Pinned Repositories
ARM-gradient
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
causal-rep-learning-reading-group
CoCo
An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages the invariance of causality over multiple environments.
Conformal-sensitivity-analysis
Analyzing the sensitivity of an individual treatment effect over a potential violation of unconfoundedness.
Convergence-of-Gradient-EM-on-Multi-component-Mixture-of-Gaussians
Proof of local convergence region and convergence rate of gradient EM on general GMM, for both population and finite sample setting. (NeurIPS 2017)
deconfounder_tutorial
Meta-learning-without-memorization
A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)
mingzhang-yin.github.io
Personal webpage
Probabilistic-Best-Subset
A probabilistic solution to the exact best subset selection problem via continuous reformulation and gradient-based optimization.
SIVI
A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural networks and hierarchical distribution (ICML 2018).
mingzhang-yin's Repositories
mingzhang-yin/Convergence-of-Gradient-EM-on-Multi-component-Mixture-of-Gaussians
Proof of local convergence region and convergence rate of gradient EM on general GMM, for both population and finite sample setting. (NeurIPS 2017)