I have been very lucky to work with a lot of amazing students. Here are some resulting publications:
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• Takatsu K, Levis AW, Kennedy EH, Kelz R, Keele L. Doubly robust machine learning for an instrumental variable study of surgical care for cholecystitis. arxiv.org/abs/2307.06269
  
  
• Bonvini M, Kennedy EH, Keele L. Minimax optimal subgroup identification. arxiv.org/abs/2306.17464
  
  
• Martinez-Taboada D, Ramdas A, Kennedy EH. An efficient doubly robust test for the kernel treatment effect. 
  arxiv.org/abs/2304.13237
  
  
• Zeng Z, Kennedy EH, Bodnar LM, Naimi AI. Efficient generalization and transportation. arxiv.org/abs/2302.00092
       - won ENAR Distinguished Student Paper Award in 2022
  
  
• Levis AW, Bonvini M, Zeng Z, Keele L, Kennedy EH. Covariate-assisted bounds on causal effects with instrumental variables. 
  arxiv.org/abs/2301.12106
  
  
• Kim K, Kennedy EH, JR Zubizarreta. Doubly robust counterfactual classification. arxiv.org/abs/2301.06199 
  
  
• Rambachan A, Coston A, Kennedy EH. Counterfactual risk assessments under unmeasured confounding. 
  arxiv.org/abs/2212.09844
  
  
• McClean A, Branson Z, Kennedy EH. Nonparametric estimation of conditional incremental effects. 
  arxiv.org/abs/2212.03578 
  
  
• Rubinstein M, Branson Z, Kennedy EH. Heterogeneous interventional indirect effects with multiple mediators: non-parametric and semi-parametric approaches. arxiv.org/abs/2210.08272
  
  
• Bonvini M, Kennedy EH, Ventura V, Wasserman LA. Sensitivity analysis for marginal structural models. 
  arxiv.org/abs/2210.04681
  
  
• Bonvini M, Kennedy EH. Fast convergence rates for dose-response estimation. arxiv.org/abs/2207.11825
  
  
• Coston A, Kennedy EH. The role of the geometric mean in case-control studies. arxiv.org/abs/2207.09016
  
  
• Das M, Kennedy EH. drpop: Efficient and doubly robust population size estimation in R. arxiv.org/abs/2111.07191
  
  
• Bonvini M, McClean A, Branson Z, Kennedy EH. Incremental causal effects: an introduction & review. Handbook of Matching and Weighting in Causal Inference. arxiv.org/abs/2110.10532
  
  
• Mishler A, Kennedy EH. FADE: FAir Double Ensemble learning for observable and counterfactual outcomes. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022). ​arxiv.org/abs/2109.00173​
  
  
• Das M, Kennedy EH. Doubly robust capture-recapture methods for estimating population size. Journal of the American Statistical Association. arxiv.org/abs/2104.14091
  
  
• Waudby-Smith I, Arbour D, Sinha R, Kennedy EH, Ramdas A. Time-uniform central limit theory with applications to anytime-valid causal inference. arxiv.org/abs/2103.06476
  
  
• Bonvini M, Kennedy EH, Ventura V, Wasserman L. Causal inference for the effect of mobility on COVID-19 deaths. Annals of Applied Statistics. arxiv.org/abs/2103.04472
  
  
• Liu L, Kennedy EH. Median optimal treatment regimes. arxiv.org/abs/2103.01802
  
  
• Mishler A, Kennedy EH. Fairness in risk assessment instruments: post-processing to achieve counterfactual equalized odds. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021). arxiv.org/abs/2009.02841
  
  
• Coston A, Kennedy EH, Chouldechova A. Counterfactual predictions under runtime confounding. Proceedings of the Conference on Neural Information Processing Systems (NeurIPS 2020).  arxiv.org/abs/2006.16916
  
  
• Kim K, Kennedy EH, Wasserman LA. Causal clustering.
  ​     - won WNAR Most Outstanding Student Paper Award in 2020
  
  
• Bonvini M, Kennedy EH. Sensitivity analysis via the proportion of unmeasured confounding. ​Journal of the American Statistical Association. arxiv.org/abs/1912.02793
       - won JSM Student Paper Award (Statistics in Epidemiology Section) in 2020
  
  
• Coston A, Mishler A, Kennedy EH, Chouldechova A. Counterfactual risk assessments, evaluation, and fairness. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT* 2020). arxiv.org/abs/1909.00066
  
  
• Kim K, Kennedy EH, Naimi AI. Incremental intervention effects in studies with many timepoints, repeated outcomes, and dropout. Journal of Causal Inference. arxiv.org/abs/1907.04004 
       - won JSM Student Paper Award (Nonparametric Statistics Section) in 2020
  
  
• Mauro JA, Kennedy EH, Nagin D. Instrumental variable methods using dynamic interventions. Journal of the Royal Statistical Society: Series A. arxiv.org/abs/1811.01301  
       - won JSM Student Paper Award (Government, Survey Research, and Social Statistics Section) in 2018
  
  
• Cuellar M, Kennedy EH. A nonparametric projection-based estimator for the probability of causation, with application to water sanitation in Kenya. Journal of the Royal Statistical Society: Series A. arxiv.org/abs/1810.00767   
       - won JSM Student Paper Award (Breslow Prize, Statistics in Epidemiology Section) in 2018​
  
  
• Kim K, Kim J, Kennedy EH. Causal effects based on distributional distances. arxiv.org/abs/1806.02935