♦ Causal inference
Life after bootstrap: Residual randomization inference in regression models
(early draft, pdf)
Randomization tests under endogeneous and staggered adoption of treatment
with Shaikh, A.
Randomization tests for peer effects in group formation experiments
with Basse, G.; Feller A.; Ding, P. (submitted, arxiv pdf)
On clustering similarity with application to causal inference with the propensity score
with Volfovsky, A.
Propensity score methodology in the presence of network entanglement between treatments
with Volfovsky, A.; Airoldi, EM. ( arxiv pdf)
Dynamical systems theory for causal inference with application
to synthetic controls
with Ding, Yi. (submitted, arxiv pdf)
♦ Statistical machine learning/stochastic gradients
Stable Robbins-Monro approximations through stochastic proximal updates
with Horel, T.; Airoldi, EM. (submitted, arxiv pdf, Winner of IBM 2018 award)
Statistical inference and testing at scale with stochastic gradient-based estimators
with Chee, J.
Estimation of large-scale dynamic discrete choice models
with Junhyung Kim, L.; Misra, S.
♦ Mechanism design/game theory
Screening with tournaments
with Parkes, DC. ( pdf)