Noticias en español
Searching infected nodes in uncertain graphs.
Abstract: In the context of the COVID-19, the development of methods to trace the spread of the virus is of vital importance. One of such methods relies on PCR testing of wastewater samples to locate sudden the appearance of infection. Given a representation of the wastewater network as a directed graph, we aim for a strategy that finds a new infected node using the worst-case minimum number of tests. This problem proves to be challenging on networks with uncertainty, as is the case of real-world data. We will explore the connection with other known graph problems and show upper bounds for...
Read MoreMachine Covering in the Random-Order Model.
Abstract: n the Online Machine Covering problem, jobs, defined by their sizes, arrive one by one and have to be assigned to m parallel and identical machines, with the goal of maximizing the load of the least-loaded machine. Unfortunately, the classical model allows only fairly pessimistic performance guarantees: The best possible deterministic ratio of m is achieved by the Greedy-strategy, and the best known randomized algorithm has competitive ratio Õ(m^(1/2)), which cannot be improved by more than a logarithmic factor. In this talk, we will discuss results for the Machine Covering problem...
Read MoreSemi-random process.
Abstract: The semi-random graph process is a single-player game that begins with an empty graph on n vertices. In each round, a vertex u is presented to the player independently and uniformly at random. The player then adaptively selects a vertex v and adds the edge uv to the graph. For a fixed monotone graph property, the objective of the player is to force the graph to satisfy this property with high probability in as few rounds as possible. During the talk, we will focus on the following problems: a) perfect matchings, b) Hamilton cycles, c) constructing a subgraph isomorphic to an...
Read MoreEfficiency and fairness in random resource allocation and social choice.
Abstract: We study efficiency in general collective choice problems when agents have ordinal preferences, and randomization is allowed. We establish the equivalence between welfare maximization and ex-ante efficiency for general domains, and relate ex-ante efficiency with ex-post efficiency, characterizing when the two notions coincide. We also propose a new general notion of fairness that is applicable in any social choice environment, not only in resource allocation. Our results have implications for well-studied mechanisms including random serial dictatorship and a number of specific...
Read MoreSemi-random process.
Abstract: The semi-random graph process is a single-player game that begins with an empty graph on n vertices. In each round, a vertex u is presented to the player independently and uniformly at random. The player then adaptively selects a vertex v and adds the edge uv to the graph. For a fixed monotone graph property, the objective of the player is to force the graph to satisfy this property with high probability in as few rounds as possible. During the talk, we will focus on the following problems: a) perfect matchings, b) Hamilton cycles, c) constructing a subgraph isomorphic to an...
Read MorePercolation on dense random graphs with given degrees.
Abstract: We study the order of the largest connected component of a random graph having two sources of randomness: first, the graph is chosen randomly from all graphs with a given degree sequence, and then bond percolation is applied. Far from being able to classify all such degree sequences, we exhibit several new threshold phenomena for the order of the largest component in terms of both sources of randomness. We also provide an example of a degree sequence, for which the order of the largest component undergoes an unbounded number of jumps in terms of the percolation parameter, giving...
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