StephanLorenzen / MajorityVoteBoundsLinks
A framework for majority vote classifiers allowing for computation of PAC Bayesian risk bounds.
☆14Updated 2 years ago
Alternatives and similar repositories for MajorityVoteBounds
Users that are interested in MajorityVoteBounds are comparing it to the libraries listed below
Sorting:
- ☆15Updated 3 years ago
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆24Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Updated 2 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- csl: PyTorch-based Constrained Learning☆12Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights☆28Updated 5 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆12Updated 2 years ago
- ☆54Updated last year
- Implementation of Nonparametric Hamiltonian Monte Carlo☆13Updated 2 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆10Updated 3 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- ☆171Updated last year
- Influence Estimation for Gradient-Boosted Decision Trees☆29Updated last year
- Investigate the speed of adaptation of structural causal models☆15Updated 4 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Accompanying code for our NeurIPS 2019 paper☆12Updated 6 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 5 months ago
- ☆20Updated 5 years ago
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆61Updated 3 years ago
- ☆43Updated 7 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 3 years ago