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2020 – today
- 2024
[c10]Yossi Azar, Shahar Lewkowicz, Danny Vainstein:
List Update with Delays or Time Windows. ICALP 2024: 15:1-15:20- 2023
- [b1]Danny Vainstein:
Optimization in Matching and Clustering. Tel Aviv University, Israel, 2023 - [c9]Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza:
Tree Learning: Optimal Sample Complexity and Algorithms. AAAI 2023: 6701-6708 - [c8]Yossi Azar, Danny Vainstein:
Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering. ICALP 2023: 13:1-13:18 - [i6]Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza:
Tree Learning: Optimal Algorithms and Sample Complexity. CoRR abs/2302.04492 (2023) - [i5]Yossi Azar, Shahar Lewkowicz, Danny Vainstein:
List Update with Delays or Time Windows. CoRR abs/2304.06565 (2023) - [i4]Yossi Azar, Danny Vainstein:
Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering. CoRR abs/2305.01367 (2023) - 2021
- [c7]Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar:
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. AISTATS 2021: 559-567 - [c6]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: 8799-8809 - [c5]Yossi Azar, Runtian Ren, Danny Vainstein:
The Min-Cost Matching with Concave Delays Problem. SODA 2021: 301-320 - [i3]Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar:
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. CoRR abs/2101.10639 (2021) - 2020
- [j3]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: 103436 (2020) - [j2]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): 14 (2020) - [c4]Noga Alon, Yossi Azar, Danny Vainstein:
Hierarchical Clustering: A 0.585 Revenue Approximation. COLT 2020: 153-162 - [i2]Noga Alon, Yossi Azar, Danny Vainstein:
Hierarchical Clustering: a 0.585 Revenue Approximation. CoRR abs/2006.01933 (2020) - [i1]Yossi Azar, Runtian Ren, Danny Vainstein:
The Min-Cost Matching with Concave Delays Problem. CoRR abs/2011.02017 (2020)
2010 – 2019
- 2019
- [j1]Yossi Azar, Danny Vainstein:
Tight Bounds for Clairvoyant Dynamic Bin Packing. ACM Trans. Parallel Comput. 6(3): 15:1-15:21 (2019) - [c3]Yossi Azar, Yuval Emek, Rob van Stee, Danny Vainstein:
The Price of Clustering in Bin-Packing with Applications to Bin-Packingwith Delays. SPAA 2019: 1-10 - 2017
- [c2]Yehuda Afek, James Aspnes, Edo Cohen, Danny Vainstein:
Brief Announcement: Object Oriented Consensus. PODC 2017: 367-369 - [c1]Yossi Azar, Danny Vainstein:
Tight Bounds for Clairvoyant Dynamic Bin Packing. SPAA 2017: 77-86
Coauthor Index
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