Seungil You

Artificial Intelligence · 2018

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

Subfields

• Artificial Intelligence — 30 citations into it; #29,512 of 35,345 by trust here, #18,586 by citations

Whom Seungil You trusts overall

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

1. Harikrishna Narasimhan

Who trusts Seungil You overall

1. Heinrich Jiang
2. Ofir Nachum

Papers from Seungil You's perspective

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

1. Equality of Opportunity in Supervised Learning
2. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
3. Learning Non-Discriminatory Predictors
4. Problem Complexity and Method Efficiency in Optimization
5. A Reductions Approach to Fair Classification
6. Mirror descent and nonlinear projected subgradient methods for convex optimization
7. Empirical Risk Minimization under Fairness Constraints
8. Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
9. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
10. The Multiplicative Weights Update Method: a Meta-Algorithm and Applications

Their papers

• Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals (2018) — 191 citations
• Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints (2018) — 119 citations