| 2024 | ICALP | List Update with Delays or Time Windows. | Yossi Azar, Shahar Lewkowicz, Danny Vainstein |
| 2023 | AAAI | Tree Learning: Optimal Sample Complexity and Algorithms. | Dmitrii Avdiukhin, Grigory Yaroslavtsev, Danny Vainstein, Orr Fischer, Sauman Das, Faraz Mirza |
| 2023 | ICALP | Multi Layer Peeling for Linear Arrangement and Hierarchical Clustering. | Yossi Azar, Danny Vainstein |
| 2021 | AISTATS | Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering. | Danny Vainstein, Vaggos Chatziafratis, Gui Citovsky, Anand Rajagopalan, Mohammad Mahdian, Yossi Azar |
| 2021 | ICML | Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees. | Anand Rajagopalan, Fabio Vitale, Danny Vainstein, Gui Citovsky, Cecilia M. Procopiuc, Claudio Gentile |
| 2021 | SODA | The Min-Cost Matching with Concave Delays Problem. | Yossi Azar, Runtian Ren, Danny Vainstein |
| 2020 | COLT | Hierarchical Clustering: A 0.585 Revenue Approximation. | Noga Alon, Yossi Azar, Danny Vainstein |
| 2019 | SPAA | The Price of Clustering in Bin-Packing with Applications to Bin-Packingwith Delays. | Yossi Azar, Yuval Emek, Rob van Stee, Danny Vainstein |
| 2017 | PODC | Brief Announcement: Object Oriented Consensus. | Yehuda Afek, James Aspnes, Edo Cohen, Danny Vainstein |
| 2017 | SPAA | Tight Bounds for Clairvoyant Dynamic Bin Packing. | Yossi Azar, Danny Vainstein |