Mansooreh Mollaghasemi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Computational Mechanics — 11 citations into it
• Statistical Learning Theory — 11 citations into it
• Statistics and Probability — 9 citations into it

Whom Mansooreh Mollaghasemi trusts overall

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

1. Olivier Bousquet
2. Andreas Maurer
3. Peter L. Bartlett
4. Andreas Argyriou
5. Jonathan Baxter
6. Massimiliano Pontil
7. Shahar Mendelson
8. Corinna Cortes
9. Vladimir Koltchinskii

Papers from Mansooreh Mollaghasemi's perspective

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

1. Multitask Learning
2. A Model of Inductive Bias Learning
3. A Survey on Transfer Learning
4. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
5. Convex multi-task feature learning
6. Local Rademacher complexities
7. Empirical margin distributions and bounding the generalization error of combined classifiers
8. Regularized multi--task learning
9. Exploiting Task Relatedness for Mulitple Task Learning
10. Rademacher and Gaussian Complexities: Risk Bounds and Structural Results

Their papers

• Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning (2016) — 33 citations