CORDIS - EU research results
CORDIS

Reliable and cost-effective large scale machine learning

Deliverables

Data Management Plan (DMP)

Participation in the Open Research Data Pilot

Publications

Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares

Author(s): Blake Woodworth, Francis Bach, Alessandro Rudi
Published in: Conference on Learning Theory, 2022
Publisher: COLT

On the Consistency of Max-Margin Losses

Author(s): Alex Nowak-Vila, Alessandro Rudi, Francis Bach
Published in: AISTATS, 2021
Publisher: AISTATS

On the Benefits of Large Learning Rates for Kernel Methods

Author(s): Gaspard Beugnot, Julien Mairal, Alessandro Rudi
Published in: Conference on Learning Theory, 2022
Publisher: COLT

PSD Representations for Effective Probability Models

Author(s): Rudi, Alessandro; Ciliberto, Carlo
Published in: Issue 1, 2021
Publisher: NeurIPS

Measuring dissimilarity with diffeomorphism invariance

Author(s): Théophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi
Published in: International Conference on Machine Learning, 2022
Publisher: ICML

Sampling from Arbitrary Functions via PSD Models

Author(s): Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi
Published in: International Conference of Machine Learning, 2022
Publisher: ICML

Beyond Tikhonov: Faster Learning with Self-Concordant Losses via Iterative Regularization

Author(s): Beugnot, Gaspard; Mairal, Julien; Rudi, Alessandro
Published in: NeurIPS 2021 – 35th Annual Conference on Neural Information Processing Systems, Issue 1, 2021
Publisher: NeurIPS

Mixability made efficient: Fast online multiclass logistic regression.

Author(s): Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Published in: Advances in Neural Information Processing Systems 34 (2021)., 2021
Publisher: Neural Information Processing Systems

Active Labeling: Streaming Stochastic Gradients

Author(s): Vivien Cabannes, Francis Bach, Vianney Perchet, Alessandro Rudi
Published in: NeurIPS 2021, 2021
Publisher: NeurIPS

Disambiguation of Weak Supervision leading to Exponential Convergence rates

Author(s): Vivien Cabannes; Francis Bach; Alessandro Rudi
Published in: International Conference on Machine Learning, 2021
Publisher: PMLR

Fast Rates for Structured Prediction

Author(s): Vivien Cabannes, Francis Bach, Alessandro Rudi
Published in: Proceedings of Thirty Fourth Conference on Learning Theory, 2021
Publisher: Proceedings of Machine Learning Research

Disambiguation of weak supervision with exponential convergence rates

Author(s): Vivien Cabannes, Francis Bach, Alessandro Rudi
Published in: Proceedings of the 38th International Conference on Machine Learning,, 2021
Publisher: ICML

Nyström Kernel Mean Embeddings

Author(s): Antoine Chatalic, Nicolas Schreuder, Alessandro Rudi, Lorenzo Rosasco
Published in: International Conference of Machine Learning, 2022
Publisher: ICML

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

Author(s): Vivien Cabannes, Loucas Pillaud-Vivien, Francis Bach, Alessandro Rudi
Published in: NeurIPS, 2021
Publisher: NeurIPS

A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation

Author(s): Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis Bach, Francois-Xavier Vialard
Published in: 2021
Publisher: Arxiv

A Note on Optimizing Distributions using Kernel Mean Embeddings

Author(s): Muzellec, Boris; Bach, Francis; Rudi, Alessandro
Published in: https://hal.archives-ouvertes.fr/hal-03454259, 2021
Publisher: HAL
DOI: 10.48550/arxiv.2106.09994

Exponential convergence of sum-of-squares hierarchies for trigonometric polynomials

Author(s): Francis Bach, Alessandro Rudi
Published in: 2022
Publisher: Arxiv

Near-optimal estimation of smooth transport maps with kernel sums-of-squares

Author(s): Boris Muzellec, Adrien Vacher, Francis Bach, François-Xavier Vialard, Alessandro Rudi
Published in: 2022
Publisher: Arxiv

Finding Global Minima via Kernel Approximations

Author(s): Alessandro Rudi, Ulysse Marteau-Ferey, Francis Bach
Published in: 2021
Publisher: Arxiv

Learning PSD-valued functions using kernel sums-of-squares

Author(s): Boris Muzellec, Francis Bach, Alessandro Rudi
Published in: 2022
Publisher: Arxiv

Infinite-Dimensional Sums-of-Squares for Optimal Control

Author(s): Eloïse Berthier, Justin Carpentier, Alessandro Rudi, Francis Bach
Published in: 2021
Publisher: Arxiv

Second order conditions to decompose smooth functions as sums of squares

Author(s): Ulysse Marteau-Ferey, Francis Bach, Alessandro Rudi
Published in: 2022
Publisher: Arxix

Vector-Valued Least-Squares Regression under Output Regularity Assumptions

Author(s): Luc Brogat-Motte, Alessandro Rudi, Céline Brouard, Juho Rousu, Florence d'Alché-Buc
Published in: Journal of Machine Learning Research, Issue Volume 23, 2022, ISSN 1533-7928
Publisher: JMLR

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