BOCK : Bayesian Optimization with Cylindrical Kernels

A major challenge in Bayesian Optimization is the boundary issue (Swersky, 2017) where an algorithm spends too many evaluations near the boundary of its search space. In this paper, we propose BOCK, Bayesian Optimization with Cylindrical Kernels, whose basic idea is to transform the ball geometry of the search space using a cylindrical transformation. Because of the transformed geometry, the Gaussian Process-based surrogate model spends less budget searching near the boundary, while concentrating its efforts relatively more near the center of the search region, where we expect the solution to be located. We evaluate BOCK extensively, showing that it is not only more accurate and efficient, but it also scales successfully to problems with a dimensionality as high as 500. We show that the better accuracy and scalability of BOCK even allows optimizing modestly sized neural network layers, as well as neural network hyperparameters.Comment: 10 pages, 5 figures, 5 tables, 1 algorith

Kostenberger, Bock, and Chatraw\u27s Truth Matters: Confident Faith in a Confusing World (Book Review)

A Review of Truth Matters: Confident Faith in a Confusing World, by Andreas Köstenberger, Darrell Bock, and Josh Chatraw. Nashville, TN: B&H Publishing, 2014. 188 pp. $9.00. ISBN 978143368226

In Memoriam Albert Bock

Ein Nachruf auf Albert Bock, Mitbegründer von Brennos – Verein für Keltologie und Keltische Forschungen, samt Publikationsliste.A tribute to Albert Bock, co-founder of Brennos – Verein für Keltologie and Keltische Forschungen, with a publication list

Unsung Hero: Alison Bock

As the founder and president of Landmines Blow!®, Alison Bock has built an influential organization that raises awareness about landmines and unexploded ordnance, and helps victims all over the world. In the eyes of many people, Bock is truly an Unsung Hero

Measuring the string susceptibility in 2D simplicial quantum gravity using the Regge approach

We use Monte Carlo simulations to study pure 2D Euclidean quantum gravity with $R^2$-interaction on spherical topologies, employing Regge's formulation. We attempt to measure the string susceptibility exponent $\gamma_{\rm str}$ by using a finite-size scaling Ansatz in the expectation value of $R^2$, as has been done in a previous study by Bock and Vink ( hep-lat/9406018 ). By considerably extending the range and statistics of their study we find that this Ansatz is plagued by large systematic errors. The $R^2$ specific string susceptibility exponent \GS' is found to agree with theoretical predictions, but its determination also is subject to large systematic errors and the presence of finite-size scaling corrections. To circumvent this obstacle we suggest a new scaling Ansatz which in principle should be able to predict both, \GS and \GS'. First results indicate that this requires large system sizes to reduce the uncertainties in the finite-size scaling Ans\"atze. Nevertheless, our investigation shows that within the achievable accuracy the numerical estimates are still compatible with analytic predictions, contrary to the recent claim by Bock and Vink.Comment: 33 pages, self unpacking uuencoded PostScript file, including all the figures. Paper also available at http://www.physik.fu-berlin.de/~holm

Can Universities Encourage Students Continued Motivation For Knowledge Sharing And How Can This Help Organizations?

Both practitioners and researchers recognize the increasing importance of knowledge sharing in organizations (Bock, Zmud, Kim, & Lee, 2005; Vera-Muz, Ho, & Chow, 2006). Knowledge sharing influences a firm\u27s knowledge creation, organizational learning, performance achievement, growth, and competitive advantage (Bartol & Srivastava, 2002; Bock & Kim, 2002; Vera-Muz et al., 2006). However, an individual\u27s natural tendency is to hoard knowledge rather than to share knowledge (Davenport, 1997; Ruggles, 1998). So, how can knowledge sharing be encouraged? Extrinsic rewards are believed to effectively motivate desired behaviors (Bartol & Locke, 2000). Under certain environmental conditions, extrinsic rewards are also believed to develop a more sustained motivation, called self-determined motivation, for these behaviors (Deci & Ryan, 1991). These ideas raise the following questions: (a) Do extrinsic rewards motivate students to share knowledge? and (b) How can universities encourage individuals to develop the self-determined motivation to take part in desired behaviors such as knowledge sharing? This study investigates the effect of extrinsic rewards on knowledge sharing in a team setting. It also examines whether universities can facilitate individuals\u27 continued or self-determined motivation to share knowledge using certain environmental conditions. To examine these questions, I perform an experiment with 113 undergraduate students from accounting and management classes who are working on team projects. Results suggest that specifically rewarding knowledge sharing can increase individuals\u27 knowledge-sharing behaviors and, in the right environment, their internalization of the motivation to share knowledge

Regular Transformation Groups Based on Fourier-Gauss Transforms

We discuss different representations of the White noise spaces $(E)_{\beta}$, $0 \leq \beta < 1$ by introducing generalized Wick tensors. As an application we state a generalization of the Mehler formula for the Ornstein-Uhlenbeck semigroup

Irrelevant natural extension for choice functions

We consider coherent choice functions under the recent axiomatisation proposed by De Bock and De Cooman that guarantees a representation in terms of binary preferences, and we discuss how to define conditioning in this framework. In a multivariate context, we propose a notion of marginalisation, and its inverse operation called weak (cylindrical) extension. We combine this with our definition of conditioning to define a notion of irrelevance, and we obtain the irrelevant natural extension in this framework: the least informative choice function that satisfies a given irrelevance assessment

Amy Bock and the Western Tradition of Passing Women

Amy Bock and the Western Tradition of Passing Wome