[Graph Theory] Markov Chains : Part 2 - Spectral View of Markov Chains and Random Walks
Outlines References 1. Eigenspace of Transition Matrix 2. Spectral Analysis of Markov Chains 2.1. Persistent...
2024, Apr 09 — 3 minute readOutlines References 1. Eigenspace of Transition Matrix 2. Spectral Analysis of Markov Chains 2.1. Persistent...
2024, Apr 09 — 3 minute readExponential Distribution Gamma Function & Distribution Beta Distribution Dirichlet Distribution & Dirichlet Process
2024, Feb 15 — 1 minute readOutlines References 1. Markov Process 2. Evolution of Markov Chains 2.1. Stationary Distribution and Eigendecomposition...
2024, Jan 05 — 14 minute readOutlines References 1. Weak Generalization Power of Sharp Minima 2. Sharpness-Aware Minimization (SAM) 2.1. PAC...
2023, Dec 07 — 6 minute readReferences An Introduction to PAC-Bayes User-friendly introduction to PAC-Bayes bounds, Alquier et al., 2021 PAC...
2023, Dec 06 — 1 minute readNotes 01_Recap_Multivariate Calculus 02_Covector and Contravariance 03_Tensor Product - Raising and Lower Index with Metric...
2023, Nov 29 — 1 minute readOutlines Reference 1. Weisfeiler-Lehman Graph Isomorphism Test 1.1. WL Test 1.2. k-WL Test 1.3. k-FWL...
2023, Nov 22 — 5 minute readNote that all summaries here are for personal purpose to better understand mathematical details of...
2023, Nov 14 — 3 minute readOutlines Reference HGCN : Implementing GCN in Hyperbolic Space 0. Hyperboloid Model 1. HGCN Layer...
2023, Oct 23 — 35 minute readOutlines Reference 1. Limitations of Euclidean Space to Represent the Hierarchical Data 2. Hyperbolic Geometry...
2023, Oct 13 — 11 minute read