Rana Shahout

36 papers A* 2A 3B 5Misc 2Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Orla: A Library for Serving LLM-Based Multi-Agent Systems.
CoRR
Rana Shahout, Hayder Tirmazi, Minlan Yu, Michael Mitzenmacher
2026 J jnl
Predictive Scheduling for Efficient Inference-Time Reasoning in Large Language Models.
CoRR
Katrina Brown, Aneesh Muppidi, Rana Shahout
2025 J jnl
Distributed Recoverable Sketches (Extended Version).
CoRR
Diana Cohen, Roy Friedman, Rana Shahout
2025 A* conf
Don't stop me Now: Embedding based Scheduling for LLMS.
ICLR
Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, Michael Mitzenmacher
2025 J jnl
From Score Distributions to Balance: Plug-and-Play Mixture-of-Experts Routing.
CoRR
Rana Shahout, Colin Cai, Yilun Du, Minlan Yu, Michael Mitzenmacher
2025 — conf
Geometric Sketch: The Inflatable-Shrinkable Sketch.
AINA (2)
Dvir Biton, Roy Friedman, Rana Shahout
2025 J jnl
Intra-request branch orchestration for efficient LLM reasoning.
CoRR
Weifan Jiang, Rana Shahout, Yilun Du, Michael Mitzenmacher, Minlan Yu
2025 A conf
Palimpzest: Optimizing AI-Powered Analytics with Declarative Query Processing.
CIDR
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
2025 J jnl
Queueing, Predictions, and LLMs: Challenges and Open Problems.
CoRR
Michael Mitzenmacher, Rana Shahout
2024 B conf
Distributed Recoverable Sketches.
OPODIS
Diana Cohen, Roy Friedman, Rana Shahout
2024 J jnl
Don't Stop Me Now: Embedding Based Scheduling for LLMs.
CoRR
Rana Shahout, Eran Malach, Chunwei Liu, Weifan Jiang, Minlan Yu, Michael Mitzenmacher
2024 J jnl
Fast Inference for Augmented Large Language Models.
CoRR
Rana Shahout, Cong Liang, Shiji Xin, Qianru Lao, Yong Cui, Minlan Yu, Michael Mitzenmacher
2024 J jnl
Federated Learning Clients Clustering with Adaptation to Data Drifts.
CoRR
Minghao Li, Dmitrii Avdiukhin, Rana Shahout, Nikita Ivkin, Vladimir Braverman, Minlan Yu
2024 J jnl
From Logs to Causal Inference: Diagnosing Large Systems.
Proc. VLDB Endow.
Markos Markakis, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024 B conf
Learning-Augmented Frequency Estimation in Sliding Windows.
ICNP
Rana Shahout, Ibrahim Sabek, Michael Mitzenmacher
2024 J jnl
Learning-Augmented Frequency Estimation in Sliding Windows.
CoRR
Rana Shahout, Ibrahim Sabek, Michael Mitzenmacher
2024 B conf
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams.
ICNP
Rana Shahout, Michael Mitzenmacher
2024 J jnl
Learning-Based Heavy Hitters and Flow Frequency Estimation in Streams.
CoRR
Rana Shahout, Michael Mitzenmacher
2024 — conf
Press ECCS to Doubt (Your Causal Graph).
GUIDE-AI@SIGMOD
Markos Markakis, Ziyu Zhang, Rana Shahout, Trinity Gao, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024 — conf
Sawmill: From Logs to Causal Diagnosis of Large Systems.
SIGMOD Conference Companion
Markos Markakis, An Bo Chen, Brit Youngmann, Trinity Gao, Ziyu Zhang, Rana Shahout, Peter Baile Chen, Chunwei Liu, Ibrahim Sabek, Michael J. Cafarella
2024 A* conf
SkipPredict: When to Invest in Predictions for Scheduling.
NeurIPS
Rana Shahout, Michael Mitzenmacher
2024 J jnl
SkipPredict: When to Invest in Predictions for Scheduling.
CoRR
Rana Shahout, Michael Mitzenmacher
2023 A conf
Interface Design to Mitigate Inflation in Recommender Systems.
RecSys
Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov, Nikhil Garg
2023 J jnl
Interface Design to Mitigate Inflation in Recommender Systems.
CoRR
Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov, Nikhil Garg
2023 B conf
Sketching the Path to Efficiency: Lightweight Learned Cache Replacement.
OPODIS
Rana Shahout, Roy Friedman
2023 J jnl
Together is Better: Heavy Hitters Quantile Estimation.
Proc. ACM Manag. Data
Rana Shahout, Roy Friedman, Ran Ben Basat
2022 J jnl
Box queries over multi-dimensional streams.
Inf. Syst.
Roy Friedman, Rana Shahout
2022 J jnl
SQUAD: Combining Sketching and Sampling Is Better than Either for Per-item Quantile Estimation.
CoRR
Rana Shahout, Roy Friedman, Ran Ben Basat
2022 Misc conf
SQUAD: combining sketching and sampling is better than either for per-item quantile estimation.
SYSTOR
Rana Shahout, Roy Friedman, Ran Ben Basat
2021 — conf
Box queries over multi-dimensional streams.
DEBS
Roy Friedman, Rana Shahout
2021 B conf
CELL: Counter Estimation for Per-flow Traffic in Streams and Sliding Windows.
ICNP
Rana Shahout, Roy Friedman, Dolev Adas
2021 Misc conf
CELL: counter estimation for per-flow traffic over sliding windows.
SYSTOR
Rana Shahout, Dolev Adas, Roy Friedman
2020 A conf
EvenDB: optimizing key-value storage for spatial locality.
EuroSys
Eran Gilad, Edward Bortnikov, Anastasia Braginsky, Yonatan Gottesman, Eshcar Hillel, Idit Keidar, Nurit Moscovici, Rana Shahout
2018 — conf
Frequent elements on query defined ranges.
INFOCOM Workshops
Ran Ben-Basat, Rana Shahout, Roy Friedman
2018 J jnl
Heavy Hitters over Interval Queries.
CoRR
Ran Ben-Basat, Roy Friedman, Rana Shahout
2018 J jnl
Stream Frequency Over Interval Queries.
Proc. VLDB Endow.
Ran Ben-Basat, Roy Friedman, Rana Shahout