1 INTRODUCTION

2 PHOTO-Z ALGORITHMS
2.1 Template-fitting redshift estimators
2.2 Nearest-neighbor redshift probability estimators
2.3 Nearest-neighbor polynomial fitting redshift estimators

3 SIMULATED DATA

4 WEAK LENSING BIAS

5 RESULTS
5.1 Spectroscopic redshift variance vs. photo-z variance
5.2 Sample variance in photo-z training
5.3 Sample variance in photo-z calibration
5.4 Dependence on simulations and parameterizations

6 DISCUSSION: CAN THINGS BE IMPROVED?
6.1 Performed tests
6.2 Other possible improvements

7 GUIDE FOR OBSERVING PROPOSALS

8 CONCLUSIONS