Scalable Unbalanced Optimal Transport using Generative Adversarial Networks

Generative adversarial networks (GANs) are an expressive class of neural generative models with tremendous success in modeling high-dimensional continuous measures. In this paper, we present a scalable method for unbalanced optimal transport (OT) based on the generative-adversarial framework. We formulate unbalanced OT as a problem of simultaneously learning a transport map and a scaling factor that push a source measure to a target measure in a cost-optimal manner. In addition, we propose an algorithm for solving this problem based on stochastic alternating gradient updates, similar in practice to GANs. We also provide theoretical justification for this formulation, showing that it is closely related to an existing static formulation by Liero et al. (2018), and perform numerical experiments demonstrating how this methodology can be applied to population modeling

The Politics of Lonely

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A Program Evaluation Of The Reasons Some Educators Do or Do Not Remain In The Teaching Profession

Abstract According to Sutcher et al. (2016), hundreds of thousands of teachers (eight percent of the overall United States teaching force) leave the profession annually for various reasons. These reasons include dissatisfaction with some parts of their jobs, including poor leadership, lack of control over teaching, family or personal reasons, pursuing a job outside of education, retirement, and financial reasons. The purpose of this study is to understand why teachers choose to stay at their school, why they leave certain schools and what school and district leaders can do to keep teachers in their classrooms. The context of this inquiry is three Title I middle schools and two Title I high schools. My study demonstrated a combination of quantitative and qualitative data that matched current research, teacher surveys, and interviews with school and district leaders on what to do to keep teachers in Title I schools. School leaders are responsible for creating a culture at their respective schools. Teachers want to work in a school environment where they feel appreciated, respected, and have a voice in the doings of the school. The surveys conducted in this study have shown overwhelmingly how important culture is to teachers. School and district leaders acknowledged the value of building community in their schools. District leaders should place school leaders with experience in building collaborative cultures to improve morale and, more importantly, increase teacher retention in their schools

How do Immigration and Technological Growth Affect One Another? Providing Guiding Principles for Policymakers

The relationship between immigration and technological growth is more nuanced than a simple statement of positive or negative correlation. How one affects the other varies depending on the skill level of the immigrant and the field where they work. Conclusions drawn by the literature form patterns that can be used to best understand the relationship between immigration and technology. High-skilled immigration boosts technological development through a complementary relationship, but low-skilled immigration can be a complement or a substitute with technological growth depending on the sector. Policymakers interested in promoting long-term economic growth through technological growth should have a clear picture of how immigration and technology interact

Analog Versus Digital Guitar Pedals, Shaping Guitar Tones and Sparking Debates

This paper goes into the history of guitar effects, what exactly they are, how they have evolved, and what they are like today. It also presents the results of an experiment that compares perceptions of differences between analog and digital guitar pedals