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(Mondays @ 3:30 in DB lab, CSE 291 (Allen Center), unless noted otherwise) Topic: Learned Database Systems | | | | | | |
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Date | Time/Room | Presenter(s) | Paper(s) | Other notes |
9/25/2019 | 1:30, ECE025 | Tom | SIGMOD'19 tutorial part 1 | better slides | joint w 590s | |
9/30/2019 | 3:30, ECE025 | Tom | SIGMOD'19 tutorial part 2 | | joint w 590s | |
10/2/2019 | 1:30, ECE025 | Remy | SageDB: A Learned Database System, CIDR’2019 | | joint w 590s | |
10/7/2019 | 3:30, ECE025 | Ruqian, Lequn | The Case for Learned Index Structures, SIGMOD’2018 | FITing-Tree: A Data-aware Index Structure, SIGMOD’2019 | joint w 590s | see also Neumann's blog |
10/14/2019 | 3:30, AC291 | Cong | SkinnerDB, SIGMOD’2019 | | | |
10/21/2019 | 3:30, AC291 | Jonathan & Kang | Neo: A Learned Query Optimizer, VLDB’2019 | Hands-Free Query Optimizer through Deep Learning, CIDR’2019 | | |
10/28/2019 | 3:30, AC291 | Shrainik Jain | Flexible Operator Embeddings via Deep Learning | Database-Agnostic Workload Management. CIDR 2019 | | |
11/4/2019 | 3:30, AC291 | Maureen & Alex | AI Meets AI: Index Recommendations, SIGMOD’2019 | | | |
11/11/2019 | 3:30, AC291 | | Veterans' Day (no classes) | | | |
11/13/2019 | 1:30, ECE025 | Walter & Matt | A Model for Learned Bloom Filters, NeurIPS, 2018 | Meta-Learning Neural Bloom Filters, ICML’2019 | joint w 590s | |
11/18/2019 | 3:30, AC291 | Moe | Learning to Optimize Join Queries With DL | Plan-Structured Deep Neural Network Models for Query Performance Prediction, VLDB'2019 | | |
11/25/2019 | 3:30, AC291 | Jack & | Learned Cardinalities, CIDR’2019 | Estimating Cardinalities with Deep Sketches, SIGMOD’2019 | see also | |
12/2/2019 | 3:30, AC291 | | Approximate Query Processing using Deep Models | CANCELED | | |
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Notes | | | | | | |
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