research
∙
07/11/2023
ℓ_p-Regression in the Arbitrary Partition Model of Communication
We consider the randomized communication complexity of the distributed ℓ...
share
research
∙
06/11/2023
Learning the Positions in CountSketch
We consider sketching algorithms which first compress data by multiplica...
research
∙
11/14/2022
The ℓ_p-Subspace Sketch Problem in Small Dimensions with Applications to Support Vector Machines
In the ℓ_p-subspace sketch problem, we are given an n× d matrix A with n...
research
∙
07/17/2022
Streaming Algorithms with Large Approximation Factors
We initiate a broad study of classical problems in the streaming model w...
research
∙
06/24/2022
Learning Augmented Binary Search Trees
A treap is a classic randomized binary search tree data structure that i...
research
∙
03/17/2022
Triangle and Four Cycle Counting with Predictions in Graph Streams
We propose data-driven one-pass streaming algorithms for estimating the ...
research
∙
05/12/2021
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
We study the problem of learning Bayesian networks where an ϵ-fraction o...
research
∙
02/24/2021
