activity
20232026
collaborators

8 papers

stat.OT2026

Reorganizing Graduate Statistical Inference for Modern Biostatistical Practice

Raphael C Kim, Michele Santacatterina

First-year graduate courses in statistical inference within PhD programs in biostatistics often follow a classical mathematical statistics progression through probability models, d…

stat.ME2026

Statistical Inference for Continuous Action Bandits

Raphael C Kim, Michele Santacatterina, Ramin Zabih +2

Statistical inference under adaptively collected data is becoming increasingly popular across e-commerce and mobile health. Many methods exist for discrete action settings, ranging…

stat.ML2026

Are Good Generators Good Decision-Makers? Policy Learning for General Interventions via Retargeted Counterfactual Generation

Raphael C Kim, Jingsen Zhu, Ramin Zabih +1

Generative models are increasingly used to support decision-making in complex systems, where interventions may be joint and high-dimensional, and outcomes are high-dimensional. How…

stat.ME2026

Data-Adaptive and Model-Robust Covariate Adjustment for Time-to-Event Outcomes in Stratified Randomized Trials

Raphael C. Kim, Brian Gilbert, Ramin Zabih +2

Time-to-event outcomes are commonly used as primary endpoints in randomized clinical trials. Despite this, relatively little work incorporates baseline covariate information while…

stat.ME2026

Fair Policy Learning under Bipartite Network Interference: Learning Fair and Cost-Effective Environmental Policies

Raphael C. Kim, Rachel C. Nethery, Kevin L. Chen +1

Numerous studies have shown the harmful effects of airborne pollutants on human health. Vulnerable groups and communities often bear a disproportionately larger health burden due t…

cs.LG2024

Towards Optimal Environmental Policies: Policy Learning under Arbitrary Bipartite Network Interference

Raphael C. Kim, Falco J. Bargagli-Stoffi, Kevin L. Chen +1

The substantial effect of air pollution on cardiovascular disease and mortality burdens is well-established. Emissions-reducing interventions on coal-fired power plants -- a major…

stat.ME2024

Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health

Kevin L. Chen, Falco J. Bargagli-Stoffi, Raphael C. Kim +2

Pollution from coal-fired power plants has been linked to substantial health and mortality burdens in the US. In recent decades, federal regulatory policies have spurred efforts to…

stat.ME2023

Environmental Justice Implications of Power Plant Emissions Control Policies: Heterogeneous Causal Effect Estimation under Bipartite Network Interference

Kevin L. Chen, Falco J. Bargagli Stoffi, Raphael C. Kim +1

Emissions generators, such as coal-fired power plants, are key contributors to air pollution and thus environmental policies to reduce their emissions have been proposed. Furthermo…