Riccardo Grazzi
10 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🏆 Keyword Champion (2)
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The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Learning Paradigms · Artificial Intelligence
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Core Methods
(3)
Learning Paradigms · Machine Learning
(3)
Optimization
(3)
Architectures
(2)
Core AI
(2)
Application Areas
(1)
Learning Types
(1)
Techniques
(1)
Keywords
hyperparameter optimization
(4)
bilevel optimization
(3)
approximate implicit differentiation
(2)
stochastic approximation
(2)
online learning
(2)
contraction mapping
(2)
implicit differentiation
(1)
statistical learning theory
(1)
few-shot learning
(1)
transformer
(1)
gradient descent
(1)
sample complexity
(1)
natural language processing
(1)
state representation learning
(1)
generalization
(1)
ridge regression
(1)
learning to learn
(1)
state space model
(1)
contextual bandit
(1)
in-context learning
(1)
Papers
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
ICLR 2025
Is Mamba Capable of In-Context Learning?
AutoML 2024
Learning invariant representations of time-homogeneous stochastic dynamical systems
ICLR 2024
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
ICML 2024
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
JMLR 2023
Group Meritocratic Fairness in Linear Contextual Bandits
NeurIPS 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