"Accelerating GPU Betweenness Centrality" by McLaughlin and Bader ably addresses the challenges to authors of efficient graph implementations in the important context...John D. Owens From Communications of the ACM | August 2018
We present a hybrid GPU implementation that provides good performance on graphs of arbitrary structure rather than just scale-free graphs as was done previously...Adam McLaughlin, David A. Bader From Communications of the ACM | August 2018
"Majority Is Not Enough: Bitcoin Mining Is Vulnerable," by Eyal and Sirer, questions the 2009 Bitcoin white paper's implicit assumption of perfect information—that...Sharon Goldberg, Ethan Heilman From Communications of the ACM | July 2018
"Never-Ending Learning" is the latest and one of the most compelling incarnations of Tom Mitchell and his collaborators' research investigating how to broaden the...Oren Etzioni From Communications of the ACM | May 2018
In this paper we define more precisely the never-ending learning paradigm for machine learning, and present one case study: the Never-Ending Language Learner (NELL)...T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling From Communications of the ACM | May 2018
This article shows that some new theoretical algorithms that have provable guarantees can be adapted to yield highly practical tools for topic modeling.
Sanjeev Arora, Rong Ge, Yoni Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu From Communications of the ACM | April 2018
In "Time-Inconsistent Planning: A Computational Problem in Behavioral Economics," Kleinberg and Oren describe a graph-theoretic framework for task planning with...Nicole Immorlica From Communications of the ACM | March 2018
We propose a graph-theoretic model of tasks and goals, in which dependencies among actions are represented by a directed graph, and a time-inconsistent agent constructs...Jon Kleinberg, Sigal Oren From Communications of the ACM | March 2018
"Which Is the Fairest (Rent Division) of Them All?" focuses on the problem of rent division, and stands out in the variety of techniques applied to arrive at a...Vincent Conitzer From Communications of the ACM | February 2018
What is a fair way to assign rooms to several housemates, and divide the rent between them? We develop a general algorithmic framework that enables the computation...Kobi Gal, Ariel D. Procaccia, Moshe Mash, Yair Zick From Communications of the ACM | February 2018
"Halide: Decoupling Algorithms from Schedules for High-Performance Image Processing" by Ragan-Kelley et al. on the image processing language Halide explores a substantially...Manuel Chakravarty From Communications of the ACM | January 2018
We propose a new programming language for image processing pipelines, called Halide, that separates the algorithm from its schedule.
Jonathan Ragan-Kelley, Andrew Adams, Dillon Sharlet, Connelly Barnes, Sylvain Paris, Marc Levoy, Saman Amarasinghe, Frédo Durand From Communications of the ACM | January 2018
The incentive auction scenario provides the backdrop for the breathtaking research contribution presented by Newman et al. in "Deep Optimization for Spectrum Repacking...David C. Parkes From Communications of the ACM | January 2018
This paper describes the process by which we built the SAT-based Feasibility Checker, a crucial element of the 2016-17 U.S. FCC "incentive auction" design.
Neil Newman, Alexandre Fréchette, Kevin Leyton-Brown From Communications of the ACM | January 2018
"A Theory of Pricing Private Data," by Chao Li, et al., introduces a fascinating and complicated issue that arises on the buy-side of the market when buyers are...Aaron Roth From Communications of the ACM | December 2017
We describe the foundations of a market in which those seeking access to data must pay for it and individuals are compensated for the loss of privacy they may suffer...Chao Li, Daniel Yang Li, Gerome Miklau, Dan Suciu From Communications of the ACM | December 2017
"The Heat Method for Distance Computation," by Crane, Weischedel, and Wardetzky, shows that the gradient of the probability density function of a random walk is...Marc Alexa From Communications of the ACM | November 2017
We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains.
Keenan Crane, Clarisse Weischedel, Max Wardetzky From Communications of the ACM | November 2017