Issue Downloads
Faster and Simpler Sketches of Valuation Functions
We present fast algorithms for sketching valuation functions. Let N (|N| = n) be some ground set and v:2N→ R be a function. We say that v˜:2N→ R is an α-sketch of v if for every set S we have that v(S)/α ≤ v˜(S) ≤ v(S) and v˜ can be described in poly(n) ...
Time vs. Information Tradeoffs for Leader Election in Anonymous Trees
Leader election is one of the fundamental problems in distributed computing. It calls for all nodes of a network to agree on a single node, called the leader. If the nodes of the network have distinct labels, then agreeing on a single node means that ...
For-All Sparse Recovery in Near-Optimal Time
An approximate sparse recovery system in ℓ1 norm consists of parameters k, ϵ, N; an m-by-N measurement Φ; and a recovery algorithm R. Given a vector, x, the system approximates x by xˆ = R(Φ x), which must satisfy ‖ xˆ-x‖1 ≤ (1+ϵ)‖ x - xk‖1. We consider ...
Algorithmic and Enumerative Aspects of the Moser-Tardos Distribution
Moser and Tardos have developed a powerful algorithmic approach (henceforth MT) to the Lovász Local Lemma (LLL); the basic operation done in MT and its variants is a search for “bad” events in a current configuration. In the initial stage of MT, the ...
Nearly Optimal Deterministic Algorithm for Sparse Walsh-Hadamard Transform
For every fixed constant α > 0, we design an algorithm for computing the k-sparse Walsh-Hadamard transform (i.e., Discrete Fourier Transform over the Boolean cube) of an N-dimensional vector x ∈ RN in time k1 + α(log N)O(1). Specifically, the algorithm ...
Uniform Kernelization Complexity of Hitting Forbidden Minors
The F-Minor-Free Deletion problem asks, for a fixed set F and an input consisting of a graph G and integer k, whether k vertices can be removed from G such that the resulting graph does not contain any member of F as a minor. At FOCS 2012, Fomin et al. ...
Representative Families of Product Families
A subfamily F′ of a set family F is said to q-represent F if for every A ∈ F and B of size q such that A∩B = ∅ there exists a set A′ ∈ F′ such that A′ ∩ B = ∅. Recently, we provided an algorithm that, for a given family F of sets of size p together with ...
Combinatorial Algorithm for Restricted Max-Min Fair Allocation
We study the basic allocation problem of assigning resources to players to maximize fairness. This is one of the few natural problems that enjoys the intriguing status of having a better estimation algorithm than approximation algorithm. Indeed, a ...
Cost-Oblivious Storage Reallocation
Databases allocate and free blocks of storage on disk. Freed blocks introduce holes where no data is stored. Allocation systems attempt to reuse such deallocated regions in order to minimize the footprint on disk. When previously allocated blocks cannot ...
Maximizing Symmetric Submodular Functions
Symmetric submodular functions are an important family of submodular functions capturing many interesting cases, including cut functions of graphs and hypergraphs. Maximization of such functions subject to various constraints receives little attention ...
Improved Approximation Algorithm for Steiner k-Forest with Nearly Uniform Weights
In the Steiner k-Forest problem, we are given an edge weighted graph, a collection D of node pairs, and an integer k ⩽ |D|. The goal is to find a min-weight subgraph that connects at least k pairs. The best known ratio for this problem is min {O(√n), O(√...
Max-Sum Diversification, Monotone Submodular Functions, and Dynamic Updates
Result diversification is an important aspect in web-based search, document summarization, facility location, portfolio management, and other applications. Given a set of ranked results for a set of objects (e.g., web documents, facilities, etc.) with a ...
Hollow Heaps
We introduce the hollow heap, a very simple data structure with the same amortized efficiency as the classical Fibonacci heap. All heap operations except delete and delete-min take O(1) time, worst case as well as amortized; delete and delete-min take O(...
Tight Kernel Bounds for Problems on Graphs with Small Degeneracy
Kernelization is a strong and widely applied technique in parameterized complexity. In a nutshell, a kernelization algorithm for a parameterized problem transforms in polynomial time a given instance of the problem into an equivalent instance whose size ...