Bijan Mazaheri

21 papers A* 2A 2B 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data Augmentation via Causal-Residual Bootstrapping. CoRR Mateusz Gajewski, Sophia Xiao, Bijan Mazaheri
2026	J	`jnl`	Estimating Aleatoric Uncertainty in the Causal Treatment Effect. CoRR Liyuan Xu, Bijan Mazaheri
2026	J	`jnl`	Masked Unfairness: Hiding Causality within Zero ATE. CoRR Zou Yang, Sophia Xiao, Bijan Mazaheri
2025	J	`jnl`	Meta-Dependence in Conditional Independence Testing. CoRR Bijan Mazaheri, Jiaqi Zhang, Caroline Uhler
2025	—	`conf`	Omitted Labels Induce Nontransitive Paradoxes in Causality. CLeaR Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck
2025	A	`conf`	Synthetic Potential Outcomes and Causal Mixture Identifiability. AISTATS Bijan Mazaheri, Chandler Squires, Caroline Uhler
2024	A*	`conf`	Identification of mixtures of discrete product distributions in near-optimal sample and time complexity. COLT Spencer L. Gordon, Erik Jahn, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman
2024	J	`jnl`	Synthetic Potential Outcomes for Mixtures of Treatment Effects. CoRR Bijan Mazaheri, Chandler Squires, Caroline Uhler
2023	J	`jnl`	Causal Discovery under Latent Class Confounding. CoRR Bijan Mazaheri, Spencer Gordon, Yuval Rabani, Leonard J. Schulman
2023	—	`conf`	Causal Inference Despite Limited Global Confounding via Mixture Models. CLeaR Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman
2023	J	`jnl`	Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts. CoRR Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Mila Hardt
2023	A	`conf`	Causal information splitting: Engineering proxy features for robustness to distribution shifts. UAI Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Michaela Hardt
2023	J	`jnl`	Distribution Re-weighting and Voting Paradoxes. CoRR Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck
2023	J	`jnl`	Identification of Mixtures of Discrete Product Distributions in Near-Optimal Sample and Time Complexity. CoRR Spencer L. Gordon, Erik Jahn, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman
2021	J	`jnl`	Expert Graphs: Synthesizing New Expertise via Collaboration. CoRR Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck
2021	J	`jnl`	Identifying Mixtures of Bayesian Network Distributions. CoRR Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman
2021	B	`conf`	Synthesizing New Expertise via Collaboration. ISIT Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck
2020	J	`jnl`	Robust Correction of Sampling Bias Using Cumulative Distribution Functions. CoRR Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck
2020	A*	`conf`	Robust Correction of Sampling Bias using Cumulative Distribution Functions. NeurIPS Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck
2020	J	`jnl`	Source Identification for Mixtures of Product Distributions. CoRR Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman
2020	J	`jnl`	The Sparse Hausdorff Moment Problem, with Application to Topic Models. CoRR Spencer Gordon, Bijan Mazaheri, Leonard J. Schulman, Yuval Rabani