Jiaxin Shi

multires-conv. Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

gp-infer-net. Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

spectral-stein-grad. Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)

solvegp. Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)

rodeo. Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)

mirror-stein-samplers. Sampling with Mirrored Stein Operators

BDA-Exercises. My answer and codes for some exercises in Bayesian Data Analysis (3rd Ed), in IPython Notebook format

double-cv. Double Control Variates for Gradient Estimation in Discrete Latent Variable Models

hmm. A Toy implementation of Hidden Markov Model (HMM)

zhusuan. A Library for Bayesian Deep Learning, Generative Models

kblearn. Build a Concept Learner from Large-Scale Knowledge Base

BM. A toy Boltzmann Machine

dip. MSR-Bing: ACM MM14 Grand Challenge

tensorflow. Computation using data flow graphs for scalable machine learning