Together, these companies are building a system that lets enterprises run open-source models in single-tenant environments ...

Inverse problems arise when one seeks to recover unknown parameters or functions from indirect, noisy observations via a forward model. The Bayesian framework casts this recovery as the updating of a ...

Paper: "Robust Nonparametric Bias-Corrected Inference in the Regression Discontinuity Design", (joint work with Sebastian Calonico and Rocio Titiunik).

Tensormesh Inc. has hit upon a way to make artificial intelligence inference more efficient by eliminating the need for ...