Riccardo Grazzi
10 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (7) π Cross-Pollinator (10)
πΊοΈ
Taxonomy Completionist
(13)
π
Conference Polyglot
(6)
π
Century Club
(10)
π₯
Unstoppable
(8)
β
The Questioner
Conferences
ICML (4)
ICLR (2)
AISTATS (1)
AUTOML (1)
JMLR (1)
NIPS (1)
Top co-authors
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