Summary of Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing, by Wei Xu et al.
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passingby Wei Xu, An…
Summary of Smc Is All You Need: Parallel Strong Scaling, by Xinzhu Liang et al.
SMC Is All You Need: Parallel Strong Scalingby Xinzhu Liang, Joseph M. Lukens, Sanjaya Lohani,…
Summary of Enhancing Gaussian Process Surrogates For Optimization and Posterior Approximation Via Random Exploration, by Hwanwoo Kim and Daniel Sanz-alonso
Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Explorationby Hwanwoo Kim, Daniel…
Summary of Distributed Markov Chain Monte Carlo Sampling Based on the Alternating Direction Method Of Multipliers, by Alexandros E. Tzikas et al.
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliersby Alexandros…
Summary of Simulation-based Inference with Quantile Regression, by He Jia
Simulation-Based Inference with Quantile Regressionby He JiaFirst submitted to arxiv on: 4 Jan 2024CategoriesMain: Machine…
Summary of A Compact Representation For Bayesian Neural Networks by Removing Permutation Symmetry, By Tim Z. Xiao et al.
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetryby Tim Z. Xiao, Weiyang…