Archive

adaptive sequential decision making

[Bandit] 2. Explore-Then-Commit algorithm 5 Mar, 2021
[Bandit] 1. Introduction to Multi-armed Bandit 5 Mar, 2021

real analysis

[Real Analysis] Ch 4. Hilbert Space Theory 11 Apr, 2021
[Real Analysis] Ch 2. Construction of Lebesgue Measure 22 Mar, 2021
[Real Analysis] Ch 1. Measurable Space and Integration 4 Mar, 2021

non-parametric

[Nonparametric] 4. Multivariate Kernel Density Estimation 19 Mar, 2021
[Nonparametric] 3. Bandwidth Selection 18 Mar, 2021
[Nonparametric] 2. Univariate Kernel Density Estimation 13 Mar, 2021
[Nonparametric] 1. Brief Introduction to Nonparametric function estimation 3 Mar, 2021

statistical learning

[Statistical Learning] 3. Shrinkage Estimators 17 Mar, 2021
[Statistical Learning] 2. Linear classifiers 15 Mar, 2021
[Statistical Learning] 1. Overview of Supervised Learning 2 Mar, 2021

bayesian

Understanding Latent Dirichlet Allocation (5) Smooth LDA 16 Feb, 2021
Understanding Latent Dirichlet Allocation (4) Gibbs Sampling 16 Feb, 2021
Understanding Latent Dirichlet Allocation (3) Variational EM 14 Feb, 2021
Understanding Latent Dirichlet Allocation (2) The Model 14 Feb, 2021

natural language processing

Understanding ELMo 24 Feb, 2021
Understanding Latent Dirichlet Allocation (5) Smooth LDA 16 Feb, 2021
Understanding Latent Dirichlet Allocation (4) Gibbs Sampling 16 Feb, 2021
Understanding Latent Dirichlet Allocation (3) Variational EM 14 Feb, 2021
Understanding Latent Dirichlet Allocation (2) The Model 14 Feb, 2021
Understanding Latent Dirichlet Allocation (1) Backgrounds 14 Feb, 2021
Understanding FastText 8 Feb, 2021
Understanding Skip Gram 7 Feb, 2021
Understanding Neural Probabilistic Language Model 4 Feb, 2021

information theory

A metric derived from KL divergence 4 May, 2020

linear model

Limitation of $R^2$ 28 Apr, 2020

probability

(PTE) 4.8. Optional stopping theorem 21 Jan, 2021
(PTE) 4.5. Square integrable martingales 21 Jan, 2021
(PTE) 4.6.3. Riez's decomposition 21 Jan, 2021
(PTE) 4.6.2. Levy's theorem 21 Jan, 2021
(PTE) 4.6.1. Uniform integrability and convergence in $L^1$ 20 Jan, 2021
(PTE) 4.4. Martingale inequalities and convergence in $L^p$ 28 Dec, 2020
(PTE) 4.3. Application of martingales 28 Dec, 2020
(PTE) 4.2. Martingales and a.s. convergence 27 Dec, 2020
(PTE) 4.1. Conditional expectation 26 Dec, 2020
(PTE) 3.9. Infinitely divisible distributions 25 Dec, 2020
(PTE) 3.10. Limit theorems in ℝᵈ 23 Dec, 2020
(PTE) 3.6. Poisson convergence 23 Dec, 2020
(PTE) 3.4. Central limit theorem 23 Dec, 2020
(PTE) 3.3. Characteristic functions 22 Dec, 2020
(PTE) 3.2.2. Vague convergence and uniform tightness 22 Dec, 2020
(PTE) 3.2.1. Weak convergence 21 Dec, 2020
(PTE) 2.S1. Convergence concepts 21 Dec, 2020
(PTE) 2.5. Convergence of random series 21 Dec, 2020
(PTE) 2.4. Strong law of large numbers 21 Dec, 2020
(PTE) 2.3. Borel-Cantelli lemmas 20 Dec, 2020
(PTE) 2.2. Weak laws of large numbers 20 Dec, 2020
(PTE) 2.1. Independence 20 Dec, 2020
(PTE) 1.7. Product space 19 Dec, 2020
(PTE) 1.6. $L^p$ space 19 Dec, 2020
(PTE) 1.5. Convergence theorems and elementary inequalities 19 Dec, 2020
(PTE) 1.4. The Lebesgue integral 19 Dec, 2020
(PTE) 1.3. Random variables 18 Dec, 2020
(PTE) 1.2. Distributions 18 Dec, 2020
(PTE) 1.1. Basics on measure theory 18 Dec, 2020
Application of Dynkin's π-λ theorem 13 May, 2020
Kolmogorov's maximal inequality with shifted starting point 8 May, 2020
Determination of random variables and random number generation 30 Apr, 2020
Borel-Cantelli lemmas are converses of each other 29 Apr, 2020
Irregularity of almost sure convergence 27 Apr, 2020
Strong law of large numbers 25 Apr, 2020
High-dimensional box 24 Apr, 2020

decision theory

The slowest run vs. the fastest walk: which is faster? 22 May, 2020
Logistic, cross-entropy loss의 확률론적 의미 3 May, 2018

machine learning

Understanding ELMo 24 Feb, 2021
Understanding Latent Dirichlet Allocation (5) Smooth LDA 16 Feb, 2021
Understanding Latent Dirichlet Allocation (4) Gibbs Sampling 16 Feb, 2021
Understanding Latent Dirichlet Allocation (3) Variational EM 14 Feb, 2021
Understanding Latent Dirichlet Allocation (2) The Model 14 Feb, 2021
Understanding FastText 8 Feb, 2021
Understanding Skip Gram 7 Feb, 2021
Understanding Neural Probabilistic Language Model 4 Feb, 2021
Setting up M1 Mac for both TensorFlow and PyTorch 28 Jan, 2021
Weakly-Supervised Localization: 뉴럴넷은 어디를 바라보고 있는가 17 Jun, 2018
Batch Normalization 이해하기 28 May, 2018
Convolutional Neural Network (CNN) 이해하기 27 May, 2018
인공신경망 이해하기 (4) 학습 과정 - 디테일 19 Apr, 2018
인공신경망 이해하기 (3) 학습 과정 - 개요 18 Apr, 2018
인공신경망 이해하기 (2) 퍼셉트론과 신경망 16 Apr, 2018
인공신경망 이해하기 (1) 선형 분류기 16 Apr, 2018

applied

$k$-mer Sequence Motif는 얼마나 자주 등장할까 25 Oct, 2018
2017 대선 후보 지지층 군집분석 27 Apr, 2017

thoughts

의식을 이식하기 22 Mar, 2017

Author | Sihyung Park

An M.S. student majoring in Statistics. Hope my works lead to meaningful results.