Danny Vainstein

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Correlation Clustering

Top Venues

Publications

Yossi Azar, Shahar Lewkowicz, Danny Vainstein
List Update with Delays or Time Windows. ICALP (2024)
Yossi Azar, Shahar Lewkowicz, Danny Vainstein
List Update with Delays or Time Windows. CoRR (2023)
Yossi Azar, Danny Vainstein
Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering. CoRR (2023)
Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza
Tree Learning: Optimal Sample Complexity and Algorithms. AAAI (2023)
Yossi Azar, Danny Vainstein
Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering. ICALP (2023)
Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza
Tree Learning: Optimal Algorithms and Sample Complexity. CoRR (2023)
Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees. ICML (2021)
Yossi Azar, Runtian Ren, Danny Vainstein
The Min-Cost Matching with Concave Delays Problem. SODA (2021)
Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. CoRR (2021)
Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. AISTATS (2021)
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
Customization scenarios for de-identification of clinical notes. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Noga Alon, Yossi Azar, Danny Vainstein
Hierarchical Clustering: A 0.585 Revenue Approximation. COLT (2020)
Yossi Azar, Runtian Ren, Danny Vainstein
The Min-Cost Matching with Concave Delays Problem. CoRR (2020)
Noga Alon, Yossi Azar, Danny Vainstein
Hierarchical Clustering: a 0.585 Revenue Approximation. CoRR (2020)
Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics 107 (2020)
Yossi Azar, Yuval Emek, Rob van Stee, Danny Vainstein
The Price of Clustering in Bin-Packing with Applications to Bin-Packingwith Delays. SPAA (2019)
Yossi Azar, Danny Vainstein
Tight Bounds for Clairvoyant Dynamic Bin Packing. ACM Trans. Parallel Comput. 6 (3) (2019)
Yehuda Afek, James Aspnes, Edo Cohen, Danny Vainstein
Brief Announcement: Object Oriented Consensus. PODC (2017)
Yossi Azar, Danny Vainstein
Tight Bounds for Clairvoyant Dynamic Bin Packing. SPAA (2017)