Nicolas Schreuder
8 papers · 2020–2025 · 7 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 · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
fair classification
(2)
kernel mean embedding
(2)
maximum mean discrepancy
(2)
classification abstention
(1)
dimension reduction
(1)
hilbert space
(1)
error handling
(1)
reproducing kernel hilbert space
(1)
stochastic process
(1)
concentration inequality
(1)
budgeted optimization
(1)
risk minimization
(1)
numerical integration
(1)
nyström method
(1)
optimal transport
(1)
generative model
(1)
risk bound
(1)
secretary problem
(1)
bias mitigation
(1)
adversarial learning
(1)
Papers
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
JMLR 2025
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
COLT 2025
Addressing Bias in Online Selection with Limited Budget of Comparisons
NeurIPS 2024
Fair learning with Wasserstein barycenters for non-decomposable performance measures
AISTATS 2023
Nyström Kernel Mean Embeddings
ICML 2022
Classification with abstention but without disparities
UAI 2021
Statistical guarantees for generative models without domination
ALT 2021
A nonasymptotic law of iterated logarithm for general M-estimators
AISTATS 2020