117,361 research outputs found
Reasoning about Independence in Probabilistic Models of Relational Data
We extend the theory of d-separation to cases in which data instances are not
independent and identically distributed. We show that applying the rules of
d-separation directly to the structure of probabilistic models of relational
data inaccurately infers conditional independence. We introduce relational
d-separation, a theory for deriving conditional independence facts from
relational models. We provide a new representation, the abstract ground graph,
that enables a sound, complete, and computationally efficient method for
answering d-separation queries about relational models, and we present
empirical results that demonstrate effectiveness.Comment: 61 pages, substantial revisions to formalisms, theory, and related
wor
A new property of the Lov\'asz number and duality relations between graph parameters
We show that for any graph , by considering "activation" through the
strong product with another graph , the relation between the independence number and the Lov\'{a}sz number of
can be made arbitrarily tight: Precisely, the inequality
becomes asymptotically an equality for a suitable sequence of ancillary graphs
.
This motivates us to look for other products of graph parameters of and
on the right hand side of the above relation. For instance, a result of
Rosenfeld and Hales states that with the fractional
packing number , and for every there exists that makes the
above an equality; conversely, for every graph there is a that attains
equality.
These findings constitute some sort of duality of graph parameters, mediated
through the independence number, under which and are dual
to each other, and the Lov\'{a}sz number is self-dual. We also show
duality of Schrijver's and Szegedy's variants and
of the Lov\'{a}sz number, and explore analogous notions for the chromatic
number under strong and disjunctive graph products.Comment: 16 pages, submitted to Discrete Applied Mathematics for a special
issue in memory of Levon Khachatrian; v2 has a full proof of the duality
between theta+ and theta- and a new author, some new references, and we
corrected several small errors and typo
From Bandits to Experts: A Tale of Domination and Independence
We consider the partial observability model for multi-armed bandits,
introduced by Mannor and Shamir. Our main result is a characterization of
regret in the directed observability model in terms of the dominating and
independence numbers of the observability graph. We also show that in the
undirected case, the learner can achieve optimal regret without even accessing
the observability graph before selecting an action. Both results are shown
using variants of the Exp3 algorithm operating on the observability graph in a
time-efficient manner
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