@article{sparsity2024,
  title = {Debiased Causal Mediation Analysis in Ultra-High-Dimensional Settings in the Presence of Interaction Effects},
  author = {Bo, Shi and Ghassami, AmirEmad and Mukherjee, Debarghya},
  journal = {arXiv preprint arXiv:2412.08827},
  year = {2024},
  url = {https://arxiv.org/abs/2412.08827}
}

@article{farma2026,
  title = {Causal Mediation Analysis with High-Dimensional Surrogates: Identification, Estimation and Inference under Latent Factor Models},
  author = {Yadav, Himani and Bo, Shi and Ghassami, AmirEmad and Mukherjee, Debarghya},
  journal = {arXiv preprint arXiv:2611.03167},
  year = {2026},
  url = {https://arxiv.org/abs/2611.03167}
}

@article{mediencoder2026,
  title = {{MediEncoder}: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis},
  author = {Bo, Shi and Mukherjee, Debarghya and Ghassami, AmirEmad},
  journal = {arXiv preprint arXiv:2606.30648},
  year = {2026},
  url = {https://arxiv.org/abs/2606.30648}
}