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cs.DBcs.LGstat.MLcs.AIcs.DCcs.PLcs.CRcs.SE

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published · living versions
W_uh8vu2ur·v1 · currentpublished
Correctness Firewalls for Synthesized Database Components
with Mohammad Javad Amiri, Carsten Binnig, Andreas Kipf, Tim Kraska +4
1 version

Preprints & journals

41 papers in the corpus · 2016–2026
The Case for Synthesized Data Compression2610.09913v1 · Ivan Iachnyk, Mihail Stoian, Luisa Neubauer et al.2026 · 0 citationsarXiv
EXPLAIN Yourself! Finding Query Planner Stalls Across DBMSes2608.23402v1 · Geoffrey X. Yu, Ryan Marcus, Tim Kraska2026 · 0 citationsarXiv
AutoPilot: Learning to Steer High Speed Robust BFT2606.09120v1 · Liangrong Chen, Yue Zhang, Eric Zhou et al.2026 · 0 citationsarXiv
Tailwind: A Practical Framework for Query Accelerators2604.28079v2 · Geoffrey X. Yu, Ryan Marcus, Tim Kraska2026 · 0 citationsarXiv
Adversarial Query Synthesis via Bayesian Optimization2603.01570v1 · Jeffrey Tao, Yimeng Zeng, Haydn Thomas Jones et al.2026 · 0 citationsarXiv
Is it Bigger than a Breadbox: Efficient Cardinality Estimation for Real World Workloads2510.03386v1 · Zixuan Yi, Sami Abu-el-Haija, Yawen Wang et al.2025 · 0 citationsarXiv
SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer2508.17556v1 · Hanwen Liu, Qihan Zhang, Ryan Marcus et al.2025 · 3 citationsarXiv
Data-Agnostic Cardinality Learning from Imperfect Workloads2506.16007v1 · Peizhi Wu, Rong Kang, Tieying Zhang et al.2025 · 2 citationsarXiv
Low Rank Learning for Offline Query Optimization2504.06399v1 · Zixuan Yi, Yao Tian, Zachary G. Ives et al.2025 · 4 citationsarXiv
Large Scale Multi-Task Bayesian Optimization with Large Language Models2503.08131v2 · Yimeng Zeng, Natalie Maus, Haydn Thomas Jones et al.2025 · 0 citationsarXiv
Learned Offline Query Planning via Bayesian Optimization2502.05256v1 · Jeffrey Tao, Natalie Maus, Haydn Jones et al.2025 · 5 citationsarXiv
The Unreasonable Effectiveness of LLMs for Query Optimization2411.02862v1 · Peter Akioyamen, Zixuan Yi, Ryan Marcus2024 · 2 citationsarXiv
A Practical Theory of Generalization in Selectivity Learning2409.07014v3 · Peizhi Wu, Haoshu Xu, Ryan Marcus et al.2024 · 1 citationarXiv
BFTBrain: Adaptive BFT Consensus with Reinforcement Learning2408.06432v1 · Chenyuan Wu, Haoyun Qin, Mohammad Javad Amiri et al.2024 · 1 citationarXiv
Stage: Query Execution Time Prediction in Amazon Redshift2403.02286v1 · Ziniu Wu, Ryan Marcus, Zhengchun Liu et al.2024 · 30 citationsarXiv
Adding Domain Knowledge to Query-Driven Learned Databases2312.01025v1 · Peizhi Wu, Ryan Marcus, Zachary G. Ives2023 · 0 citationsarXiv
Kepler: Robust Learning for Faster Parametric Query Optimization2306.06798v2 · Lyric Doshi, Vincent Zhuang, Gaurav Jain et al.2023 · 36 citationsarXiv
Learned Query Superoptimization2303.15308v2 · Ryan Marcus2023 · 1 citationarXiv
AdaChain: A Learned Adaptive Blockchain2211.01580v2 · Chenyuan Wu, Bhavana Mehta, Mohammad Javad Amiri et al.2022 · 24 citationsarXiv
LSI: A Learned Secondary Index Structure2205.05769v1 · Andreas Kipf, Dominik Horn, Pascal Pfeil et al.2022 · 1 citationarXiv
Towards Practical Learned Indexing2108.05117v2 · Mihail Stoian, Andreas Kipf, Ryan Marcus et al.2021 · 1 citationarXiv
LEA: A Learned Encoding Advisor for Column Stores2105.08830v1 · Lujing Cen, Andreas Kipf, Ryan Marcus et al.2021 · 9 citationsarXiv
Flow-Loss: Learning Cardinality Estimates That Matter2101.04964v1 · Parimarjan Negi, Ryan Marcus, Andreas Kipf et al.2021 · 10 citationsarXiv
A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification2010.05995v2 · Min Du, Nesime Tatbul, Brian Rivers et al.2020 · 5 citationsarXiv
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning2007.10568v3 · Chi Zhang, Ryan Marcus, Anat Kleiman et al.2020 · 11 citationsAIDB@VLDB 2020 Proceedings of the 2nd International Workshop on Applied AI for Database Systems and Applications
Benchmarking Learned Indexes2006.12804v2 · Ryan Marcus, Andreas Kipf, Alexander van Renen et al.2020 · 153 citationsarXiv
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure2006.05265v6 · Fangke Ye, Shengtian Zhou, Anand Venkat et al.2020 · 5 citationsarXiv
RadixSpline: A Single-Pass Learned Index2004.14541v2 · Andreas Kipf, Ryan Marcus, Alexander van Renen et al.2020 · 29 citationsarXiv
Learned Garbage Collection2004.13301v1 · Lujing Cen, Ryan Marcus, Hongzi Mao et al.2020 · 10 citationsarXiv
Bao: Learning to Steer Query Optimizers2004.03814v1 · Ryan Marcus, Parimarjan Negi, Hongzi Mao et al.2020 · 247 citationsarXiv
Context-Aware Parse Trees2003.11118v1 · Fangke Ye, Shengtian Zhou, Anand Venkat et al.2020 · 2 citationsarXiv
ARDA: Automatic Relational Data Augmentation for Machine Learning2003.09758v1 · Nadiia Chepurko, Ryan Marcus, Emanuel Zgraggen et al.2020 · 4 citationsarXiv
Neo: A Learned Query Optimizer1904.03711v1 · Ryan Marcus, Parimarjan Negi, Hongzi Mao et al.2019 · 398 citationsarXiv
Plan-Structured Deep Neural Network Models for Query Performance Prediction1902.00132v1 · Ryan Marcus, Olga Papaemmanouil2019 · 164 citationsarXiv
Flexible Operator Embeddings via Deep Learning1901.09090v2 · Ryan Marcus, Olga Papaemmanouil2019 · 2 citationsarXiv
Towards a Hands-Free Query Optimizer through Deep Learning1809.10212v2 · Ryan Marcus, Olga Papaemmanouil2018 · 53 citations9th Biennial Conference on Innovative Data Systems Research, 2019
Deep Reinforcement Learning for Join Order Enumeration1803.00055v2 · Ryan Marcus, Olga Papaemmanouil2018 · 228 citationsaiDM@SIGMOD 2018 Proceedings of the First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management
WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases1601.08221v3 · Ryan Marcus, Olga Papaemmanouil2016 · 50 citationsProceedings of the VLDB Endowment Volume 9 Issue 10, June 2016
Career total: 112 works. 41 are in this corpus.

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