Petar Stojanov

17 papers A* 6A 2Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Causal Representation Learning from Multimodal Biomedical Observations. ICLR Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2025	J	`jnl`	Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders. CoRR Gongxu Luo, Haoyue Dai, Boyang Sun, Loka Li, Biwei Huang, Petar Stojanov, Kun Zhang
2025	J	`jnl`	Towards Understanding Extrapolation: a Causal Lens. CoRR Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
2024	J	`jnl`	Causal Representation Learning from Multimodal Biological Observations. CoRR Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2024	A*	`conf`	Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. ICLR Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang
2024	J	`jnl`	Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. CoRR Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang
2024	A*	`conf`	Towards Understanding Extrapolation: a Causal Lens. NeurIPS Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
2023	J	`jnl`	Partial Identifiability for Domain Adaptation. CoRR Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2022	A*	`conf`	Partial disentanglement for domain adaptation. ICML Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang
2022	—	`—`	Towards More Efficient and Data-Driven Domain Adaptation. Petar Stojanov
2021	A*	`conf`	Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang
2021	J	`jnl`	Unpaired data empowers association tests. Bioinform. Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan Batmanghelich
2020	J	`jnl`	Domain Adaptation As a Problem of Inference on Graphical Models. CoRR Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Clark Glymour
2020	A*	`conf`	Domain Adaptation as a Problem of Inference on Graphical Models. NeurIPS Kun Zhang, Mingming Gong, Petar Stojanov, Biwei Huang, Qingsong Liu, Clark Glymour
2019	A	`conf`	Data-Driven Approach to Multiple-Source Domain Adaptation. AISTATS Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang
2019	A	`conf`	Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. AISTATS Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang
2017	J	`jnl`	Reconstructing cancer drug response networks using multitask learning. BMC Syst. Biol. Matthew Ruffalo, Petar Stojanov, Venkata Krishna Pillutla, Rohan Varma, Ziv Bar-Joseph