Danny Vainstein

According to our database, Danny Vainstein authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2023

Optimization in Matching and Clustering

Danny Vainstein

PhD thesis, 2023

List Update with Delays or Time Windows.

Yossi Azar, Shahar Lewkowicz, Danny Vainstein

CoRR, 2023

Tree Learning: Optimal Algorithms and Sample Complexity.

Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza

CoRR, 2023

Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering.

Yossi Azar, Danny Vainstein

Proceedings of the 50th International Colloquium on Automata, Languages, and Programming, 2023

Tree Learning: Optimal Sample Complexity and Algorithms.

Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

The Min-Cost Matching with Concave Delays Problem.

Yossi Azar, Runtian Ren, Danny Vainstein

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees.

Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile

Proceedings of the 38th International Conference on Machine Learning, 2021

Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering.

Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Customization scenarios for de-identification of clinical notes.

Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira, Genady Beryozkin, Idan Szpektor, Yossi Matias

BMC Medical Informatics Decis. Mak., 2020

Active deep learning to detect demographic traits in free-form clinical notes.

Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias

J. Biomed. Informatics, 2020

Hierarchical Clustering: A 0.585 Revenue Approximation.

Noga Alon, Yossi Azar, Danny Vainstein

Proceedings of the Conference on Learning Theory, 2020

2019

Tight Bounds for Clairvoyant Dynamic Bin Packing.

Yossi Azar, Danny Vainstein

ACM Trans. Parallel Comput., 2019

The Price of Clustering in Bin-Packing with Applications to Bin-Packingwith Delays.

Yossi Azar, Yuval Emek, Rob van Stee, Danny Vainstein

Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019

2017

Brief Announcement: Object Oriented Consensus.

Yehuda Afek, James Aspnes, Edo Cohen, Danny Vainstein

Proceedings of the ACM Symposium on Principles of Distributed Computing, 2017