corpus.blog
41554 blogs · [ { "id": "01a08c5f-db1e-733c-865b-2be16f847180", "title": "Revisiting Racket: Advent of Code 2025 Day 2", "url": "https://vvanirudh.github.io/blog/advent_of_code_2025_day_2/", "published_at": "2025-12-02T15:03:39+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be17041c381", "title": "Revisiting Racket: Advent of Code 2025 Day 1", "url": "https://vvanirudh.github.io/blog/advent_of_code_2025_day_1/", "published_at": "2025-12-01T15:53:39+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be170aa93da", "title": "A Gentle Primer for Nonparametric Density Estimation: Kernel Density Estimation", "url": "https://vvanirudh.github.io/blog/kde/", "published_at": "2024-04-13T20:53:39+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be1718ad673", "title": "A Gentle Primer for Nonparametric Density Estimation: Histograms", "url": "https://vvanirudh.github.io/blog/nonparametric_density_estimation/", "published_at": "2024-04-07T21:33:51+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be1726d8a45", "title": "Lessons from AlphaZero: Part 3", "url": "https://vvanirudh.github.io/blog/lessons_of_alphazero_3/", "published_at": "2023-12-14T03:47:09+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be1729c6760", "title": "Lessons from AlphaZero: Part 2", "url": "https://vvanirudh.github.io/blog/lessons_of_alphazero_2/", "published_at": "2023-12-03T03:47:09+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be173288f9b", "title": "Lessons from AlphaZero: Part 1", "url": "https://vvanirudh.github.io/blog/lessons_of_alphazero_1/", "published_at": "2023-11-25T03:47:09+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be173a698d9", "title": "AdaGrad", "url": "https://vvanirudh.github.io/blog/adagrad/", "published_at": "2020-11-19T03:47:09+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be173ac157a", "title": "CMAX++: Leveraging Experience for Planning and Execution with Inaccurate Models", "url": "https://vvanirudh.github.io/blog/cmaxpp/", "published_at": "2020-10-13T18:39:32+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be173e5000a", "title": "Regret Analysis of Stochastic Bandit Problems", "url": "https://vvanirudh.github.io/blog/stochastic_bandits/", "published_at": "2020-07-23T23:09:28+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be17480d78d", "title": "Online Learning for Adversaries with Past Memory", "url": "https://vvanirudh.github.io/blog/ol_memory/", "published_at": "2020-07-10T02:33:34+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be1751d1a69", "title": "Online Newton Step", "url": "https://vvanirudh.github.io/blog/ons/", "published_at": "2020-07-04T15:12:37+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be1759f426c", "title": "Online Gradient Descent with Strongly Convex Functions", "url": "https://vvanirudh.github.io/blog/strong_convexity/", "published_at": "2020-07-03T20:52:01+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be175e760e8", "title": "Online Gradient Descent", "url": "https://vvanirudh.github.io/blog/ogd/", "published_at": "2020-07-01T16:57:48+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be1760295d9", "title": "Frank-Wolfe a.k.a Conditional Gradient Descent", "url": "https://vvanirudh.github.io/blog/frank_wolfe/", "published_at": "2020-06-28T02:15:13+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be17634249d", "title": "Forward and Reverse KL Divergence", "url": "https://vvanirudh.github.io/blog/kl/", "published_at": "2020-06-27T03:47:09+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be176412712", "title": "Hunter Thompson's letter on finding purpose", "url": "https://vvanirudh.github.io/blog/letter/", "published_at": "2020-06-17T18:39:32+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be17667db70", "title": "CMAX: Planning and Execution with Inaccurate Models", "url": "https://vvanirudh.github.io/blog/cmax/", "published_at": "2020-05-06T18:39:32+00:00" }, { "id": "01a08c5f-db1e-733c-865b-2be176a65a4a", "title": "AISTATS 2019", "url": "https://vvanirudh.github.io/blog/aistats19/", "published_at": "2019-04-19T19:59:13+00:00" }, { "id": "01a08c5f-db1f-712a-a0b1-321fcb1213e1", "title": "New York City in 35mm", "url": "https://vvanirudh.github.io/blog/newyork_pics/", "published_at": "2017-10-02T19:59:13+00:00" }, { "id": "01a08c5f-db1f-712a-a0b1-321fcbb98669", "title": "Graffiti in Pittsburgh through 35mm", "url": "https://vvanirudh.github.io/blog/pittsburgh_graffiti/", "published_at": "2017-09-22T19:59:13+00:00" } ] posts Claim your blog
Back to vvanirudh.github.io
Blog · corpus.blog/blogs/vvanirudh.github.io/posts

vvanirudh.github.io

vvanirudh.github.io

2025

Revisiting Racket: Advent of Code 2025 Day 2original ↗
2 Dec 2025
Revisiting Racket: Advent of Code 2025 Day 1original ↗
1 Dec 2025

2024

A Gentle Primer for Nonparametric Density Estimation: Kernel Density Estimationoriginal ↗
13 Apr 2024
A Gentle Primer for Nonparametric Density Estimation: Histogramsoriginal ↗
7 Apr 2024

2023

Lessons from AlphaZero: Part 3original ↗
14 Dec 2023
Lessons from AlphaZero: Part 2original ↗
3 Dec 2023
Lessons from AlphaZero: Part 1original ↗
25 Nov 2023

2020

AdaGradoriginal ↗
19 Nov 2020
CMAX++: Leveraging Experience for Planning and Execution with Inaccurate Modelsoriginal ↗
13 Oct 2020
Regret Analysis of Stochastic Bandit Problemsoriginal ↗
23 Jul 2020
Online Learning for Adversaries with Past Memoryoriginal ↗
10 Jul 2020
Online Newton Steporiginal ↗
4 Jul 2020
Online Gradient Descent with Strongly Convex Functionsoriginal ↗
3 Jul 2020
Online Gradient Descentoriginal ↗
1 Jul 2020
Frank-Wolfe a.k.a Conditional Gradient Descentoriginal ↗
28 Jun 2020
Forward and Reverse KL Divergenceoriginal ↗
27 Jun 2020
Hunter Thompson's letter on finding purposeoriginal ↗
17 Jun 2020
CMAX: Planning and Execution with Inaccurate Modelsoriginal ↗
6 May 2020

2019

AISTATS 2019original ↗
19 Apr 2019

2017

New York City in 35mmoriginal ↗
2 Oct 2017
Graffiti in Pittsburgh through 35mmoriginal ↗
22 Sept 2017