Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders. - Parjanya Prajakta Prashant; Seyedeh Baharan Khatami; Bruno Ribeiro 001; Babak Salimi (AISTATS, 2025)

Differentiable Causal Discovery for Latent Hierarchical Causal Models. - Parjanya Prajakta Prashant; Ignavier Ng; Kun Zhang 001; Biwei Huang (ICLR, 2025)

Causal-Copilot: An Autonomous Causal Analysis Agent. - Xinyue Wang; Kun Zhou; Wenyi Wu; Har Simrat Singh; Fang Nan; Songyao Jin; Aryan Philip; Saloni Patnaik; Hou Zhu; Shivam Singh; Parjanya Prajakta Prashant; Qian Shen; et al. (CoRR, 2025)

KAIROS: Scalable Model-Agnostic Data Valuation. - Jiongli Zhu; Parjanya Prajakta Prashant; Alex Cloninger; Babak Salimi (CoRR, 2025)