Riccardo Grazzi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Bilevel Programming

Top Venues

J. Mach. Learn. Res.

Publications

Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
Learning invariant representations of time-homogeneous stochastic dynamical systems. ICLR (2024)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates. CoRR (2024)
Riccardo Grazzi, Julien Siems, Simon Schrodi, Thomas Brox, Frank Hutter
Is Mamba Capable of In-Context Learning? CoRR (2024)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. J. Mach. Learn. Res. 24 (2023)
Vladimir R. Kostic, Pietro Novelli, Riccardo Grazzi, Karim Lounici, Massimiliano Pontil
Deep projection networks for learning time-homogeneous dynamical systems. CoRR (2023)
Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil
Group Meritocratic Fairness in Linear Contextual Bandits. NeurIPS (2022)
Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil
Group Meritocratic Fairness in Linear Contextual Bandits. CoRR (2022)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start. CoRR (2022)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Convergence Properties of Stochastic Hypergradients. AISTATS (2021)
Riccardo Grazzi, Valentin Flunkert, David Salinas, Tim Januschowski, Matthias W. Seeger, Cédric Archambeau
Meta-Forecasting by combining Global Deep Representations with Local Adaptation. CoRR (2021)
Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo
Convergence Properties of Stochastic Hypergradients. CoRR (2020)
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
On the Iteration Complexity of Hypergradient Computation. CoRR (2020)
Riccardo Grazzi, Luca Franceschi, Massimiliano Pontil, Saverio Salzo
On the Iteration Complexity of Hypergradient Computation. ICML (2020)
Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. ICML (2019)
Giulia Denevi, Carlo Ciliberto, Riccardo Grazzi, Massimiliano Pontil
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization. CoRR (2019)
Luca Franceschi, Paolo Frasconi, Saverio Salzo, Riccardo Grazzi, Massimiliano Pontil
Bilevel Programming for Hyperparameter Optimization and Meta-Learning. ICML (2018)
Luca Franceschi, Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo, Paolo Frasconi
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning. CoRR (2018)