Estimating Vote Choice with Approximate Poisson-Binomial Logistic Regression

Fishman, N. and Rosenman, R.

Advances in Neural Information Processing Systems 37, Workshop on Optimization for Machine Learning, 2024

The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning PDF

Fawkes, J.,* Fishman, N.,* Andrews, A., Lipton, Z.

Advances in Neural Information Processing Systems 37, 2024

Metropolis sampling for constrained diffusion models PDF

Fishman, N., Klarnar, L., Mathieu, E., Hutchinson, M., De Bortoli, V.

Advances in Neural Information Processing Systems 36, 2023

Human mobility networks reveal increased segregation in large cities PDF

Nilforoshan, H.,* Looi, W.,* Pierson, E.,* Villanueva, B., Fishman, N., Chen, Y., Sholar, J., Redbird, B., Grusky, D., Leskovec, J.

Nature 624 (7992), 586-592, 2023

Diffusion models for constrained domains PDF

Fishman, N., Klarner, L., De Bortoli, E., Mathieu, M., Hutchinson, M.

Transactions on Machine Learning Research, 2023

Change we can believe in: Structural and content dynamics within belief networks PDF

Fishman, N. and Davis, N. T.

American Journal of Political Science 66 (3), 648-663, 2022

Should attention be all we need? The epistemic and ethical implications of unification in machine learning PDF

Fishman, N., Hancox-Li, L.

Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022

Making (Global) Criminal Procedure: Empire, the End of Justice, and the Rise of Efficiency PDF

Fishman, N.

Honors Thesis Submitted to the Stanford University Department of Sociology, 2021

Systematic characterization of generative models for de novo design of regulatory DNA PDF

Fishman, N., Shrikumar, A., Marinov, G., Kundaje, A.

(Spotlight) International Conference on Machine Learning, Computational Biology Workshop, 2020

Partisan Disparities in the Funding of Science in the United States (In preparation for submission to Science)

Furnas, Z., Fishman, N., Hammond, B., Rosenstiel, L., Wang, D.

Monotone Interference

Fishman, N. and Imai, K.

The False Promise of Controlling False Positives: Ephemerality and the “Replication Crisis” in Observational Studies

Ben-Menachem, J.,* Fishman, N.,* Galper, G.*

Estimating Vote Choice with Approximate Poisson-Binomial Logistic Regression

Fishman, N. and Rosenman, R.

Principled Models for Analyzing Max-Diff Surveys

Fishman, N.

SimDNA: a library for simulating regulatory genomic sequences

Shrikumar, A.,* Fishman, N.*, Kundaje, A.