In this paper, we establish a novel connection between total variation (...
A partition 𝒫 of ℝ^d is called a
(k,ε)-secluded partition if, for every ...
We investigate replicable learning algorithms. Ideally, we would like to...
Interpretations of logical formulas over semirings have applications in
...
Given a data stream 𝒟 = ⟨ a_1, a_2, …, a_m ⟩ of
m elements where each a_...
Rounding has proven to be a fundamental tool in theoretical computer sci...
Total variation distance (TV distance) is a fundamental notion of distan...
We consider the problem of efficiently inferring interventional distribu...
Constraint satisfaction problems (CSP's) and data stream models are two
...
The Acceptance Probability Estimation Problem (APEP) is to additively
ap...
We study the problems of identity and closeness testing of n-dimensional...
We provide finite sample guarantees for the classical Chow-Liu algorithm...
We design efficient distance approximation algorithms for several classe...
We study the problem of efficiently estimating the effect of an interven...