The authors of "Succinct Range Filters" make a critical and insightful observation: For a given set of queries, the upper levels of the trie incur many more accesses...Stratos Idreos From Communications of the ACM | April 2021
We present the Succinct Range Filter (SuRF), a fast and compact data structure for approximate membership tests.
Huanchen Zhang, Hyeontaek Lim, Viktor Leis, David G. Andersen, Michael Kaminsky, Kimberly Keeton, Andrew Pavlo From Communications of the ACM | April 2021
There are few algorithms for multi-flow graphs beyond flow accumulation. The authors of "Flood-Risk Analysis on Terrains" take a big step to fill this knowledge...Shashi Shekhar From Communications of the ACM | September 2020
In this paper, we study a number of flood-risk related problems, give an overview of efficient algorithms for them, as well as explore the efficacy and efficiency...Aaron Lowe, Pankaj K. Agarwal, Mathias Rav From Communications of the ACM | September 2020
"Computing Value of Spatiotemporal Information," by Heba Aly et al., describes a technique for computing the monetary value of a person's location data for a potential...Cyrus Shahabi From Communications of the ACM | September 2020
We investigate the intrinsic value of location data in the context of strong privacy, where location information is only available from end users via purchase.
...Heba Aly, John Krumm, Gireeja Ranade, Eric Horvitz From Communications of the ACM | September 2020
"Scalable Computation of High-Order Optimization Queries," by Brucato et al., makes a case for marrying the well-established paradigms of constrained optimization...Surajit Chaudhuri From Communications of the ACM | February 2019
We present a complete system that supports package queries, a new query model that extends traditional database queries to handle complex constraints and preferences...Matteo Brucato, Azza Abouzied, Alexandra Meliou From Communications of the ACM | February 2019
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
"Heads-Up Limit Hold'em Poker Is Solved," by Michael Bowling, et al., takes the counterfactual regret minimization method for approximating a Nash equilibrium to...David Silver From Communications of the ACM | November 2017
This paper is an extended version of our original 2015 Science article, with additional results showing Cepheus' in-game performance against computer and human...Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin From Communications of the ACM | November 2017
"A Large-Scale Study of Programming Languages and Code Quality in GitHub," by Baishakhi Ray, et al., studies whether programming language choice and code quality...Jeffrey S. Foster From Communications of the ACM | October 2017
What is the effect of programming languages on software quality? In this study, we gather a very large data set from GitHub in an attempt to shed some empirical...Baishakhi Ray, Daryl Posnett, Premkumar Devanbu, Vladimir Filkov From Communications of the ACM | October 2017
"Multi-Objective Parametric Query Optimization," by Immanuel Trummer and Christoph Koch is a remarkable tour de force exploration of the combination of both parametric...Jeffrey F. Naughton From Communications of the ACM | October 2017
We propose a generalization of the classical database query optimization problem: multi-objective parametric query (MPQ) optimization.
Immanuel Trummer, Christoph Koch From Communications of the ACM | October 2017
We are in the middle of the third wave of interest in artificial neural networks as the leading paradigm for machine learning. "ImageNet Classification with Deep...Jitendra Malik From Communications of the ACM | June 2017
In the 1980s backpropagation did not live up to the very high expectations of its advocates. Twenty years later, we know what went wrong: for deep neural networks...Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton From Communications of the ACM | June 2017