Revisiting Stein's paradox: multi-task averaging

By Sergey Feldman, Maya R. Gupta, Andrew Béla Frigyik. 2014

13 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Mechanics, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Qiang Yang
2. Yu Zhang
3. Mingsheng Long
4. Jianmin Wang
5. Dongrui Wu
6. Sinno Jialin Pan
7. Sebastian Ruder
8. Philip S. Yu

In Computational Mechanics

1. Qiang Yang
2. Yu Zhang

In Statistical and Nonlinear Physics

1. Qiang Yang
2. Yu Zhang

Citations in the corpus

• A Survey on Multi-Task Learning (2017, methodology): “A similar formulation to [71] is proposed in [73] to estimate themean of multiple distributions by learning pairwise task relations and another similar formulation is proposed in [74] for log-density gradient estimation.”