Publications

Bijan Mazaheri, Atalanti Mastakouri, Dominik Janzing, Mila Hardt (2023). Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts. In UAI 2023.

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Spencer Gordon, Bijan Mazaheri, Yuval Rabani, Leonard Schulman (2023). Causal Inference Despite Limited Global Confounding via Mixture Models. In CLeaR 2023.

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Bijan Mazaheri, Siddharth Jain, Matt Cook, Jehoshua Bruck (2022). Combining Binary Classifiers Leads to Nontransitive Paradoxes.

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Siddharth Jain, Bijan Mazaheri, Netanel Raviv, Jehoshua Bruck (2021). Glioblastoma signature in the DNA of blood-derived cells. PLOS ONE 16(9).

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Spencer Gordon, Bijan Mazaheri, Yuval Rabani, Leonard Schulman (2021). Source Identification for Mixtures of Product Distributions. In COLT 2021.

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Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck (2021). Synthesizing New Expertise via Collaboration. In ISIT 2021.

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Bijan Mazaheri, Siddharth Jain, Jehoshua Bruck (2020). Robust Correction of Sampling Bias using Cumulative Distribution Functions. In NeurIPS 2020.

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Siddharth Jain, Bijan Mazaheri, Netanel Raviv, Jehoshua Bruck (2020). Cancer Classification from Healthy DNA.

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Siddharth Jain, Bijan Mazaheri, Netanel Raviv, Jehoshua Bruck (2019). Mutation profile and related labeled genomic components, methods and systems.

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Spencer Gordon, Bijan Mazaheri, Yuval Rabani, Leonard Schulman (2019). The Sparse Hausdorff Moment Problem, with Application to Topic Models.

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Siddharth Jain, Bijan Mazaheri, Netanel Raviv, Jehoshua Bruck (2019). Short Tandem Repeats Information in TCGA is Statistically Biased by Amplification.

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