1 Machine Learning and Microeconomics
نویسنده
چکیده
The focus of my research is on theoretical problems at the interface between machine learning and microeconomics. This interface is broad, spanning domains such as crowdsourcing and prediction markets, to finance and algorithmic game theory. I am particularly interested in applying machine learning theory to economic domains, such as using coordinate descent to understand market behavior, and conversely using economic models to develop more robust and realistic techniques for machine learning.
منابع مشابه
Machine learning algorithms in air quality modeling
Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...
متن کاملAn active-learning exercise on learning negotiation as a way to mitigate the gender wage gap for introductory microeconomics
Economic research provides several reasons to explain why the gender wage gap still persists. One reason is the negotiation gap, whereby women are less likely to use and benefit from negotiation compared to men. This paper describes an active-learning exercise in which students are empowered to learn and practice basic negotiation strategy in a distributive bargaining framework. Students active...
متن کاملComparative Analysis of Machine Learning Algorithms with Optimization Purposes
The field of optimization and machine learning are increasingly interplayed and optimization in different problems leads to the use of machine learning approaches. Machine learning algorithms work in reasonable computational time for specific classes of problems and have important role in extracting knowledge from large amount of data. In this paper, a methodology has been employed to opt...
متن کاملMachine Learning and Citizen Science: Opportunities and Challenges of Human-Computer Interaction
Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to...
متن کاملMachine learning based Visual Evoked Potential (VEP) Signals Recognition
Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...
متن کامل