Social physics
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …
phenomena. This development has been due to physicists venturing outside of their …
Current status, challenges, and possible solutions of EEG-based brain-computer interface: a comprehensive review
Brain-Computer Interface (BCI), in essence, aims at controlling different assistive devices
through the utilization of brain waves. It is worth noting that the application of BCI is not …
through the utilization of brain waves. It is worth noting that the application of BCI is not …
Recent advances in reinforcement learning in finance
The rapid changes in the finance industry due to the increasing amount of data have
revolutionized the techniques on data processing and data analysis and brought new …
revolutionized the techniques on data processing and data analysis and brought new …
Exploring deep neural networks via layer-peeled model: Minority collapse in imbalanced training
In this paper, we introduce the Layer-Peeled Model, a nonconvex, yet analytically tractable,
optimization program, in a quest to better understand deep neural networks that are trained …
optimization program, in a quest to better understand deep neural networks that are trained …
Neural policy gradient methods: Global optimality and rates of convergence
Policy gradient methods with actor-critic schemes demonstrate tremendous empirical
successes, especially when the actors and critics are parameterized by neural networks …
successes, especially when the actors and critics are parameterized by neural networks …