Matthäus Kleindessner
16 papers
· 2014–2023
· 6 conferences
· across top CS/AI conferences
Achievements
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🗺️
Taxonomy Completionist
(10)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(9)
🐝
Cross-Pollinator
(10)
🌈
Renaissance Researcher
(7)
🏆
Keyword Champion
(2)
📈
Trend Setter
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(78)
💎
Century Club
(16)
❓
The Questioner
(2)
🔥
Unstoppable
(5)
Conferences
ICML (6)
AISTATS (4)
NIPS (3)
COLT (1)
CVPR (1)
JMLR (1)
Top co-authors
Keywords
group fairness
(3)
algorithmic fairness
(3)
dimensionality reduction
(2)
kernel methods
(2)
fairness constraint
(2)
nearest neighbor graph
(2)
metric learning
(2)
protected attribute
(2)
spectral clustering
(1)
causal discovery
(1)
binary classification
(1)
embedding learning
(1)
adaptive augmentation
(1)
fair classification
(1)
computer vision
(1)
intrinsic dimension
(1)
principal component analysis
(1)
kernel pca
(1)
outlier detection
(1)
game theory
(1)
Papers
Efficient fair PCA for fair representation learning
AISTATS 2023
Active Sampling for Min-Max Fairness
ICML 2022
Pairwise Fairness for Ordinal Regression
AISTATS 2022
Dimensionality estimation without distances
AISTATS 2015
Uniqueness of Ordinal Embedding
COLT 2014