SUMIN PARK
SUMIN PARK

Interested in Geometric Deep Neural Networks and Their Phyiscal Applications

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2024 © SUMIN PARK

  • ALL (180)
  • PAPERS
    Convolutional Neural Networks (6) Transformer (3) Optimization (2) Representation (1) Object Detection (5) Generative Models (1) Graph Neural Networks (10)
  • DL
    Deep Learning Specialization (6) cs231n (Stanford) (7) Signals & Systems (9)
  • ML
    CS229 (4) Optimization (9) Information Theory (1) Reinforcement Learning (1) Spectral Graph Theory (1)
  • PHYSICS
    Classical Mechanics (1) Special Relativity (1) Electromagnetism (1)
  • PYTHON
    Algorithms (22) Crawling (3)
  • MATH
    Vector Calculus (5) Linear Algebra (29) Multivariate Calculus (11) Tensor Calculus (1) Differential Equation (1) Differential Geometry (2) Matlab (2)
  • STATISTICS
    Various Topics (14) Statistics for Application (MIT 18.650) (4)
  • DATA-ENGINEERING
    Hadoop Ecosystem(5)
  • PSM
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  • TAGS

[Chi-Squared 04] Chi-Squared Distribution and Sample Variance with Normality Assumption

Proof that sample variance with sample size n follws chi-squared distribution with n-1 DF    ...

2023, Mar 13   —  1 minute read

[Chi-Squared 03] Infinite Product Form & Integral Form of Gamma Function

Derivation of infinite product form and integral form of gamma function Infinite Product Form &...

2023, Mar 12   —  1 minute read

[Chi-Squared 02] Recurrence Relation for Chi-squared Distribution with n DF

Derivation of recurrence relation of Chi-squared distribution with n degrees of freedom Recurrence Relation for...

2023, Mar 10   —  1 minute read

[Chi-Squared 01] Chi-Squared Distribution with 1 & 2 Degrees of Freedom

Derivation of Chi-squared distribution with 1 and 2 degrees of freedom Chi-Squared Distribution with 1...

2023, Mar 10   —  1 minute read

[Convex Optimization] Primal-Dual Interior-Point Method (PD-IPM)

also uses perturbed KKT as IPM-B, but doen’t explicitly uses barrier method instead, solving primal-dual...

2023, Mar 09   —  1 minute read

[Stanford CS229 04] Generative Leaning - GDA & Naive Bayes

OUTLINES Generative Learning Algorithms GDA Naive Bayes 1. Generative Learning Algorithms Generative Learning Algorithm model...

2023, Mar 07   —  5 minute read

[Convex Optimization] Karush Kuhn Tucker (KKT) Conditions and Strong Duality

Summary Notes Convex Optimization 3 - Karush Kuhn Tucker (KKT) Conditions and Strong Duality Applications...

2023, Mar 06   —  1 minute read

[Statistics] Hoeffding's Lemma and Hoeffding Inequality Proof

Hoeffding’s Lemma and Hoeffding Inequality Proof

2023, Mar 05   —  1 minute read

[Stanford CS229 03] Generalized Linear Model (GLM) and Softmax Regression

OUTLINES Exponential Family Generalized Linear Models Softmax Regression (Multiclass Classification) 1. Exponential Family Distribution is...

2023, Mar 05   —  4 minute read

[MIT 18.650 04] Fisher Information to Measure Curvature of MLE

Lectures Provided from MIT OpenCourseWare Statistics for Applications, Fall 2016 Contains the topics disccused from...

2023, Mar 04   —  1 minute read
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