# Doubly Robust Adaptive Conformal Inference for Causal Effects Under Temporal Dependence

arXiv: https://arxiv.org/abs/2606.30500 · HTML: https://mlsanity.com/paper/2606.30500/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 26 references that are in the map.
- First posted on arXiv 29 Jun 2026.

## Builds on (most cited first, 8 of 8)

- [Distribution-Free Predictive Inference For Regression](https://mlsanity.com/paper/1604.04173/) (2016)
- [Estimation and Inference of Heterogeneous Treatment Effects using Random Forests](https://mlsanity.com/paper/1510.04342/) (2015)
- [Adaptive Conformal Inference Under Distribution Shift](https://mlsanity.com/paper/2106.00170/) (2021)
- [Conformal Inference of Counterfactuals and Individual Treatment Effects](https://mlsanity.com/paper/2006.06138/) (2020)
- [Kernel-based Optimally Weighted Conformal Time-Series Prediction](https://mlsanity.com/paper/2405.16828/) (2024)
- [Predictive inference for time series: why is split conformal effective despite temporal dependence?](https://mlsanity.com/paper/2510.02471/) (2025)
- [Doubly Robust Conformalized Survival Analysis with Right-Censored Data](https://mlsanity.com/paper/2412.09729/) (2024)
- [Doubly Robust and Efficient Calibration of Prediction Sets for Right-Censored Time-to-Event Outcomes](https://mlsanity.com/paper/2501.04615/) (2025)

## Abstract (arXiv)

We propose doubly robust adaptive conformal inference (DR-ACI), which constructs prediction intervals for doubly robust pseudo-outcomes under temporal dependence.