- Online Stratified Experiments
- Causal Inference with a Continuous Treatment and Outcome
- Counterfactual Density Estimation via Minimum Kernel Discrepancy
- led me to Minimum Kernel Discrepancy Estimators
- Federated causal inference for multi-site experiments
- Covariate Balancing for Survival Causal Effects
- Review of Distributionally robust and generalizable causal inference
- DoubleML for continuous treatments using an AIPW-like construction
- Average Partial Effects for binary outcomes: when do OLS and ‘proper’ likelihood-based methods diverge?
- Local-Projection versus VARs: bias variance tradeoffs in macroeconometrics - bit like IV vs OLS
- Double-ML for Design of batch-adaptive experiments
- Multiple-testing issues in joint tests for covariate balance in Regression Discontinuity Designs
- Performant software for Generalized Propensity Score-based estimation for continuous treatments
- Conformal Inference for under distributional shift
- Anytime-valid t-tests for gaussian means with unknown variance
- Sparse Deep Learning for Time Series Data