3 papers
stat.CO2026
Efficient and Stable Multi-Dimensional Kolmogorov-Smirnov Distance
Peter Matthew Jacobs, Foad Namjoo, Jeff M. Phillips
We revisit extending the Kolmogorov-Smirnov distance between probability distributions to the multi-dimensional setting, and make new arguments about the proper way to approach thi…
stat.ME2026
Robust Simulation Based Inference Through Robust Optimal Transport
Peter Matthew Jacobs, Lekha Patel, Anirban Bhattacharya +1
When a statistical model lacks analytically tractable likelihoods, parametric statistical inference based on data generated from an unknown underlying distrib…
stat.ML2026
Optimizing Computational-Statistical Runtime for Wasserstein Distance Estimation
Peter Matthew Jacobs, Jeff M. Phillips
Squared Wasserstein distance is a frequently used tool to measure discrepancy between probability distributions. This distance is typically computed between empirical measures of s…