Autocoreset: An automatic practical coreset construction framework

Alaa Maalouf , Murad Tukan , Vladimir Braverman , Daniela Rus
International Conference on Machine Learning 23451 -23466

3
2023
Least-Mean-Squares Coresets for Infinite Streams

Vladimir Braverman , Dan Feldman , Harry Lang , Daniela Rus
IEEE Transactions on Knowledge and Data Engineering

2
2022
Sparse Coresets for SVD on Infinite Streams

Vladimir Braverman , Dan Feldman , Harry Lang , Daniela Rus
arXiv preprint arXiv:2002.06296

2020
A collective AI via lifelong learning and sharing at the edge

Andrea Soltoggio , Eseoghene Ben-Iwhiwhu , Vladimir Braverman , Eric Eaton
Nature Machine Intelligence 6 ( 3) 251 -264

1
2024
FOCS 2013

Emmanuel Abbe , Amir Abboud , Jake Abernethy , Ittai Abraham

Jacob Abernethy Dimitris Achlioptas Nir Ailon Adi Akavia

Susanne Albers , David Aldous , Noga Alon , Joel Alwen

NSF Workshop Report on Programmable Networks

Anirudh Sivaraman , Xin Jin , Vladimir Braverman , Mohammad Alizadeh

2019
Implicit bias of gradient descent for logistic regression at the edge of stability

Jingfeng Wu , Vladimir Braverman , Jason D Lee
Advances in Neural Information Processing Systems 36

8
2024
ASAP: Fast, Approximate Graph Pattern Mining at Scale

I Anand , Zaoxing Liu , Xin Jin , Shivaram Venkataraman
Proceedings of the USENIX conference

2018
Flow-level loss detection with Δ-sketches

Shir Landau Feibish , Zaoxing Liu , Nikita Ivkin , Xiaoqi Chen
25 -32

4
2022
Learning high-dimensional single-neuron relu networks with finite samples

Jingfeng Wu , Difan Zou , Zixiang Chen , Vladimir Braverman
arXiv preprint arXiv:2303.02255

2
2023
Approximate convex hull of data streams

Avrim Blum , Vladimir Braverman , Ananya Kumar , Harry Lang
arXiv preprint arXiv:1712.04564

10
2017
The white-box adversarial data stream model

Miklós Ajtai , Vladimir Braverman , TS Jayram , Sandeep Silwal
15 -27

15
2022
Fast and memory-efficient scRNA-seq k-means clustering with various distances

Daniel N Baker , Nathan Dyjack , Vladimir Braverman , Stephanie C Hicks
1 -8

6
2021
A scalable and unbiased discordance metric with H+

Nathan Dyjack , Daniel N Baker , Vladimir Braverman , Ben Langmead
Biostatistics 25 ( 1) 188 -202

1
2024
The power of uniform sampling for coresets

Vladimir Braverman , Vincent Cohen-Addad , H-C Shaofeng Jiang , Robert Krauthgamer
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) 462 -473

31
2022
Coresets for clustering with missing values

Vladimir Braverman , Shaofeng Jiang , Robert Krauthgamer , Xuan Wu
Advances in Neural Information Processing Systems 34 17360 -17372

13
2021