Industry 4.0 has brought to attention the need for a connected, flexible...
In this paper, we propose Advanced Tree-algorithm with Interference
Canc...
In this article, we calculate the mean throughput, number of collisions,...
In this paper, we outline the approach for the derivation of the length ...
Bayesian models of group learning are studied in Economics since the 197...
In this work, we consider a remote monitoring scenario in which multiple...
In this paper, we perform a thorough analysis of tree-algorithms with
mu...
When data is collected in an adaptive manner, even simple methods like
o...
We argue that the next frontier in natural language understanding (NLU) ...
In this paper, we analyze binary-tree algorithms in a setup in which the...
Adaptive collection of data is increasingly commonplace in many applicat...
We provide the first information theoretic tight analysis for inference ...
Unlike its cousin 3SAT, the NAE-3SAT (not-all-equal-3SAT) problem has th...
Estimators computed from adaptively collected data do not behave like th...
Maximum A posteriori Probability (MAP) inference in graphical models amo...
Given a large data matrix A∈R^n× n, we consider the
problem of determini...
In sparse principal component analysis we are given noisy observations o...
A large number of online services provide automated recommendations to h...