A Quadratic Speedup in Finding Nash Equilibria of Quantum Zero-Sum Games

no code implementations • 17 Nov 2023 • Francisca Vasconcelos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos, Georgios Piliouras, Michael I. Jordan

In 2008, Jain and Watrous proposed the first classical algorithm for computing equilibria in quantum zero-sum games using the Matrix Multiplicative Weight Updates (MMWU) method to achieve a convergence rate of $\mathcal{O}(d/\epsilon^2)$ iterations to $\epsilon$-Nash equilibria in the $4^d$-dimensional spectraplex.

UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural Representations for Computed Tomography

1 code implementation • 22 Feb 2022 • Francisca Vasconcelos, Bobby He, Nalini Singh, Yee Whye Teh

To that end, we study a Bayesian reformulation of INRs, UncertaINR, in the context of computed tomography, and evaluate several Bayesian deep learning implementations in terms of accuracy and calibration.

Computed Tomography (CT) Decision Making +2