Laura Toni
8 papers · 2019–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
π
Conference Polyglot Β· Bronze
π
Academic Marathon Β· Sprint
π
Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(21)
π£
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Artificial Intelligence
(4)
Core AI
(3)
Core Methods
(3)
Learning Types
(3)
Mathematics & Optimization
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Learning Paradigms
(1)
Mathematics
(1)
Methods
(1)
Optimization
(1)
Keywords
generalization error
(3)
gibbs algorithm
(2)
reinforcement learning
(2)
learning theory
(1)
online learning
(1)
graph laplacian
(1)
semi-supervised learning
(1)
entropy minimization
(1)
function approximation
(1)
graph representation learning
(1)
kl divergence
(1)
sample complexity
(1)
covariate shift
(1)
policy iteration
(1)
graph embedding
(1)
transfer learning
(1)
value function approximation
(1)
alternating optimization
(1)
distribution shift
(1)
representation learning
(1)
Papers
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
ICML 2025
Heterogeneous Graph Structure Learning through the Lens of Data-generating Processes
AISTATS 2025
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
AISTATS 2025
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
AISTATS 2022
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
AISTATS 2022
An Exact Characterization of the Generalization Error for the Gibbs Algorithm
NeurIPS 2021
Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis
AISTATS 2020
Representation Learning on Graphs: A Reinforcement Learning Application
AISTATS 2019