Baruch Schieber
JACM · 2001–2019
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom Baruch Schieber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Baruch Schieber overall
Papers from Baruch Schieber's perspective
Ordered by how strongly the researchers Baruch Schieber trusts endorse each paper. Same corpus, a different order for every researcher.
- A data-driven approach to predict the success of bank telemarketing
- Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
- Fair Clustering Through Fairlets
- Privacy preserving clustering with constraints
- Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
- Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
- The Frontiers of Fairness in Machine Learning
- Impact of HbA1c Measurement on Hospital Readmission Rates: Analysis of 70,000 Clinical Database Patient Records
- Fair Coresets and Streaming Algorithms for Fair k-Means Clustering
- Performance of Johnson-Lindenstrauss transform for k-means and k-medians clustering
Their papers
- A unified approach to approximating resource allocation and scheduling (2001) — 394 citations
- Scalable Fair Clustering (2019) — 232 citations