← Authors

Riccardo Grazzi

10 papers · 2018–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (13) 🌍 Conference Polyglot (6) πŸ’Ž Century Club (10) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

ICML (4) ICLR (2) AISTATS (1) AUTOML (1) JMLR (1) NIPS (1)

Top co-authors

Massimiliano Pontil (9) Saverio Salzo (5) Luca Franceschi (2) Frank Hutter (2) Karim Lounici (1) Arya Akhavan (1) John IF Falk (1) Pietro Novelli (1) Arber Zela (1) JΓΆrg K.H. Franke (1)

Keywords

hyperparameter optimization (4) bilevel optimization (3) online learning (2) stochastic approximation (2) contraction mapping (2) learning to learn (1) contextual bandit (1) iteration complexity (1) task distribution (1) mean square error (1) fixed point iteration (1) stochastic method (1) bilevel programming (1) hypergradient computation (1) approximate implicit differentiation (1) relative rank (1) stochastic gradient descent (1) biased regularization (1) few-shot learning (1) ridge regression (1)

Papers

Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues ICLR 2025
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates ICML 2024
Is Mamba Capable of In-Context Learning? AUTOML 2024
Learning invariant representations of time-homogeneous stochastic dynamical systems ICLR 2024
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023
Group Meritocratic Fairness in Linear Contextual Bandits NIPS 2022
Convergence Properties of Stochastic Hypergradients AISTATS 2021
On the Iteration Complexity of Hypergradient Computation ICML 2020
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization ICML 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning ICML 2018