bardsoftware / template-thes-pu
Princeton University Ph.D. Dissertation Template
☆14Updated 8 years ago
Alternatives and similar repositories for template-thes-pu:
Users that are interested in template-thes-pu are comparing it to the libraries listed below
- Bounding causal effects in general (continuous, non-additive) instrumental variable models.☆14Updated last year
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated 9 months ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- ☆33Updated 4 months ago
- Generate a customised list of publications for your LaTeX CV using BibTeX entries.☆98Updated 3 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Psych-GA.2207 Categories and Concepts☆16Updated last year
- PyTorch-based library for various kinds of representational-similarity analysis☆24Updated 10 months ago
- PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python☆73Updated 3 months ago
- Material for STATS271: Applied Bayesian Statistics (Spring 2021)☆26Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆26Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021☆11Updated 3 years ago
- ☆12Updated last year
- A simple library to run variational inference on Stan models.☆30Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Simulation-based inference benchmark☆96Updated 3 months ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 3 months ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆31Updated 3 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 10 months ago
- ☆37Updated 5 years ago
- Implementations of common graphical models, utilities for creating random graphs, and sampling from graphical models.☆11Updated last year
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago