Bijan Mazaheri

According to our database, Bijan Mazaheri authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2025

Meta-Dependence in Conditional Independence Testing.

Bijan Mazaheri, Jiaqi Zhang, Caroline Uhler

CoRR, April, 2025

Omitted Labels Induce Nontransitive Paradoxes in Causality.

Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

Synthetic Potential Outcomes and Causal Mixture Identifiability.

Bijan Mazaheri, Chandler Squires, Caroline Uhler

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Synthetic Potential Outcomes for Mixtures of Treatment Effects.

Bijan Mazaheri, Chandler Squires, Caroline Uhler

CoRR, 2024

Identification of mixtures of discrete product distributions in near-optimal sample and time complexity.

Spencer L. Gordon, Erik Jahn, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Causal Discovery under Latent Class Confounding.

Bijan Mazaheri, Spencer Gordon, Yuval Rabani, Leonard J. Schulman

CoRR, 2023

Distribution Re-weighting and Voting Paradoxes.

Bijan Mazaheri, Siddharth Jain, Matthew Cook, Jehoshua Bruck

CoRR, 2023

Causal information splitting: Engineering proxy features for robustness to distribution shifts.

Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Michaela Hardt

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Causal Inference Despite Limited Global Confounding via Mixture Models.

Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2021

Identifying Mixtures of Bayesian Network Distributions.

Spencer L. Gordon, Bijan Mazaheri, Yuval Rabani, Leonard J. Schulman

CoRR, 2021

Expert Graphs: Synthesizing New Expertise via Collaboration.

Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck

CoRR, 2021

Synthesizing New Expertise via Collaboration.

Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck

Proceedings of the IEEE International Symposium on Information Theory, 2021

Source Identification for Mixtures of Product Distributions.

Spencer Gordon, Bijan H. Mazaheri, Yuval Rabani, Leonard J. Schulman

Proceedings of the Conference on Learning Theory, 2021

2020

The Sparse Hausdorff Moment Problem, with Application to Topic Models.

Spencer Gordon, Bijan Mazaheri, Leonard J. Schulman, Yuval Rabani

CoRR, 2020

Robust Correction of Sampling Bias using Cumulative Distribution Functions.

Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020