A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

We present a tutorial on Bayesian optimization, a method of finding the maximum of expensive cost functions. Bayesian optimization employs the Bayesian technique of setting a prior over the objective function and combining it with evidence to get a posterior function. This permits a utility-based selection of the next observation to make on the objective function, which must take into account both exploration (sampling from areas of high uncertainty) and exploitation (sampling areas likely to offer improvement over the current best observation). We also present two detailed extensions of Bayesian optimization, with experiments---active user modelling with preferences, and hierarchical reinforcement learning---and a discussion of the pros and cons of Bayesian optimization based on our experiences

Law in the present future : approaching the legal imaginary of smart cities with science (and) fiction

This doctoral research concerns smart cities, describing digital solutions and social issues related to their innovative technologies, adopted models, and major projects around the world. The many perspectives mentioned in it were identified by online tools used for the textual analysis of two databases that were built from relevant publications on the main subject by authors coming from media and academia. Expected legal elements emerged from the applied process, such as privacy, security, transparency, participation, accountability, and governance. A general review was produced on the information available about the public policies of Big Data in the two municipal cases of Rio de Janeiro and Montréal, and their regulation in the Brazilian and Canadian contexts. The combined approaches from science and literature were explored to reflect on the normative concerns represented by the global challenges and local risks brought by urban surveillance, climate change, and other neoliberal conditions. Cyberpunk Science Fiction reveals itself useful for engaging with the shared problems that need to be faced in the present time, all involving democracy. The results achieved reveal that this work was, in fact, about the complex network of practices and senses between (post)modern law and the imaginary of the future.Cette recherche doctorale centrée sur les villes intelligentes met en évidence les solutions numériques et les questionnements sociétaux qui ont trait aux technologies innovantes, ainsi qu’aux principaux modèles et projets développés autour d’elles à travers le monde. Des perspectives multiples en lien avec ces développements ont été identifiées à l’aide d’outils en ligne qui ont permis l’analyse textuelle de deux bases de données comprenant des publications scientifiques et des écrits médiatiques. De ce processus analytique ont émergé des éléments juridiques relatifs aux questions de vie privée, de sécurité, de transparence, de participation, d’imputabilité et de gouvernance. De plus, à partir de ces informations a été réalisée une revue des politiques publiques relatives aux mégadonnées dans les villes de Rio de Janeiro et de Montréal, ainsi que des réglementations nationales du Canada et du Brésil en lien avec ce sujet. Finalement, à travers l’exploration d’écrits scientifiques et fictionnels de la littérature, les principaux enjeux normatifs soulevés localement et mondialement par la surveillance urbaine, les changements climatiques et les politiques néolibérales ont pu être mis à jour. Le courant cyberpunk de la science-fiction s’est avéré particulièrement utile pour révéler les principaux problèmes politiques, en lien avec la préservation de la démocratie, auxquelles sont confrontées nos sociétés présentement. Les résultats de la recherche démontrent finalement la présence d’un réseau de pratiques et de significations entre le droit (post)moderne et les représentations imaginaires du futur

Philosophical perspectives on the stigma of mental illness

This thesis is concerned with philosophical perspectives on the stigma of mental illness, with each chapter exploring different philosophical issues. Chapter one delineates the central concept around which the rest of the work revolves: the stigma of mental illness. It provides an outline of the stigma mechanism, how it applies to mental illness, why it is such a large public health concern and what has been done so far to combat it. Chapter two is concerned with the application of recent literature in the philosophy of implicit bias to the topic of mental illness. It suggests that we have hitherto been preoccupied with explicit formulations of the stigma mechanism, but argues that there are distinctive issues involved in combatting forms of discrimination in which the participants are not cognisant of their attitudes or actions, and that anti-stigma initiatives for mental illness should take note. Chapter three applies the philosophical literature concerning the ethics of our epistemic practices to the stigma of mental illness. It contains an analysis of how epistemic injustice- primarily in the forms of testimonial injustice and stereotype threat- affects those with mental illnesses. The fourth chapter brings in issues in the philosophy of science (particularly the philosophy of psychiatry) to explore the possibility of intervening on the stigma process to halt the stigma of mental illness. The first candidate (preventing labelling) is discounted, and the second (combatting stereotype) is tentatively endorsed. The fifth chapter is concerned with how language facilitates the stigma of mental illness. It suggests that using generics to talk about mental illness (whether the knowledge structure conveyed is inaccurate or accurate) is deeply problematic. In the former, it conveys insidious forms of social stereotyping. In the latter, it propagates misinformation by presenting the category as a quintessential one