boazbk / mltheoryseminarLinks
☆19Updated 2 years ago
Alternatives and similar repositories for mltheoryseminar
Users that are interested in mltheoryseminar are comparing it to the libraries listed below
Sorting:
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 6 years ago
- ☆100Updated 2 weeks ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- ☆21Updated 3 years ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆261Updated 3 months ago
- Probabilistic Solution of Differential Equations☆13Updated 3 years ago
- Code source of Learning Binary Trees by Argmin Differentiation.☆12Updated 2 years ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆24Updated 4 months ago
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- TARDIS: Topological Algorithms for Robust DIscovery of Singularities☆42Updated last year
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆50Updated 5 years ago
- ☆32Updated 3 years ago
- An introduction to functional programming for scalable statistical computing☆75Updated 11 months ago
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- Official Github for Wharton STAT 4830☆39Updated 2 weeks ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Learning Tree structures and Tree metrics☆23Updated 10 months ago
- Official repository for CMU Machine Learning Department's 10721: "Philosophical Foundations of Machine Intelligence".☆262Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Hyperbolic PCA via Horospherical Projections☆71Updated 2 years ago
- Integrals of Gaussians under linear domain constraints☆13Updated 5 years ago
- In which I learn about score functions and how they can be used to generate data.☆16Updated last year
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆21Updated 11 months ago
- ☆55Updated 2 months ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- Scalable Bayes via Barycenter in Wasserstein Space☆9Updated 7 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 3 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago