| EvenDB: Optimizing key-value storage for spatial locality E Gilad, E Bortnikov, A Braginsky, Y Gottesman, E Hillel, I Keidar, ... Proceedings of the Fifteenth European Conference on Computer Systems, 1-16, 2020 | 38 | 2020 |
| Stream frequency over interval queries RB Basat, R Friedman, R Shahout Proceedings of the VLDB Endowment 12 (4), 433-445, 2018 | 20 | 2018 |
| SQUAD: Combining sketching and sampling is better than either for per-item quantile estimation R Shahout, R Friedman, RB Basat arXiv preprint arXiv:2201.01958, 2022 | 7 | 2022 |
| Together is better: Heavy hitters quantile estimation R Shahout, R Friedman, R Ben Basat Proceedings of the ACM on Management of Data 1 (1), 1-25, 2023 | 6 | 2023 |
| Cell: counter estimation for per-flow traffic in streams and sliding windows R Shahout, R Friedman, D Adas 2021 IEEE 29th International Conference on Network Protocols (ICNP), 1-12, 2021 | 6 | 2021 |
| Heavy hitters over interval queries RB Basat, R Friedman, R Shahout arXiv preprint arXiv:1804.10740, 2018 | 4 | 2018 |
| Fast inference for augmented large language models R Shahout, C Liang, S Xin, Q Lao, Y Cui, M Yu, M Mitzenmacher arXiv preprint arXiv:2410.18248, 2024 | 2 | 2024 |
| Don't Stop Me Now: Embedding Based Scheduling for LLMs R Shahout, E Malach, C Liu, W Jiang, M Yu, M Mitzenmacher arXiv preprint arXiv:2410.01035, 2024 | 2 | 2024 |
| Box queries over multi-dimensional streams R Friedman, R Shahout Proceedings of the 15th ACM International Conference on Distributed and …, 2021 | 2 | 2021 |
| Learning-based heavy hitters and flow frequency estimation in streams R Shahout, M Mitzenmacher 2024 IEEE 32nd International Conference on Network Protocols (ICNP), 1-13, 2024 | 1 | 2024 |
| Press ECCS to Doubt (Your Causal Graph) M Markakis, Z Zhang, R Shahout, T Gao, C Liu, I Sabek, M Cafarella Proceedings of the Conference on Governance, Understanding and Integration …, 2024 | 1 | 2024 |
| SkipPredict: When to Invest in Predictions for Scheduling R Shahout, M Mitzenmacher arXiv preprint arXiv:2402.03564, 2024 | 1 | 2024 |
| Interface design to mitigate inflation in recommender systems R Shahout, Y Peisakhovsky, S Stoikov, N Garg Proceedings of the 17th ACM Conference on Recommender Systems, 897-903, 2023 | 1 | 2023 |
| Frequent elements on query defined ranges RB Basat, R Shahout, R Friedman IEEE INFOCOM 2018-IEEE Conference on Computer Communications Workshops …, 2018 | 1 | 2018 |
| Heavy hitters over interval queries R Ben Basat, R Friedman, R Shahout arXiv e-prints, arXiv: 1804.10740, 2018 | 1 | 2018 |
| Distributed Recoverable Sketches D Cohen, R Friedman, R Shahout 28th International Conference on Principles of Distributed Systems (OPODIS …, 2025 | | 2025 |
| Federated Learning Clients Clustering with Adaptation to Data Drifts M Li, D Avdiukhin, R Shahout, N Ivkin, V Braverman, M Yu arXiv preprint arXiv:2411.01580, 2024 | | 2024 |
| Learning-Augmented Frequency Estimation in Sliding Windows R Shahout, I Sabek, M Mitzenmacher 2024 IEEE 32nd International Conference on Network Protocols (ICNP), 1-6, 2024 | | 2024 |
| Efficient Inference for Augmented Large Language Models R Shahout, C Liang, S Xin, Q Lao, Y Cui, M Yu, M Mitzenmacher arXiv e-prints, arXiv: 2410.18248, 2024 | | 2024 |
| Sawmill: From Logs to Causal Diagnosis of Large Systems. M Markakis, AB Chen, B Youngmann, T Gao, Z Zhang, R Shahout, ... SIGMOD Conference Companion, 444-447, 2024 | | 2024 |