- Expository article on double/debiased/automatic machine learning (AIPW with `automatic’ estimation of the Riesz representer) by not one but two Neweys
- Bruns-Smith et al provide an interesting general characterisation of this approach
- Generalised Method of Moments / Generalised Empirical Likelihood in RKHS
- Adaptive Linear Estimating Equations (GMM as taught on the other side of campus) for online regressions characterised by a linear moment condition
balancepython package for flexible IPW / covariate balancing propensity score methods made by folks at Meta- Best arm identification through approximate dynamic programming
- Nonparametric regression for extrapolation through additive noise
- Clean exposition of nonparametric regression using sieves + R package
- Neyman orthogonality for the partially linear regression (Bayesian version)
- CdH in progress book on difference in differences