kirthevasank / if-estimators
Estimators for Information Theoretic Functionals using Influence Functions
☆11Updated 8 years ago
Alternatives and similar repositories for if-estimators:
Users that are interested in if-estimators are comparing it to the libraries listed below
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 5 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- Deep Neural Networks Entropy from Replicas☆32Updated 5 years ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆10Updated 6 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 5 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 5 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 5 months ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- ☆11Updated 8 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆37Updated 3 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Black Box Variational Inference☆14Updated 9 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Stochastic Optimization for Optimal Transport☆22Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated last year
- ☆59Updated 6 years ago
- ☆40Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆16Updated 3 years ago
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Updated 7 years ago