mingzhang-yin Goto Github PK
Name: Mingzhang Yin
Type: User
Company: University of Florida
Bio: Assistant professor, Warrington college of business, University of Florida; Ph.D. Statistics.
Twitter: Mingzhangyin
Name: Mingzhang Yin
Type: User
Company: University of Florida
Bio: Assistant professor, Warrington college of business, University of Florida; Ph.D. Statistics.
Twitter: Mingzhangyin
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019
Comparisons between best subset selection and other popular estimators for sparse regression
Bootstrapping sensitivity analysis
Curated research at the intersection of causal inference and natural language processing.
Causal Inference in Python
Causality for Machine Learning
Uplift modeling and causal inference with machine learning algorithms
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.
Analyzing the sensitivity of an individual treatment effect over a potential violation of unconfoundedness.
Proof of local convergence region and convergence rate of gradient EM on general GMM, for both population and finite sample setting. (NeurIPS 2017)
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Google AI Research
Repository for Introduction to Bayesian Estimation of Causal Effects
PyTorch code to run synthetic experiments.
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
A collection of those pesky SDK folders: MacOSX10.1.5.sdk thru MacOSX11.3.sdk
course web
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)
Personal webpage
A probabilistic solution to the exact best subset selection problem via continuous reformulation and gradient-based optimization.
Probabilistic Conformal Prediction
A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions
Code for Shopper, a probabilistic model of shopping baskets
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).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.