PyTorch Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview) Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview) 16 February 2022
Algorithms Sentiment analysis with Naive Bayes, KNN, Logistic regression, LSTM, SVM algorithms on Tripadvisor user reviews data Sentiment analysis with Naive Bayes, KNN, Logistic regression, LSTM, SVM algorithms on Tripadvisor user reviews data 28 January 2022
Network Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions 25 January 2022
Deep Learning Laplace Redux -- Effortless Bayesian Deep Learning Laplace Redux -- Effortless Bayesian Deep Learning 18 January 2022
Scripts Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes 21 December 2021
Machine Learning Final term project for Bayesian Machine Learning Lecture (XAI-623) Final term project for Bayesian Machine Learning Lecture (XAI-623) 12 December 2021
Distributed Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model Amodal Segmentation through Out-of-Task andOut-of-Distribution Generalization with a Bayesian Model 01 December 2021
Bayesian An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence 19 October 2021
Optimization Bayesian optimization based on Gaussian processes Bayesian optimization based on Gaussian processes 18 October 2021
Bayesian Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations 16 October 2021
Algorithms BASTA: The BAyesian STellar Algorithm BASTA: The BAyesian STellar Algorithm 04 October 2021
Deep Learning A Simple Baseline for Bayesian Uncertainty in Deep Learning A Simple Baseline for Bayesian Uncertainty in Deep Learning 24 September 2021
Bayesian A python module that implements Bayesian statistical models and fitting algorithms A python module that implements Bayesian statistical models and fitting algorithms 20 September 2021
Optimization A Python implementation of global optimization with gaussian processes A Python implementation of global optimization with gaussian processes 15 September 2021
PyTorch An implementation framework to make your deterministic network Bayesian in PyTorch In addition, we provide an implementation framework to make your deterministicnetwork Bayesian in PyTorch. 05 September 2021
Machine Learning Python package for Bayesian Machine Learning with scikit-learn API Python package for Bayesian Machine Learning with scikit-learn API 03 September 2021