Alessio Mazzetto
8 papers · 2021–2025 · 4 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🏆
Keyword Champion
(3)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(5)
Optimization & Theory
(4)
Mathematics & Optimization
(3)
Core Methods
(2)
Optimization
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Probability
(1)
Keywords
distribution drift
(3)
lower bound
(2)
adaptive algorithm
(2)
label noise
(2)
label aggregation
(2)
weak supervision
(2)
binary classification
(1)
online learning
(1)
zero-shot learning
(1)
majority vote
(1)
empirical risk minimization
(1)
multi-class classification
(1)
kernel smoothing
(1)
distribution shift
(1)
semi-supervised learning
(1)
nonparametric density estimation
(1)
linear regression
(1)
stochastic process
(1)
weakly supervised learning
(1)
adversarial learning
(1)
Papers
An Adaptive Method for Weak Supervision with Drifting Data
AISTATS 2025
Center-Based Approximation of a Drifting Distribution
ALT 2025
An Improved Algorithm for Learning Drifting Discrete Distributions
AISTATS 2024
An Adaptive Algorithm for Learning with Unknown Distribution Drift
NeurIPS 2023
Nonparametric Density Estimation under Distribution Drift
ICML 2023
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
NeurIPS 2022
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
ICML 2021
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees
AISTATS 2021