Deeparnab Chakrabarty

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Organizational Behavior and Human Resource Management — 6 citations into it
• Algorithms & Complexity — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Deeparnab Chakrabarty trusts overall

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

1. Clemens Rösner
2. David Arthur
3. Sérgio Moro
4. Melanie Schmidt
5. Flavio Chierichetti
6. Sergei Vassilvitskii
7. Jaroslaw Byrka
8. Arturs Backurs
9. L. Elisa Celis

Who trusts Deeparnab Chakrabarty overall

1. Serena Wang
2. Arturs Backurs

Papers from Deeparnab Chakrabarty's perspective

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

1. Certifying and Removing Disparate Impact
2. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
3. Fairness through awareness
4. Learning Fair Representations
5. Local Search Heuristics for k-Median and Facility Location Problems
6. Fairness in Learning: Classic and Contextual Bandits
7. k-NN as an implementation of situation testing for discrimination discovery and prevention
8. Fair Clustering Through Fairlets
9. Privacy preserving clustering with constraints
10. A data-driven approach to predict the success of bank telemarketing

Their papers

• Fair Algorithms for Clustering (2019) — 292 citations