Dhamma Kimpara
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Privacy & Security — 8 citations into it
Whom Dhamma Kimpara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Dhamma Kimpara's perspective
Ordered by how strongly the researchers Dhamma Kimpara trusts endorse each paper. Same corpus, a different order for every researcher.
- Fairness through awareness
- Equality of Opportunity in Supervised Learning
- Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
- Differential privacy and robust statistics
- Pseudorandom Bits for Polynomials
- Multicalibration: Calibration for the (Computationally-Identifiable) Masses
- The Algorithmic Foundations of Differential Privacy
- Smooth sensitivity and sampling in private data analysis
- Learning Non-Discriminatory Predictors
- Learning with Complex Loss Functions and Constraints
Their papers
- On the Compatibility of Privacy and Fairness (2019) — 181 citations