# Writing

### A Reliable Contextual Bandit Algorithm: LinUCB

In this post, we learn about contextual bandits and the reliable linUCB algorithm.

### Contextual Bandits as Supervised Learning

This posts explains contextual bandits as a generalization of supervised learning.

### How to Understand Recommender Systems

The wide literature on recommender systems obscures their commonalities. This post highlights what makes them similar, offering a simplifying perspective.

### Evaluating Recommender Systems

A few things worth considering when evaluating a recommender system.

### Randomized Numerical Linear Algebra

Some follow up questions from my video on Randomized Numerical Linear Algebra

### A View into Government Cybersecurity

I attended the Rocky Mountain Cyberspace Symposium to understand government and industry efforts to bolster the nation's cybersecurity.

### Reinforcement Learning at Lyft

A few comments on the Reinforcement Learning work done by my colleagues at Lyft

### When does the Delta Method approximation work?

I explore when the Delta Method approximation works and fails.

### Good Data Science is Mostly Dispatch

Most of what explains a job well done is the choice of tool.

### Summaries

This briefly summarizes each part of the series on Probabilistic Graphical Models.