Konstantin Donhauser
13 papers · 2021–2025 · 6 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 ↓+6 more ↓ Show less ↑
π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (11)
π§
Keyword Pioneer
π€
Dynamic Duo
(11)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(70)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(11)
Core Methods
(6)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Core AI
(4)
Mathematics
(3)
Application Areas
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Security & Privacy
(1)
Architectures
(1)
Clinical
(1)
Differential Privacy
(1)
Learning Types
(1)
Keywords
benign overfitting
(2)
randomized trial
(2)
statistical test
(2)
inductive bia
(2)
genetic perturbation
(2)
model fusion
(1)
minimax optimality
(1)
causal inference
(1)
generalization error
(1)
sparse regression
(1)
high-dimensional regression
(1)
high-dimensional analysis
(1)
kernel regression
(1)
kernel ridge regression
(1)
text generation
(1)
support vector machine
(1)
observational study
(1)
l1 regularization
(1)
generalization bound
(1)
private data release
(1)
Papers
Copyright-Protected Language Generation via Adaptive Model Fusion
ICLR 2025
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
ICML 2025
ViTally Consistent: Scaling Biological Representation Learning for Cell Microscopy
ICML 2025
Certified private data release for sparse Lipschitz functions
AISTATS 2024
Detecting critical treatment effect bias in small subgroups
UAI 2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials
AISTATS 2024
Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent
ICML 2024
Tight bounds for maximum β_1-margin classifiers
ALT 2024
Strong inductive biases provably prevent harmless interpolation
ICLR 2023
Fast rates for noisy interpolation require rethinking the effect of inductive bias
ICML 2022
Tight bounds for minimum β_1-norm interpolation of noisy data
AISTATS 2022
How rotational invariance of common kernels prevents generalization in high dimensions
ICML 2021
Interpolation can hurt robust generalization even when there is no noise
NeurIPS 2021