Søren Kristoffer Stiil Frederiksen
Aarhus University
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algorithmic game theory | 2014
Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen; Jie Zhang
We study the problem of approximate social welfare maximization (without money) in one-sided matching problems when agents have unrestricted cardinal preferences over a finite set of items. Random priority is a very well-known truthful-in-expectation mechanism for the problem. We prove that the approximation ratio of random priority is Θ(n − 1/2) while no truthful-in-expectation mechanism can achieve an approximation ratio better than O(n − 1/2), where n is the number of agents and items. Furthermore, we prove that the approximation ratio of all ordinal (not necessarily truthful-in-expectation) mechanisms is upper bounded by O(n − 1/2), indicating that random priority is asymptotically the best truthful-in-expectation mechanism and the best ordinal mechanism for the problem.
workshop on internet and network economics | 2016
Ioannis Caragiannis; Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen; Kristoffer Arnsfelt Hansen; Zihan Tan
We study the truthful facility assignment problem, where a set of agents with private most-preferred points on a metric space are assigned to facilities that lie on the metric space, under capacity constraints on the facilities. The goal is to produce such an assignment that minimizes the social cost, i.e., the total distance between the most-preferred points of the agents and their corresponding facilities in the assignment, under the constraint of truthfulness, which ensures that agents do not misreport their most-preferred points. We propose a resource augmentation framework, where a truthful mechanism is evaluated by its worst-case performance on an instance with enhanced facility capacities against the optimal mechanism on the same instance with the original capacities. We study a well-known mechanism, Serial Dictatorship, and provide an exact analysis of its performance. Among other results, we prove that Serial Dictatorship has approximation ratio
adaptive agents and multi-agents systems | 2016
George Christodoulou; Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen; Paul W. Goldberg; Jie Zhang; Jinshan Zhang
international symposium on algorithms and computation | 2013
Søren Kristoffer Stiil Frederiksen; Peter Bro Miltersen
g/g-2
international workshop on reachability problems | 2013
Søren Kristoffer Stiil Frederiksen; Peter Bro Miltersen
algorithmic decision theory | 2015
Wenyi Fang; Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen; Pingzhong Tang; Song Zuo
g/g-2 when the capacities are multiplied by any integer
national conference on artificial intelligence | 2014
Simina Brânzei; Yiling Chen; Xiaotie Deng; Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen; Jie Zhang
mathematical foundations of computer science | 2016
Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen; Paul W. Goldberg; Jie Zhang
g \ge 3
international conference on artificial intelligence | 2015
Haris Aziz; Simina Brânzei; Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen
Archive | 2015
George Christodoulou; Aris Filos-Ratsikas; Søren Kristoffer Stiil Frederiksen; Paul W. Goldberg; Jie Zhang; Jinshan Zhang
gi¾?3. Our results suggest that even a limited augmentation of the resources can have wondrous effects on the performance of the mechanism and in particular, the approximation ratio goes to 1 as the augmentation factor becomes large. We complement our results with bounds oni¾?the approximation ratio of Random Serial Dictatorship, the randomized version of Serial Dictatorship, when there is no resource augmentation.