Nicolas Schreuder
8 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (16) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7)
🏃
Academic Marathon
(5)
🐝
Cross-Pollinator
(9)
🏆
Keyword Champion
(2)
🔥
Unstoppable
(6)
Conferences
AISTATS (2)
ALT (1)
COLT (1)
ICML (1)
JMLR (1)
NIPS (1)
UAI (1)
Top co-authors
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
The late-stage training dynamics of (stochastic) subgradient descent on homogeneous neural networks
COLT 2025
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
JMLR 2025
Addressing Bias in Online Selection with Limited Budget of Comparisons
NIPS 2024
Fair learning with Wasserstein barycenters for non-decomposable performance measures
AISTATS 2023
Nyström Kernel Mean Embeddings
ICML 2022
Statistical guarantees for generative models without domination
ALT 2021
Classification with abstention but without disparities
UAI 2021
A nonasymptotic law of iterated logarithm for general M-estimators
AISTATS 2020