ar X iv : 1 41 0 . 87 50 v 1 [ cs . L G ] 3 1 O ct 2 01 4 Learning Mixtures of Ranking Models ∗

نویسندگان

  • Pranjal Awasthi
  • Avrim Blum
  • Aravindan Vijayaraghavan
چکیده

This work concerns learning probabilistic models for ranking data in a heteroge-neous population. The specific problem we study is learning the parameters of aMallows Mixture Model. Despite being widely studied, current heuristics for thisproblem do not have theoretical guarantees and can get stuck in bad local optima.We present the first polynomial time algorithm which provably learns the param-eters of a mixture of two Mallows models. A key component of our algorithm isa novel use of tensor decomposition techniques to learn the top-k prefix in boththe rankings. Before this work, even the question of identifiability in the case of amixture of two Mallows models was unresolved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

ar X iv : 1 71 0 . 05 14 0 v 1 [ cs . C C ] 1 4 O ct 2 01 7 On complexity of multidistance graph recognition in R 1 Mikhail Tikhomirov

Let A be a set of positive numbers. A graph G is called an Aembeddable graph in R if the vertices of G can be positioned in R so that the distance between endpoints of any edge is an element of A. We consider the computational problem of recognizing A-embeddable graphs in R1 and classify all finite sets A by complexity of this problem in several natural variations.

متن کامل

ar X iv : n uc l - th / 0 61 01 28 v 1 3 1 O ct 2 00 6 Factorization for hadronic heavy quarkonium production ⋆ Jian

We briefly review several models of heavy quarkonium production in hadronic collisions, and discuss the status of QCD factorization for these production models.

متن کامل

ar X iv : 1 41 2 . 60 75 v 1 [ cs . D M ] 2 2 O ct 2 01 4 A Generalized Cheeger Inequality ∗

where capG(S, S̄) is the total weight of the edges crossing from S to S̄ = V − S. We show that the minimum generalized eigenvalue λ(LG, LH) of the pair of Laplacians LG and LH satisfies λ(LG, LH) ≥ φ(G,H)φ(G)/8, where φ(G) is the usual conductance of G. A generalized cut that meets this bound can be obtained from the generalized eigenvector corresponding to λ(LG, LH). The inequality complements a...

متن کامل

Doubly Balanced Connected Graph Partitioning

We introduce and study the Doubly Balanced Connected graph Partitioning (DBCP) problem: Let G=(V,E) be a connected graph with a weight (supply/demand) function p:V→ {−1,+1} satisfying p(V )= ∑ j∈V p(j)=0. The objective is to partition G into (V1, V2) such that G[V1] and G[V2] are connected, |p(V1)|, |p(V2)|≤cp, and max{ |V1| |V2| , |V2| |V1|}≤cs, for some constants cp and cs. When G is 2-connec...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014