Michele Donini
12 papers · 2017–2024 · 10 conferences · across top CS/AI conferences
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Conferences
ICML (2)
NIPS (2)
AAAI (1)
ACL (1)
AISTATS (1)
EMNLP (1)
IJCAI (1)
IJCNLP (1)
INTERSPEECH (1)
JMLR (1)
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Research topics
Keywords
kernel methods
(2)
hyperparameter optimization
(2)
deep neural network
(2)
transfer learning
(2)
semidefinite programming
(1)
multitask learning
(1)
multi-task learning
(1)
online algorithm
(1)
conformal prediction
(1)
uncertainty quantification
(1)
ai education
(1)
text generation
(1)
bayesian inference
(1)
empirical risk minimization
(1)
kernel pca
(1)
low-rank approximation
(1)
maximum mean discrepancy
(1)
student learning
(1)
principal component analysis
(1)
algorithmic fairness
(1)
Papers
Fortuna: A Library for Uncertainty Quantification in Deep Learning
JMLR 2024
Explaining Probabilistic Models with Distributional Values
ICML 2024
Geographical Erasure in Language Generation
EMNLP 2023
Model AI Assignments 2023
AAAI 2023
Efficient fair PCA for fair representation learning
AISTATS 2023
On the Lack of Robust Interpretability of Neural Text Classifiers
IJCNLP 2021
On the Lack of Robust Interpretability of Neural Text Classifiers
ACL 2021
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning
NIPS 2020
Marthe: Scheduling the Learning Rate Via Online Hypergradients
IJCAI 2020
Empirical Risk Minimization Under Fairness Constraints
NIPS 2018
A Speaker Adaptive DNN Training Approach for Speaker-Independent Acoustic Inversion
INTERSPEECH 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
ICML 2017