We study first-order optimization algorithms for computing the barycenter of Gaussian distributions with respect to the optimal transport metric.

OFUGLB outperforms or is at par with prior algorithms for logistic bandits.

Antibodies are crucial proteins produced by the immune system to eliminate harmful foreign substances and have become pivotal therapeutic agents for treating human diseases.

Generative protein language models are a natural way to design new proteins with desired functions.

However, while popular, the system's suitability for assessing entities with constant skill levels, such as LLMs, remains relatively unexplored. We study two fundamental axioms that evaluation methods should adhere to: reliability and transitivity .

We consider the problem of variational Bayesian inference in a latent variable model where a (possibly complex) observed stochastic process is governed by the solution of a latent stochastic differential equation (SDE).