📐 Linear Algebra - gautam6599123

Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification

🕸️Graph Theory Academic

arxiv.org·

Statistical and Numerical Convergence in Stochastic Equilibrium

📊Optimization Academic

arxiv.org·

An indefinite LOBPCG type of algorithm for detecting a definite Hermitian matrix pair

🔢Numerical Methods Academic

arxiv.org·

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

📈Statistical Learning Code

github.com··Hacker News

Quaternion Maximum-Volume Submatrix Selection with Applications to Multichannel Imaging and Visual Data

🔢Numerical Methods Academic

arxiv.org·

Show HN: pypoLCA – Latent Class Analysis and Regression in Python

🎲Probability Theory Code

github.com··Hacker News

Low-Variance Randomised Numerical Linear Algebra for Finite Element Simulation

🔢Numerical Methods Academic

arxiv.org·

Vector Space of Cycles

📡Information Theory Academic

arxiv.org·

Efficient Mean Curvature Computation on High-Dimensional Data Manifolds

🧠Neural Networks Academic

arxiv.org·

Smooth Hard-Thresholding for Singular Values with Stein's Unbiased Risk Estimate

🔢Numerical Methods Academic

arxiv.org·

A Perturbed q-Tsallis Self-Concordant Barrier for Spectrally Robust Semidefinite Programming

🎯Optimization Theory Academic

arxiv.org·

TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

📈Statistical Learning Academic

arxiv.org·

On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem

🎯Optimization Theory Academic

arxiv.org·

Rayforce

💻Computer Science Code

github.com··Lobsters, Hacker News

Adjacency Spectral Radius Under Laplacian Sparsification: Deterministic and Probabilistic Bounds

⛰️Convex Analysis Academic

arxiv.org·

A New Level Set Formulation for Improved Dirichlet Eigenvalue Minimizers

📊Optimization Academic

arxiv.org·

An algebraic multiscale preconditioner for large sparse SPD matrices

🔢Numerical Methods Academic

arxiv.org·

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings

🗣️Large Language Models Academic

arxiv.org·

markusheimerl/gpt: A generative pretrained transformer implementation

Optimal Control and Dissipativity of Linear Hermitian Matrix-Valued Dynamical Systems

Graph-Guided Universum Learning in Generalized Eigenvalue Proximal SVMs for Alzheimer's Disease Classification

Statistical and Numerical Convergence in Stochastic Equilibrium

An indefinite LOBPCG type of algorithm for detecting a definite Hermitian matrix pair

ml-from-scratch-book/code: Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch.

Quaternion Maximum-Volume Submatrix Selection with Applications to Multichannel Imaging and Visual Data

Show HN: pypoLCA – Latent Class Analysis and Regression in Python

Low-Variance Randomised Numerical Linear Algebra for Finite Element Simulation

Vector Space of Cycles

Efficient Mean Curvature Computation on High-Dimensional Data Manifolds

Smooth Hard-Thresholding for Singular Values with Stein's Unbiased Risk Estimate

A Perturbed q-Tsallis Self-Concordant Barrier for Spectrally Robust Semidefinite Programming

TorchKM: A GPU-Oriented Library for Kernel Learning and Model Selection

On solving symmetric multi-type orthogonal non-negative matrix tri-factorization problem

Rayforce

Adjacency Spectral Radius Under Laplacian Sparsification: Deterministic and Probabilistic Bounds

A New Level Set Formulation for Improved Dirichlet Eigenvalue Minimizers

An algebraic multiscale preconditioner for large sparse SPD matrices

Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings