Andrew Fairless, Ph.D.

2025-08-18

What I Read: Convolutions, Polynomials
2024-10-24

What I Read: Kernel, Convolutional Representations
2024-03-13

What I Read: Smooth Noisy Data
2024-01-24

What I Read: Density Kernel Depth for Outlier Detection
2023-06-19

What I Read: Tree-Structured Parzen Estimator
2022-11-02

What I Read: Neural Tangent Kernel
2022-02-09

What I Read: Dataset Distillation
2021-11-18

What I Read: Machine learning is just statistics + quantifier reversal
2021-11-17

What I Read: First-Principles Theory of Neural Network Generalization
2021-10-13

What I Read: Mystery of Deep Learning
2021-02-07

What I Read: Attention with Performers
2020-12-19

What I Read: Diffusion Map for manifold learning