Anirudh’s Blog

Posts are usually about Machine Learning, Robotics, and Mathematics.

2024/04/13 A Gentle Primer for Nonparametric Density Estimation: Kernel Density Estimation
2024/04/07 A Gentle Primer for Nonparametric Density Estimation: Histograms
2023/12/13 Lessons from AlphaZero: Part 3
2023/12/02 Lessons from AlphaZero: Part 2
2023/11/24 Lessons from AlphaZero: Part 1
2020/11/18 AdaGrad
2020/10/13 CMAX++: Leveraging Experience for Planning and Execution with Inaccurate Models
2020/07/23 Regret Analysis of Stochastic Bandit Problems
2020/07/09 Online Learning for Adversaries with Past Memory
2020/07/04 Online Newton Step
2020/07/03 Online Gradient Descent with Strongly Convex Functions
2020/07/01 Online Gradient Descent
2020/06/27 Frank-Wolfe a.k.a Conditional Gradient Descent
2020/06/26 Forward and Reverse KL Divergence
2020/06/17 Hunter Thompson’s letter on finding purpose
2020/05/06 CMAX: Planning and Execution with Inaccurate Models
2019/04/19 AISTATS 2019
2017/10/02 New York City in 35mm
2017/09/22 Graffiti in Pittsburgh through 35mm