1 code implementation • 12 May 2021 • Yuan Cheng, Yanbo Xue
Click-through rate (CTR) prediction is a critical problem in web search, recommendation systems and online advertisement displaying.
no code implementations • 1 Feb 2021 • Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh
Endeavors for designing robots with human-level cognitive abilities have led to different categories of learning machines.
no code implementations • 30 Jan 2021 • Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh
In Maurice Merleau-Ponty's phenomenology of perception, analysis of perception accounts for an element of intentionality, and in effect therefore, perception and action cannot be viewed as distinct procedures.
no code implementations • 30 Jan 2021 • Milad Vaali Esfahaani, Yanbo Xue, Peyman Setoodeh
This paper provides a comparative study between value-based and policy-based deep RL algorithms for designing recommender systems for online advertising.
no code implementations • 21 Dec 2020 • Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens
We find improvements ranging from 5% to 72% against attacks with Boltzmann machines on the MNIST dataset.
no code implementations • 8 Jul 2020 • Matthias Langer, Zhen He, Wenny Rahayu, Yanbo Xue
Distributed deep learning systems (DDLS) train deep neural network models by utilizing the distributed resources of a cluster.
no code implementations • 14 Nov 2016 • Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian, Fabian Chudak, William G. Macready, Jason Rolfe, Evgeny Andriyash
We argue that this relates to the fact that we are training a quantum rather than classical Boltzmann distribution in this case.