Rana Shahout

According to our database, Rana Shahout authored at least 31 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SVR-MAD: A Bayesian-Inspired Framework for Posterior-Guided Multi-Agent Debate.

Weifan Jiang, Rana Shahout, Minghao Li, Zhenting Qi, Yilun Du, Michael Mitzenmacher, Minlan Yu

CoRR, May, 2026

PALS: Power-Aware LLM Serving for Mixture-of-Experts Models.

Can Hankendi, Rana Shahout, Minlan Yu, Ayse K. Coskun

CoRR, May, 2026

Predictive Scheduling for Efficient Inference-Time Reasoning in Large Language Models.

Katrina Brown, Aneesh Muppidi, Rana Shahout

CoRR, February, 2026

Orla: A Library for Serving LLM-Based Multi-Agent Systems.

Rana Shahout, Hayder Tirmazi, Minlan Yu, Michael Mitzenmacher

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

Distributed Recoverable Sketches (Extended Version).

Diana Cohen, Roy Friedman, Rana Shahout

CoRR, November, 2025

From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts Routing.

Rana Shahout, Colin Cai, Yilun Du, Minlan Yu, Michael Mitzenmacher

CoRR, October, 2025

Intra-request branch orchestration for efficient LLM reasoning.

Weifan Jiang, Rana Shahout, Yilun Du, Michael Mitzenmacher, Minlan Yu

CoRR, September, 2025

Queueing, Predictions, and LLMs: Challenges and Open Problems.

Michael Mitzenmacher, Rana Shahout

CoRR, March, 2025

Don't stop me Now: Embedding based Scheduling for LLMS.

Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, Michael Mitzenmacher

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing.

Chunwei Liu, Matthew Russo, Michael J. Cafarella, Lei Cao, Peter Baile Chen, Zui Chen, Michael J. Franklin, Tim Kraska, Samuel Madden, Rana Shahout, Gerardo Vitagliano

Proceedings of the 15th Conference on Innovative Data Systems Research, 2025

Geometric Sketch: The Inflatable-Shrinkable Sketch.

Dvir Biton, Roy Friedman, Rana Shahout

Proceedings of the Advanced Information Networking and Applications, 2025

2024

From Logs to Causal Inference: Diagnosing Large Systems.

Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella

Proc. VLDB Endow., October, 2024

Federated Learning Clients Clustering with Adaptation to Data Drifts.

Minghao Li, Dmitrii Avdiukhin, Rana Shahout, Nikita Ivkin, Vladimir Braverman, Minlan Yu

CoRR, 2024

Fast Inference for Augmented Large Language Models.

Rana Shahout, Cong Liang, Shiji Xin, Qianru Lao, Yong Cui, Minlan Yu, Michael Mitzenmacher

CoRR, 2024

Sawmill: From Logs to Causal Diagnosis of Large Systems.

Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Distributed Recoverable Sketches.

Diana Cohen, Roy Friedman, Rana Shahout

Proceedings of the 28th International Conference on Principles of Distributed Systems, 2024

SkipPredict: When to Invest in Predictions for Scheduling.

Rana Shahout, Michael Mitzenmacher

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning-Augmented Frequency Estimation in Sliding Windows.

Rana Shahout, Ibrahim Sabek, Michael Mitzenmacher

Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams.

Rana Shahout, Michael Mitzenmacher

Proceedings of the 32nd IEEE International Conference on Network Protocols, 2024

Press ECCS to Doubt (Your Causal Graph).

Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella

Proceedings of the Conference on Governance, 2024

2023

Together is Better: Heavy Hitters Quantile Estimation.

Rana Shahout, Roy Friedman, Ran Ben Basat

Proc. ACM Manag. Data, 2023

Interface Design to Mitigate Inflation in Recommender Systems.

Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov, Nikhil Garg

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Sketching the Path to Efficiency: Lightweight Learned Cache Replacement.

Rana Shahout, Roy Friedman

Proceedings of the 27th International Conference on Principles of Distributed Systems, 2023

2022

SQUAD: combining sketching and sampling is better than either for per-item quantile estimation.

Rana Shahout, Roy Friedman, Ran Ben Basat

Proceedings of the SYSTOR '22: The 15th ACM International Systems and Storage Conference, Haifa, Israel, June 13, 2022

2021

CELL: counter estimation for per-flow traffic over sliding windows.

Rana Shahout, Dolev Adas, Roy Friedman

Proceedings of the SYSTOR '21: The 14th ACM International Systems and Storage Conference, 2021

CELL: Counter Estimation for Per-flow Traffic in Streams and Sliding Windows.

Rana Shahout, Roy Friedman, Dolev Adas

Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

Box queries over multi-dimensional streams.

Roy Friedman, Rana Shahout

Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, 2021

2020

EvenDB: optimizing key-value storage for spatial locality.

Eran Gilad, Edward Bortnikov, Anastasia Braginsky, Yonatan Gottesman, Eshcar Hillel, Idit Keidar, Nurit Moscovici, Rana Shahout

Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

2018

Stream Frequency Over Interval Queries.

Ran Ben-Basat, Roy Friedman, Rana Shahout

Proc. VLDB Endow., 2018

Heavy Hitters over Interval Queries.

Ran Ben-Basat, Roy Friedman, Rana Shahout

CoRR, 2018

Frequent elements on query defined ranges.

Ran Ben-Basat, Rana Shahout, Roy Friedman

Proceedings of the IEEE INFOCOM 2018, 2018