We introduce the problem of active causal structure learning with advice...
We study the Online Traveling Salesperson Problem (OLTSP) with predictio...
We study the online Traveling Salesman Problem (TSP) on the line augment...
In this work we refine the analysis of the distributed Laplacian solver
...
The model was recently introduced by Augustine et al.
<cit.> in order t...
Following the research agenda initiated by Munoz Vassilvitskii [1] a...
We provide a computationally and statistically efficient estimator for t...
This work provides several new insights on the robustness of Kearns'
sta...
We study the problem of testing discrete distributions with a focus on t...
The classical analysis of online algorithms, due to its worst-case natur...
In this work, we consider the sample complexity required for testing the...
We study the problem of distribution-independent PAC learning of
halfsp...
We study distribution testing with communication and memory constraints ...
We consider the task of designing Local Computation Algorithms (LCA) for...
We provide an efficient algorithm for the classical problem, going back ...
We present O( n)-round algorithms in the Massively Parallel
Computation ...
A wide range of learning tasks require human input in labeling massive d...