We show that a fully polynomial time approximation scheme given
for an optimization problem can always be simply modified to a
polynomial time algorithm solving the problem optimally if the
computation model is the deterministic Turing Machine or the
logarithmic cost RAM and ... more >>>

We prove that all of the following assertions are equivalent:
There is a many-one complete disjoint NP-pair;
there is a strongly many-one complete disjoint NP-pair;
there is a Turing complete disjoint NP-pair such that all reductions
are smart reductions;
there is a complete disjoint NP-pair for one-to-one, invertible ... more >>>

There are two approaches to solving a new supervised learning task: either
analyze the task independently or reduce it to a task that has already
been thoroughly analyzed. This paper investigates the latter approach for
classification problems. In addition to obvious theoretical motivations,
there is fairly strong empirical evidence that ... more >>>

The notion of promise problems was introduced and initially studied
by Even, Selman and Yacobi
(Information and Control, Vol.~61, pages 159-173, 1984).
In this article we survey some of the applications that this
notion has found in the twenty years that elapsed.
These include the notion of ... more >>>

The Small-Set Expansion Hypothesis (Raghavendra, Steurer, STOC 2010) is a natural hardness assumption concerning the problem of approximating the edge expansion of small sets in graphs. This hardness assumption is closely connected to the Unique Games Conjecture (Khot, STOC 2002). In particular, the Small-Set Expansion Hypothesis implies the Unique Games ... more >>>