 November 2023 by Simon Martin and others
Optimization and Control, Disordered Systems and Neural Networks
Regularization properties of adversarially-trained linear regression
16 October 2023 by Antônio Ribeiro and others
Machine Learning, Cryptography and Security
Variational Gaussian approximation of the Kushner optimal filter
3 October 2023 by Marc Lambert and others
Machine Learning
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