Ryan Marcus
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
7
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CIDR | Survivorship Bias in Industrial Database Workloads. | Ryan Marcus, Jeffrey Tao, Peizhi Wu, Zijie Zhao |
| 2025 | NSDI | BFTBrain: Adaptive BFT Consensus with Reinforcement Learning. | Chenyuan Wu, Haoyun Qin, Mohammad Javad Amiri, Boon Thau Loo, Dahlia Malkhi, Ryan Marcus |
| 2025 | SIGMOD | ScaleLLM: A Technique for Scalable LLM-augmented Data Systems. | Ashwin Alaparthi, Paul Loh, Ryan Marcus |
| 2025 | SIGMOD | Eighth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM). | Renata Borovica-Gajic, Manisha Luthra, Ryan Marcus, Rajesh Bordawekar, Oded Shmueli |
| 2025 | VLDB | Exploring Wavelet Trees as Space-Efficient Physical-to-Sorted Mapping for Learned Indexes. | Anwesha Saha, Aneesh Raman, Ryan Marcus, Manos Athanassoulis |
| 2024 | SIGMOD | Stage: Query Execution Time Prediction in Amazon Redshift. | Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska |
| 2023 | SIGMOD | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift. | Gaurav Saxena, Mohammad Rahman, Naresh Chainani, Chunbin Lin, George Caragea, Fahim Chowdhury, Ryan Marcus, Tim Kraska, Ippokratis Pandis, Balakrishnan (Murali) Narayanaswamy |
| 2023 | VLDB | Learned Query Superoptimization. | Ryan Marcus |
| 2023 | VLDB | Towards Adaptive Fault-Tolerant Sharded Databases. | Bhavana Mehta, Neelesh C. A, Prashanth S. Iyer, Mohammad Javad Amiri, Boon Thau Loo, Ryan Marcus |
| 2022 | SIGMOD | aiDM'22: Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management. | Rajesh Bordawekar, Yael Amsterdamer, Donatella Firmani, Ryan Marcus, Oded Shmueli |
| 2022 | SIGMOD | LSI: a learned secondary index structure. | Andreas Kipf, Dominik Horn, Pascal Pfeil, Ryan Marcus, Tim Kraska |
| 2021 | ICDE | Towards a Benchmark for Learned Systems. | Laurent Bindschaedler, Andreas Kipf, Tim Kraska, Ryan Marcus, Umar Farooq Minhas |
| 2021 | SIGMOD | LEA: A Learned Encoding Advisor for Column Stores. | Lujing Cen, Andreas Kipf, Ryan Marcus, Tim Kraska |
| 2021 | SIGMOD | Bao: Making Learned Query Optimization Practical. | Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, Tim Kraska |
| 2021 | SIGMOD | Steering Query Optimizers: A Practical Take on Big Data Workloads. | Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc T. Friedman, Alekh Jindal |
| 2020 | DCC | Low Rate Compression of Video with Dynamic Backgrounds. | Solomon Garber, Ryan Marcus, Antonella DiLillo, James A. Storer |
| 2020 | ICDE | Cost-Guided Cardinality Estimation: Focus Where it Matters. | Parimarjan Negi, Ryan Marcus, Hongzi Mao, Nesime Tatbul, Tim Kraska, Mohammad Alizadeh |
| 2020 | PLDI | Learned garbage collection. | Lujing Cen, Ryan Marcus, Hongzi Mao, Justin Gottschlich, Mohammad Alizadeh, Tim Kraska |
| 2020 | SIGMOD | RadixSpline: a single-pass learned index. | Andreas Kipf, Ryan Marcus, Alexander van Renen, Mihail Stoian, Alfons Kemper, Tim Kraska, Thomas Neumann |
| 2020 | SIGMOD | CDFShop: Exploring and Optimizing Learned Index Structures. | Ryan Marcus, Emily Zhang, Tim Kraska |
| 2020 | VLDB | Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning. | Chi Zhang, Ryan Marcus, Anat Kleiman, Olga Papaemmanouil |
| 2019 | CIDR | Towards a Hands-Free Query Optimizer through Deep Learning. | Ryan Marcus, Olga Papaemmanouil |
| 2019 | DCC | Compact Representations of Dynamic Video Background Using Motion Sprites. | Solomon Garber, Aaditya Prakash, Ryan Marcus, Antonella DiLillo, James A. Storer |
| 2019 | SIGMOD | AI Meets AI: Leveraging Query Executions to Improve Index Recommendations. | Bailu Ding, Sudipto Das, Ryan Marcus, Wentao Wu, Surajit Chaudhuri, Vivek R. Narasayya |
| 2018 | SIGMOD | Deep Reinforcement Learning for Join Order Enumeration. | Ryan Marcus, Olga Papaemmanouil |
| 2018 | SIGMOD | NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning. | Ryan Marcus, Olga Papaemmanouil, Sofiya Semenova, Solomon Garber |
| 2017 | CIDR | Releasing Cloud Databases for the Chains of Performance Prediction Models. | Ryan Marcus, Olga Papaemmanouil |
| 2017 | ICDE | A Learning-Based Service for Cost and Performance Management of Cloud Databases. | Ryan Marcus, Sofiya Semenova, Olga Papaemmanouil |
| 2016 | ICDE | Workload management for cloud databases via machine learning. | Ryan Marcus, Olga Papaemmanouil |