activity
20152022
most citedOn the computational complexity of the probabilistic label tree algorithms

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

collaborators

14 papers

quant-ph2022

Quantum Worst-Case to Average-Case Reductions for All Linear Problems

Vahid R. Asadi, Alexander Golovnev, Tom Gur +2

We study the problem of designing worst-case to average-case reductions for quantum algorithms. For all linear problems, we provide an explicit and efficient transformation of quan…

cs.CC20221 cited

Lattice Problems Beyond Polynomial Time

Divesh Aggarwal, Huck Bennett, Zvika Brakerski +6

We study the complexity of lattice problems in a world where algorithms, reductions, and protocols can run in superpolynomial time, revisiting four foundational results: two worst-…

cs.DS2022

Worst-Case to Average-Case Reductions via Additive Combinatorics

Vahid R. Asadi, Alexander Golovnev, Tom Gur +1

We present a new framework for designing worst-case to average-case reductions. For a large class of problems, it provides an explicit transformation of algorithms running in time…

cs.CC2020

Optimal Streaming Approximations for all Boolean Max-2CSPs and Max-kSAT

Chi-Ning Chou, Alexander Golovnev, Santhoshini Velusamy

We prove tight upper and lower bounds on approximation ratios of all Boolean Max-2CSP problems in the streaming model. Specifically, for every type of Max-2CSP problem, we give an…

cs.CR2019

An Attack on the the Encryption Scheme of the Moscow Internet Voting System

Alexander Golovnev

The next Moscow City Duma elections will be held on September 8th with an option of Internet voting. Some source code of the voting system is posted online for public testing. Pier…

cs.LG20193 cited

On the computational complexity of the probabilistic label tree algorithms

Robert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev +4

Label tree-based algorithms are widely used to tackle multi-class and multi-label problems with a large number of labels. We focus on a particular subclass of these algorithms that…