no code implementations • 17 Nov 2022 • Stephen Mussmann, Julia Reisler, Daniel Tsai, Ehsan Mousavi, Shayne O'Brien, Moises Goldszmidt
In this paper we reformulate EER under the lens of Bayesian active learning and derive a computationally efficient version that can use any Bayesian parameter sampling method (such as arXiv:1506. 02142).
no code implementations • 7 Oct 2020 • Daniel Tsai
Natural numbers satisfying an unusual property are mentioned by the author in [5], in which their infinitude is also proved.
Number Theory 11A25, 11A51
no code implementations • 14 Jan 2018 • Colin de Vrieze, Shane Barratt, Daniel Tsai, Anant Sahai
Traditional radio systems are strictly co-designed on the lower levels of the OSI stack for compatibility and efficiency.
Multi-agent Reinforcement Learning reinforcement-learning +1