Reconstructing cancer drug response networks using multitask learning. - Matthew Ruffalo; Petar Stojanov; Venkata Krishna Pillutla; Rohan Varma; Ziv Bar-Joseph (BMC Syst. Biol., 2017)

Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. - Petar Stojanov; Mingming Gong; Jaime G. Carbonell; Kun Zhang 001 (AISTATS, 2019)

Data-Driven Approach to Multiple-Source Domain Adaptation. - Petar Stojanov; Mingming Gong; Jaime G. Carbonell; Kun Zhang 001 (AISTATS, 2019)

Domain Adaptation as a Problem of Inference on Graphical Models. - Kun Zhang 001; Mingming Gong; Petar Stojanov; Biwei Huang; Qingsong Liu; Clark Glymour (NeurIPS, 2020)

Domain Adaptation As a Problem of Inference on Graphical Models. - Kun Zhang 001; Mingming Gong; Petar Stojanov; Biwei Huang; Clark Glymour (CoRR, 2020)

Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? - Petar Stojanov; Zijian Li 001; Mingming Gong; Ruichu Cai; Jaime G. Carbonell; Kun Zhang 001 (NeurIPS, 2021)

Unpaired data empowers association tests. - Mingming Gong; Peng Liu; Frank C. Sciurba; Petar Stojanov; Dacheng Tao; George C. Tseng; Kun Zhang 001; Kayhan Batmanghelich (Bioinform., 2021)

Partial disentanglement for domain adaptation. - Lingjing Kong; Shaoan Xie; Weiran Yao; Yujia Zheng 001; Guangyi Chen 002; Petar Stojanov; Victor Akinwande; Kun Zhang 001 (ICML, 2022)

Towards More Efficient and Data-Driven Domain Adaptation. - Petar Stojanov (2022)

Partial Identifiability for Domain Adaptation. - Lingjing Kong; Shaoan Xie; Weiran Yao; Yujia Zheng 001; Guangyi Chen 002; Petar Stojanov; Victor Akinwande; Kun Zhang 001 (CoRR, 2023)

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. - Haoyue Dai; Ignavier Ng; Gongxu Luo; Peter Spirtes; Petar Stojanov; Kun Zhang 001 (ICLR, 2024)

Towards Understanding Extrapolation: a Causal Lens. - Lingjing Kong; Guangyi Chen 002; Petar Stojanov; Haoxuan Li 001; Eric P. Xing; Kun Zhang 001 (NeurIPS, 2024)

Causal Representation Learning from Multimodal Biological Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (CoRR, 2024)

Causal Representation Learning from Multimodal Biomedical Observations. - Yuewen Sun; Lingjing Kong; Guangyi Chen 002; Loka Li; Gongxu Luo; Zijian Li 001; Yixuan Zhang 001; Yujia Zheng 001; Mengyue Yang; Petar Stojanov; Eran Segal; Eric P. Xing; et al. (ICLR, 2025)

Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders. - Gongxu Luo; Haoyue Dai; Boyang Sun; Loka Li; Biwei Huang; Petar Stojanov; Kun Zhang 001 (CoRR, 2025)