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20152023
most citedRecursive Partitioning for Heterogeneous Causal Effects

1.6k citations · 1.9k across the 35 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

stat.ME2021★ 9 cited

Semiparametric Estimation of Treatment Effects in Randomized Experiments

Susan Athey, Peter J. Bickel, Aiyou Chen +2

We develop new semiparametric methods for estimating treatment effects. We focus on settings where the outcome distributions may be thick tailed, where treatment effects may be sma…

cs.LG2021

Federated Causal Inference in Heterogeneous Observational Data

Ruoxuan Xiong, Allison Koenecke, Michael Powell +3

We are interested in estimating the effect of a treatment applied to individuals at multiple sites, where data is stored locally for each site. Due to privacy constraints, individu…

stat.ML2021

Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits

Ruohan Zhan, Vitor Hadad, David A. Hirshberg +1

It has become increasingly common for data to be collected adaptively, for example using contextual bandits. Historical data of this type can be used to evaluate other treatment as…

stat.ML2021

Policy Learning with Adaptively Collected Data

Ruohan Zhan, Zhimei Ren, Susan Athey +1

Learning optimal policies from historical data enables personalization in a wide variety of applications including healthcare, digital recommendations, and online education. The gr…

cs.LG2021★ 4 cited

Adapting to Misspecification in Contextual Bandits with Offline Regression Oracles

Sanath Kumar Krishnamurthy, Vitor Hadad, Susan Athey

Computationally efficient contextual bandits are often based on estimating a predictive model of rewards given contexts and arms using past data. However, when the reward model is…