| 2022 | AISTATS | Sampling from Arbitrary Functions via PSD Models. | Ulysse Marteau-Ferey, Francis R. Bach, Alessandro Rudi |
| 2022 | AISTATS | On the Consistency of Max-Margin Losses. | Alex Nowak, Alessandro Rudi, Francis R. Bach |
| 2022 | COLT | On the Benefits of Large Learning Rates for Kernel Methods. | Gaspard Beugnot, Julien Mairal, Alessandro Rudi |
| 2022 | COLT | Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares. | Blake E. Woodworth, Francis R. Bach, Alessandro Rudi |
| 2022 | ICML | Measuring dissimilarity with diffeomorphism invariance. | Thophile Cantelobre, Carlo Ciliberto, Benjamin Guedj, Alessandro Rudi |
| 2022 | ICML | Nystrm Kernel Mean Embeddings. | Antoine Chatalic, Nicolas Schreuder, Lorenzo Rosasco, Alessandro Rudi |
| 2021 | COLT | Fast Rates for Structured Prediction. | Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi |
| 2021 | COLT | A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation. | Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis R. Bach, Franois-Xavier Vialard |
| 2021 | ICML | Disambiguation of Weak Supervision leading to Exponential Convergence rates. | Vivien A. Cabannes, Francis R. Bach, Alessandro Rudi |
| 2020 | AISTATS | Statistical Estimation of the Poincar constant and Application to Sampling Multimodal Distributions. | Loucas Pillaud-Vivien, Francis R. Bach, Tony Lelivre, Alessandro Rudi, Gabriel Stoltz |
| 2020 | AISTATS | Gain with no Pain: Efficiency of Kernel-PCA by Nystrm Sampling. | Nicholas Sterge, Bharath K. Sriperumbudur, Lorenzo Rosasco, Alessandro Rudi |
| 2020 | COLT | Efficient improper learning for online logistic regression. | Rmi Jzquel, Pierre Gaillard, Alessandro Rudi |
| 2020 | ICML | Structured Prediction with Partial Labelling through the Infimum Loss. | Vivien Cabannes, Alessandro Rudi, Francis R. Bach |
| 2020 | ICML | Consistent Structured Prediction with Max-Min Margin Markov Networks. | Alex Nowak, Francis R. Bach, Alessandro Rudi |
| 2019 | AISTATS | Sharp Analysis of Learning with Discrete Losses. | Alex Nowak-Vila, Francis R. Bach, Alessandro Rudi |
| 2019 | COLT | Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance. | Ulysse Marteau-Ferey, Dmitrii Ostrovskii, Francis R. Bach, Alessandro Rudi |
| 2019 | COLT | Affine Invariant Covariance Estimation for Heavy-Tailed Distributions. | Dmitrii M. Ostrovskii, Alessandro Rudi |
| 2018 | COLT | Exponential Convergence of Testing Error for Stochastic Gradient Methods. | Loucas Pillaud-Vivien, Alessandro Rudi, Francis R. Bach |
| 2016 | AISTATS | NYTRO: When Subsampling Meets Early Stopping. | Raffaello Camoriano, Toms Angles, Alessandro Rudi, Lorenzo Rosasco |
| 2012 | ESANN | Adaptive Optimization for Cross Validation. | Alessandro Rudi, Gabriele Chiusano, Alessandro Verri |
| 2011 | CVPR | A general method for the point of regard estimation in 3D space. | Fiora Pirri, Matia Pizzoli, Alessandro Rudi |
| 2010 | ACCV | Linear Solvability in the Viewing Graph. | Alessandro Rudi, Matia Pizzoli, Fiora Pirri |