Search Results - "Rosasco, Lorenzo"

Stochastic zeroth order descent with structured directions.

Authors: Rando, Marco Molinari, Cesare Villa, Silvia et al.

Source: Computational Optimization & Applications; Dec2024, Vol. 89 Issue 3, p691-727, 37p

Zeroth-order optimization with orthogonal random directions.

Authors: Kozak, David Molinari, Cesare Rosasco, Lorenzo et al.

Source: Mathematical Programming; May2023, Vol. 199 Issue 1/2, p1179-1219, 41p

Convergence of the forward-backward algorithm: beyond the worst-case with the help of geometry.

Authors: Garrigos, Guillaume Rosasco, Lorenzo Villa, Silvia

Source: Mathematical Programming; Mar2023, Vol. 198 Issue 1, p937-996, 60p

From inexact optimization to learning via gradient concentration.

Authors: Stankewitz, Bernhard Mücke, Nicole Rosasco, Lorenzo

Source: Computational Optimization & Applications; Jan2023, Vol. 84 Issue 1, p265-294, 30p

Fast and Fourier features for transfer learning of interatomic potentials.

Authors: Novelli, Pietro Meanti, Giacomo Buigues, Pedro J. et al.

Source: NPJ Computational Materials; 9/25/2025, Vol. 11 Issue 1, p1-13, 13p

Author Index.

Authors: Meijer, Gerrit

Source: Cellular Oncology. 2008, Vol. 30 Issue 2, p195-202. 8p.

A First-Order Stochastic Primal-Dual Algorithm with Correction Step.

Authors: Rosasco, Lorenzo Villa, Silvia Vũ, Bằng Công

Source: Numerical Functional Analysis & Optimization; 2017, Vol. 38 Issue 5, p602-626, 25p

Iterative regularization for low complexity regularizers.

Authors: Molinari, Cesare Massias, Mathurin Rosasco, Lorenzo et al.

Source: Numerische Mathematik; Apr2024, Vol. 156 Issue 2, p641-689, 49p

A structured prediction approach for robot imitation learning.

Authors: Duan, Anqing Batzianoulis, Iason Camoriano, Raffaello et al.

Source: International Journal of Robotics Research; Feb2024, Vol. 43 Issue 2, p113-133, 21p

For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability.

Authors: Rangamani, Akshay Rosasco, Lorenzo Poggio, Tomaso

Source: Analysis & Applications. Jan2023, Vol. 21 Issue 1, p193-215. 23p.

Differentially private Riemannian optimization.

Authors: Han, Andi Mishra, Bamdev Jawanpuria, Pratik et al.

Source: Machine Learning; Mar2024, Vol. 113 Issue 3, p1133-1161, 29p

Understanding neural networks with reproducing kernel Banach spaces.

Authors: Bartolucci, Francesca De Vito, Ernesto Rosasco, Lorenzo et al.

Source: Applied & Computational Harmonic Analysis; Jan2023, Vol. 62, p194-236, 43p

Fast iterative regularization by reusing data.

Authors: Vega, Cristian Molinari, Cesare Rosasco, Lorenzo et al.

Source: Journal of Inverse & Ill-Posed Problems. Aug2024, Vol. 32 Issue 4, p733-759. 27p.

Convergence of Stochastic Proximal Gradient Algorithm.

Authors: Rosasco, Lorenzo Villa, Silvia Vũ, Bằng Công

Source: Applied Mathematics & Optimization. Dec2020, Vol. 82 Issue 3, p891-917. 27p.

Multi-scale vector quantization with reconstruction trees.

Authors: Cecini, Enrico Vito, Ernesto De Rosasco, Lorenzo

Source: Information & Inference: A Journal of the IMA; Sep2021, Vol. 10 Issue 3, p955-986, 32p

Linear quadratic control of nonlinear systems with Koopman operator learning and the Nyström method.

Authors: Caldarelli, Edoardo Chatalic, Antoine Colomé, Adrià et al.

Source: Automatica; Jul2025, Vol. 177, pN.PAG-N.PAG, 1p

In-domain versus out-of-domain transfer learning in plankton image classification.

Authors: Maracani, Andrea Pastore, Vito Paolo Natale, Lorenzo et al.

Source: Scientific Reports. 6/27/2023, Vol. 13 Issue 1, p1-10. 10p.

On-line object detection: a robotics challenge.

Authors: Maiettini, Elisa Pasquale, Giulia Rosasco, Lorenzo et al.

Source: Autonomous Robots; May2020, Vol. 44 Issue 5, p739-757, 19p

Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces.

Authors: Lin, Junhong Rudi, Alessandro Rosasco, Lorenzo et al.

Source: Applied & Computational Harmonic Analysis; May2020, Vol. 48 Issue 3, p868-890, 23p

Data augmentation based on the WGAN-GP with data block to enhance the prediction of genes associated with RNA methylation pathways.

Authors: Jiang, Tuo Shen, Cong Ding, Pingjian et al.

Source: Scientific Reports. 11/1/2024, Vol. 14 Issue 1, p1-16. 16p.