most citedEnergy Efficient Scheduling and Routing via Randomized Rounding

42 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GT20171 cited

Sponsored Search Auctions with Rich Ads

Ruggiero Cavallo, Prabhakar Krishnamurthy, Maxim Sviridenko +1

The generalized second price (GSP) auction has served as the core selling mechanism for sponsored search ads for over a decade. However, recent trends expanding the set of allowed…

cs.DS2014

Polynomial-Time Approximation Schemes for Circle and Other Packing Problems

Flávio K. Miyazawa, Lehilton L. C. Pedrosa, Rafael C. S. Schouery +2

We give an asymptotic approximation scheme (APTAS) for the problem of packing a set of circles into a minimum number of unit square bins. To obtain rational solutions, we use augme…

cs.DS20145 cited

An Algorithm for Online K-Means Clustering

Edo Liberty, Ram Sriharsha, Maxim Sviridenko

This paper shows that one can be competitive with the k-means objective while operating online. In this model, the algorithm receives vectors v_1,...,v_n one by one in an arbitrary…

cs.DS2014

Optimization Problems with Diseconomies of Scale via Decoupling

Konstantin Makarychev, Maxim Sviridenko

We present a new framework for solving optimization problems with a diseconomy of scale. In such problems, our goal is to minimize the cost of resources used to perform a certain t…

cs.CC20142 cited

Maximum Quadratic Assignment Problem: Reduction from Maximum Label Cover and LP-based Approximation Algorithm

Konstantin Makarychev, Rajsekar Manokaran, Maxim Sviridenko

We show that for every positive , unless NP BPQP, it is impossible to approximate the maximum quadratic assignment problem within a factor better than $2^{\log^{1-ε…

cs.DS201442 cited

Energy Efficient Scheduling and Routing via Randomized Rounding

Evripidis Bampis, Alexander Kononov, Dimitrios Letsios +2

We propose a unifying framework based on configuration linear programs and randomized rounding, for different energy optimization problems in the dynamic speed-scaling setting. We…