msalibian / STAT547O
Short reading course on Robust Statistics
☆11Updated 5 years ago
Alternatives and similar repositories for STAT547O:
Users that are interested in STAT547O are comparing it to the libraries listed below
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆65Updated 9 months ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- Approximate knockoffs and model-free variable selection.☆52Updated 3 years ago
- ☆22Updated last year
- A library for bayesian variable selection☆28Updated last week
- A versatile interface to the knockoff methodology.☆24Updated 2 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆16Updated last year
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆92Updated 3 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆29Updated 3 years ago
- ☆12Updated 10 months ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆47Updated 11 months ago
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 6 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆48Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 3 years ago
- Learning the optimal transport map via input convex neural neworks☆40Updated 4 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆52Updated 4 years ago
- ☆30Updated 2 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆55Updated last year
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆24Updated last week
- A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)☆38Updated 2 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- ☆28Updated 3 years ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆17Updated 10 months ago
- My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.☆32Updated 2 years ago
- My notes from class☆62Updated 6 years ago
- Fair Empirical Risk Minimization (FERM)☆37Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year