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11 citations · 30 across the 7 of their papers we have counts for

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Showing 2018Show all

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cs.DS2018

Secretary Ranking with Minimal Inversions

Sepehr Assadi, Eric Balkanski, Renato Paes Leme

We study a twist on the classic secretary problem, which we term the secretary ranking problem: elements from an ordered set arrive in random order and instead of picking the maxim…

cs.DS2018

An Optimal Approximation for Submodular Maximization under a Matroid Constraint in the Adaptive Complexity Model

Eric Balkanski, Aviad Rubinstein, Yaron Singer

In this paper we study submodular maximization under a matroid constraint in the adaptive complexity model. This model was recently introduced in the context of submodular optimiza…

cs.LG2018

Parallelization does not Accelerate Convex Optimization: Adaptivity Lower Bounds for Non-smooth Convex Minimization

Eric Balkanski, Yaron Singer

In this paper we study the limitations of parallelization in convex optimization. A convenient approach to study parallelization is through the prism of \emph{adaptivity} which is…

cs.DS2018

Non-monotone Submodular Maximization in Exponentially Fewer Iterations

Eric Balkanski, Adam Breuer, Yaron Singer

In this paper we consider parallelization for applications whose objective can be expressed as maximizing a non-monotone submodular function under a cardinality constraint. Our mai…

cs.GT2018

On the Construction of Substitutes

Eric Balkanski, Renato Paes Leme

Gross substitutability is a central concept in Economics and is connected to important notions in Discrete Convex Analysis, Number Theory and the analysis of Greedy algorithms in C…

cs.DS2018

An Exponential Speedup in Parallel Running Time for Submodular Maximization without Loss in Approximation

Eric Balkanski, Aviad Rubinstein, Yaron Singer

In this paper we study the adaptivity of submodular maximization. Adaptivity quantifies the number of sequential rounds that an algorithm makes when function evaluations can be exe…