Does boosting reduce variance at expense of bias?

Related questions

1. What is gradient boosting regression?
2. Does bagging reduce variance?
3. Does boosting reduce bias?
4. How do you calculate bias?
5. What is regression in machine learning?
6. What is gradient boosting classifier?
7. What is the main purpose of using regularization?
8. Why does regularization reduce Overfitting?
9. Why is random forest better than bagging?
10. What is light GBM?

Tags

1. #sloppy
2. #bootstrap
3. #without
4. #affects
5. #versions
6. #aggregation
7. #reduce
8. #model
9. #samples
10. #different
11. #short
12. #noticeable
13. #boosting
14. #effect
15. #decreases
16. #hardly
17. #training
18. #bagging
19. #slightly
20. #variance
21. #several
22. #unless
23. #trained