ML Anthology
Authors
Search
About
Grazzi, Riccardo
13 publications
NeurIPS
2025
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
Julien Siems
,
Timur Carstensen
,
Arber Zela
,
Frank Hutter
,
Massimiliano Pontil
,
Riccardo Grazzi
ICLRW
2025
DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products
Julien Siems
,
Timur Carstensen
,
Arber Zela
,
Frank Hutter
,
Massimiliano Pontil
,
Riccardo Grazzi
ICLR
2025
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi
,
Julien Siems
,
Arber Zela
,
Jörg K.H. Franke
,
Frank Hutter
,
Massimiliano Pontil
AutoML
2024
Is Mamba Capable of In-Context Learning?
Riccardo Grazzi
,
Julien Niklas Siems
,
Simon Schrodi
,
Thomas Brox
,
Frank Hutter
ICLR
2024
Learning Invariant Representations of Time-Homogeneous Stochastic Dynamical Systems
Vladimir R Kostic
,
Pietro Novelli
,
Riccardo Grazzi
,
Karim Lounici
,
Massimiliano Pontil
ICML
2024
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
Riccardo Grazzi
,
Massimiliano Pontil
,
Saverio Salzo
NeurIPSW
2024
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi
,
Julien Siems
,
Jörg K.H. Franke
,
Arber Zela
,
Frank Hutter
,
Massimiliano Pontil
JMLR
2023
Bilevel Optimization with a Lower-Level Contraction: Optimal Sample Complexity Without Warm-Start
Riccardo Grazzi
,
Massimiliano Pontil
,
Saverio Salzo
NeurIPS
2022
Group Meritocratic Fairness in Linear Contextual Bandits
Riccardo Grazzi
,
Arya Akhavan
,
John IF Falk
,
Leonardo Cella
,
Massimiliano Pontil
AISTATS
2021
Convergence Properties of Stochastic Hypergradients
Riccardo Grazzi
,
Massimiliano Pontil
,
Saverio Salzo
ICML
2020
On the Iteration Complexity of Hypergradient Computation
Riccardo Grazzi
,
Luca Franceschi
,
Massimiliano Pontil
,
Saverio Salzo
ICML
2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization
Giulia Denevi
,
Carlo Ciliberto
,
Riccardo Grazzi
,
Massimiliano Pontil
ICML
2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
,
Paolo Frasconi
,
Saverio Salzo
,
Riccardo Grazzi
,
Massimiliano Pontil