Andrew Fairless, Ph.D.
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Entries tagged :: bias
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2025-04-22
What I Read: statistical intuitions
2024-11-07
What I Read: Regularization, polynomial bases
2024-09-24
What I Read: What’s Fair, What’s Hard
2022-03-29
What I Read: Statistical Critiques That Don’t Quite Work
2021-09-21
What I Read: Dissecting “Noise”
2021-06-29
What I Read: Comprehensive Guide to Ensemble Learning
2021-05-13
What I Read: 3 Statistical Paradoxes
2021-04-20
What I Read: AutoML, Multi-task learning, Multi-tower models, Ads
2021-02-07
What I Read: Attention with Performers
2021-02-07
What I Read: Reproducing Deep Double Descent
2021-02-06
What I Read: Deep Double Descent: Where Bigger Models and More Data Hurt
2021-01-10
What I Read: A winners curse adjustment
2021-01-02
What I Read: Five Cognitive Biases
