Chris Schwiegelshohn

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #27,787 of 35,345 by trust here, #26,682 by citations
• Signal Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Safety, Robustness & Interpretability — 7 citations into it
• Computer Graphics and Computer-Aided Design — 6 citations into it
• Computational Mechanics — 5 citations into it

Whom Chris Schwiegelshohn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David Arthur
2. Dan Feldman
3. Sergei Vassilvitskii
4. Anthony W. Flores
5. Melanie Schmidt
6. Pankaj Kumar Agarwal
7. Flavio Chierichetti
8. Sariel Har-Peled
9. Michael B. Cohen
10. Hendrik Fichtenberger

Who trusts Chris Schwiegelshohn overall

1. Sina Baharlouei

Papers from Chris Schwiegelshohn's perspective

Ordered by how strongly the researchers Chris Schwiegelshohn trusts endorse each paper. Same corpus, a different order for every researcher.

1. On coresets for k-means and k-median clustering
2. Certifying and Removing Disparate Impact
3. Least squares quantization in PCM
4. k-means++: the advantages of careful seeding
5. Equality of Opportunity in Supervised Learning
6. Approximating extent measures of points (JACM)
7. Algorithmic Decision Making and the Cost of Fairness
8. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
9. Clustering Data Streams: Theory and Practice
10. Some methods for classification and analysis of multivariate observations

Their papers

• Fair Coresets and Streaming Algorithms for Fair k-Means Clustering (2018) — 42 citations
• BICO: BIRCH Meets Coresets for k-Means Clustering (2013) — 79 citations