activity
20152022
most citedOn Learning and Testing Decision Tree

3 citations · 6 across the 11 of their papers we have counts for

collaborators

17 papers

cs.LG2022

Almost Optimal Proper Learning and Testing Polynomials

Nader H. Bshouty

We give the first almost optimal polynomial-time proper learning algorithm of Boolean sparse multivariate polynomial under the uniform distribution. For -sparse polynomial over…

cs.DS20213 cited

On Learning and Testing Decision Tree

Nader H. Bshouty, Catherine A. Haddad-Zaknoon

In this paper, we study learning and testing decision tree of size and depth that are significantly smaller than the number of attributes . Our main result addresses the problem…

cs.IT2020

Optimal Deterministic Group Testing Algorithms to Estimate the Number of Defectives

Nader H. Bshouty, Catherine A. Haddad-Zaknoon

We study the problem of estimating the number of defective items within a pile of elements up to a multiplicative factor of , using deterministic group testing algorit…

cs.CC2020

An Optimal Tester for -Linear

Nader H. Bshouty

A Boolean function is -linear if it returns the sum (over the binary field ) of coordinates of the input. In this paper, we study property test…

cs.CC2020

Lecture Note on LCSSX's Lower Bounds for Non-Adaptive Distribution-free Property Testing

Nader H. Bshouty

In this lecture note we give Liu-Chen-Servedio-Sheng-Xie's (LCSSX) lower bound for property testing in the non-adaptive distribution-free.

cs.IT2020

Optimal Randomized Group Testing Algorithm to Determine the Number of Defectives

Nader H. Bshouty, Catherine A. Haddad-Zaknoon, Raghd Boulos +4

We study the problem of determining exactly the number of defective items in an adaptive Group testing by using a minimum number of tests. We improve the existing algorithm and pro…