We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize ...
We study iterative randomized greedy algorithms for generating (elimination) orderings with small induced width and state space size - two parameters known to bound the complexity...
Kalev Kask, Andrew Gelfand, Lars Otten, Rina Decht...
We introduce the Upgrading Shortest Paths Problem, a new combinatorial problem for improving network connectivity with a wide range of applications from multicast communication to ...
Bistra N. Dilkina, Katherine J. Lai, Carla P. Gome...
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Orthogonal matching pursuit (OMP) is the canonical greedy algorithm for sparse approximation. In this paper we demonstrate that the restricted isometry property (RIP) can be used f...
We investigate optimal routing and scheduling strategies for multi-hop wireless networks with rateless codes. Rateless codes allow each node of the network to accumulate mutual in...
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
The “ Priority Algorithm” is a model of computation introduced by Borodin, Nielsen and Rackoff [BNR03] which formulates a wide class of greedy algorithms. For an arbitrary se...
For aligning DNA sequences that differ only by sequencing errors, or by equivalent errors from other sources, a greedy algorithm can be much faster than traditional dynamic progra...
Zheng Zhang 0004, Scott Schwartz, Lukas Wagner, We...
Inthisarticle,wewillformalizethemethodofdualfittingandtheideaoffactor-revealingLP. This combination is used to design and analyze two greedy algorithms for the metric uncapacitated...
Kamal Jain, Mohammad Mahdian, Evangelos Markakis, ...