1 citations · 1 across the 4 of their papers we have counts for
4 papers
Simulation-based Inference via Langevin Dynamics with Score Matching
Haoyu Jiang, Yuexi Wang, Yun Yang
Simulation-based inference (SBI) enables Bayesian analysis when the likelihood is intractable but model simulations are available. Recent advances in statistics and machine learnin…
An Optimal Transport-Based Generative Model for Bayesian Posterior Sampling
Ke Li, Wei Han, Yuexi Wang +1
We investigate the problem of sampling from posterior distributions with intractable normalizing constants in Bayesian inference. Our solution is a new generative modeling approach…
Generative Bayesian Inference with GANs
Yuexi Wang, Veronika Ročková
In the absence of explicit or tractable likelihoods, Bayesians often resort to approximate Bayesian computation (ABC) for inference. Our work bridges ABC with deep neural implicit…
Sparse Regularization in Marketing and Economics
Guanhao Feng, Nicholas Polson, Yuexi Wang +1
Sparse alpha-norm regularization has many data-rich applications in Marketing and Economics. Alpha-norm, in contrast to lasso and ridge regularization, jumps to a sparse solution.…