Bo Waggoner

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Privacy & Security — 17 citations into it
• Management Science and Operations Research — 7 citations into it
• Algorithms & Complexity — 5 citations into it

Whom Bo Waggoner trusts overall

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

1. Cynthia Dwork
2. Moritz Hardt
3. Aaron Roth
4. Ú. Erlingsson
5. Raef Bassily
6. Matthew Joseph

Papers from Bo Waggoner's perspective

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

1. Fairness through awareness
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. Equality of Opportunity in Supervised Learning
4. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
5. Certifying and Removing Disparate Impact
6. Fairness-aware Learning through Regularization Approach
7. Inherent Trade-Offs in the Fair Determination of Risk Scores
8. Differentially Private Empirical Risk Minimization
9. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
10. Interactive privacy via the median mechanism

Their papers

• Local Differential Privacy for Evolving Data (2018) — 98 citations
• Equal Opportunity in Online Classification with Partial Feedback (2019) — 67 citations