Jason Cheuk Nam Liang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Jason Cheuk Nam Liang trusts overall

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

1. Dimitris J. Bertsimas
2. Niko Speybroeck
3. R. Heale
4. Adam N. Elmachtoub
5. Sina Aghaei
6. Bryan Wilder
7. Nathan Kallus
8. Jack Dunn

Who trusts Jason Cheuk Nam Liang overall

1. Ali Aouad

Papers from Jason Cheuk Nam Liang's perspective

Ordered by how strongly the researchers Jason Cheuk Nam Liang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Optimal classification trees
2. Classification and regression trees
3. Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making
4. Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization (AAAI Conference on Artificial Intelligence)
5. From Predictive to Prescriptive Analytics
6. Smart "Predict, then Optimize"
7. What is a case study? (Evidence Based Journals)
8. Best Subset Selection via a Modern Optimization Lens
9. A Stochastic Approximation Method
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Decision Trees for Decision-Making under the Predict-then-Optimize Framework (2020) — 147 citations