← Authors

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

Chris Russell (7) Jamie Morgenstern (5) Pranjal Awasthi (5) Francesco Locatello (4) Bernhard Schölkopf (3) Muhammad Bilal Zafar (2) Ulrike Von Luxburg (2) Michael Lohaus (2) Krishnaram Kenthapadi (2) Ulrike Luxburg (2)

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
When do Minimax-fair Learning and Empirical Risk Minimization Coincide? ICML 2023
Active Sampling for Min-Max Fairness ICML 2022
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks NIPS 2022
Pairwise Fairness for Ordinal Regression AISTATS 2022
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models ICML 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers CVPR 2022
Individual Preference Stability for Clustering ICML 2022
Backward-Compatible Prediction Updates: A Probabilistic Approach NIPS 2021
Equalized odds postprocessing under imperfect group information AISTATS 2020
Guarantees for Spectral Clustering with Fairness Constraints ICML 2019
Fair k-Center Clustering for Data Summarization ICML 2019
Lens Depth Function and k-Relative Neighborhood Graph: Versatile Tools for Ordinal Data Analysis JMLR 2017
Kernel functions based on triplet comparisons NIPS 2017
Dimensionality estimation without distances AISTATS 2015
Uniqueness of Ordinal Embedding COLT 2014