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K-Robust Nearest Neighbor Search and Classification
The nearest neighbor problem is one of the most important problems in computational geometry. Many of the solutions to this problem suffer from the "curse of dimensionality" that makes the runtime increase exponentially with the dimensionality of the point set. We explore the relaxing of the problem to the approximate nearest neighbor problem and briefly discuss its solutions before moving on to the approximate near neighbor problem. We take a detailed look at the locality sensitive hashing data structure that solves the approximate near neighbor problem. Finally, we look at a new problem: the k-robust nearest neighbor problem. We present and analyze one algorithm that solves this problem before continuing on to experiments to examine if there is any noticeable improvement in the balanced classification rate or accuracy for the k-robust nearest neighbor problem
Indirect Discrimination in the Age of Big Data
Rapid advancements in the use of big data to make automated decisions may result in indirect discrimination. For example, Larson et al. (2015) find that the Princeton Review charges different prices by zip code resulting in disproportionately high prices in predominantly Asian zip codes. In an economic sense, this "indirect discrimination" has no inherent unfairness as we expect the firm to maximize pro fits by exploiting consumers' willingness to pay, even if the outcome disproportionately affects certain groups. However, Larson et al. and the press coverage of their findings suggest that Princeton Review prices exhibit an unfair level of indirect discrimination. My regression analysis finds that the level of indirect discrimination on the Asian population in the Princeton Review Prices is not significantly different than that of retail gasoline prices, even though gasoline price variation is not typically perceived as unfair. I use behavioral economic theory to explain this result. In the second part of this thesis, I further develop and apply a technique that serves to both remove indirect discrimination and identify the most important features in machine learning models of automated decisions. I use the technique to further explore the differences between Princeton Review prices and retail gasoline prices. I also contribute an analysis of the technique on recidivism data, in which all the features are categorical, and on sexual offender data, in which surname and address are used to predict race to simulate the problem of hidden data
Truth and Techno-Identity: Digital Auto/Biographies
This course aims to help students develop as academic writers and critical thinkers. To meet this goal, we will engage in a range of activities designed to improve critical reasoning, rhetorical aptitude, and analytical-reading skills across a variety of media. The theme of the course centers on questions of “truth” as they relate to identity formation and presentation in online environments. This topic is designed to lead us from a familiar rhetorical mode—composition in social-media environments—to a less-familiar one: scholarly discourse. Along the way, we will contextualize and defamiliarize the social media spaces within which we are largely comfortable using methods from a variety of disciplinary perspectives, including philosophy, social psychology, cultural theory, and media studies
1999 HOLA Letter to Prospective Students
HOLA Letter to Prospective Students inviting them to "Pre-Frosh"" weekend
September-October HOLA Meeting Notes
HOLA Meeting notes for September through December of 199
Statement by SAO concerning the IC
Statement authored by SAO offering their support to the establishment of an Intercultural Cente
La confianza y el respeto mutuo
Oulahan emphasizes the importance of trust and mutual respect in worker-employer relations and the success of the workplace. He also talks about several of the efforts that have been made in order to improve these relations
Photography: Materials and Techniques
Students are encouraged to develop an individual approach to photography. Work is critiqued weekly to give critical insights into editing of individual student work and the use of the appropriate photographic materials in analog or digital formats necessary to give coherence to that work. Study of the photography collection, gallery and museum exhibitions, lectures and a critical analysis of photographic sequences in books and a research project supplement the weekly critiques. In addition students produce a handmade archival box to house their work, which is organized into a loose sequence and mounted to archival standards