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Algorithms in Human Decision-Making: A Case Study With the COMPAS Risk Assessment Software
(2019-08-23)
This thesis uses the COMPAS algorithm as a case study to investigate the role of algorithmic risk assessments in human decision-making. The prior work on the COMPAS algorithm and similar risk assessment instruments focuses ...
"What Ya Gonna Do When They (Don’t) Come For You": Scheduling Algorithms for Geographically Equitable Police Dispatch
(2019-08-23)
In the year 2019, the debate over equity in Policing has gripped American attention. However while most research works to analyze race and gender bias in police law enforcement, few studies seek to understand equity as it ...
Computational Entropy and Cryptographic Constructions
(2019-08-23)
In the field of cryptography, the primitive of a one-way function is a powerful tool that can be effectively wielded to construct such tools as pseudorandom generators \citep{HILL99}, commitment schemes \citep{VZ11}, and ...
Directed Network Analysis of Genome-Wide Data for Post Traumatic Stress Disorder and Fibromyalgia Diagnosis
(2019-08-23)
Network-based computational analysis of genome-wide data has been used to aid prediction of disease status with success in the past. Machine learning classifiers are usually applied to datasets of gene expression and/or ...
Pushing the Team Together: Using Intergroup Competition to Counteract the Free-Riding Effect
(2019-08-23)
It is a well-documented social dilemma that as the size of a group increases, individual members of the group are incentivized to contribute less effort towards group tasks. This phenomenon has many names, including social ...
Evaluating Stock Market Performance Using Aggregated Employee Reviews
(2019-08-23)
Investors are constantly driven by a desire to outperform the market. While investments may perform well in the short-term, there is great difficulty in achieving long-term success. We show that using aggregated employee ...
Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-Agent Reinforcement Learning
(2019-08-23)
Cooperation is a phenomenon that has been widely studied across many different disciplines. In the field of computer science, the modularity and robustness of multi-agent systems offer significant practical advantages over ...
Undergraduate Fundamentals of Machine Learning
(2019-08-23)
Drawing on lectures, course materials, existing textbooks, and other resources, we synthesize and consolidate the content necessary to offer a successful first exposure to machine learning for students with an undergraduate-level ...
The Role of Interaction in Common Randomness and Secret Key Generation
(2019-08-23)
In this work we study the problems of common randomness generation (CRG) and secret key generation (SKG). In the CRG problem, two parties, Alice and Bob, receive samples X and Y, respectively, from some joint source ...
Reinforcement Learning Design: Modifying Stochastic Environments to Improve the Performance of Reinforcement Learning Agents
(2019-08-23)
In this thesis, I present the Reinforcement Learning Design (RLD) problem: the question of how to design training environments for reinforcement learning agents. Specifically, if given an evaluation environment, a set of ...