ThalamusDB: Approximate Query Processing on Multi-Modal Data.
Proc. ACM Manag. Data, 2024
SMART: Automatically Scaling Down Language Models with Accuracy Guarantees for Reduced Processing Fees.
CoRR, 2024
Demonstration of ThalamusDB: Answering Complex SQL Queries with Natural Language Predicates on Multi-Modal Data.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning.
ACM Trans. Database Syst., 2021
Demonstration of ScroogeDB: Getting More Bang For the Buck with Deterministic Approximation in the Cloud.
Proc. VLDB Endow., 2020
Demonstration of BitGourmet: Data Analysis via Deterministic Approximation.
Proceedings of the 2020 International Conference on Management of Data, 2020
BitGourmet: Deterministic Approximation via Optimized Bit Selection.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020
Mining an "Anti-Knowledge Base" from Wikipedia Updates with Applications to Fact Checking and Beyond.
Proc. VLDB Endow., 2019
AggChecker: A Fact-Checking System for Text Summaries of Relational Data Sets.
Proc. VLDB Endow., 2019
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
Proceedings of the 2019 International Conference on Management of Data, 2019
Verifying Text Summaries of Relational Data Sets.
Proceedings of the 2019 International Conference on Management of Data, 2019
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.
Proc. VLDB Endow., 2018
The FactChecker: Verifying Text Summaries of Relational Data Sets.
CoRR, 2018
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018
Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017