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September
Monday	Tuesday	Wednesday	Thursday	Friday
23	24	25 13:30-14:20 Joint 590S/590Q Presenter: Tom Introduction to Learned Data Structures SIGMOD 2019 Tutorial Part 1 Tutorial Slides EEB 025	26	27
30 15:30-16:20 Joint 590S/590Q Presenter: Tom Introduction to Learned Data Structures SIGMOD 2019 Tutorial Part 2 Tutorial Slides EEB 025	01	02 13:30-14:20 Joint 590S/590Q Sage Presenter: Remy SageDB: A Learned Database System, CIDR’2019 EEB 025	03	04

October
Monday	Tuesday	Wednesday	Thursday	Friday
07 15:30-16:20 Joint 590S/590Q Learned Data Structures Presenters: Ruqian, Lequn The Case For Learned Data Structures FITing Tree: A Data Aware Index Structure Blog arguing for using splines instead of hierarchical models EEB 025	08	09 13:30-14:20 NO CLASS (Meet on Monday instead)	10	11
14 15:30-16:20 590Q SkinnerDB, SIGMOD 2019 Allen Center 291	15	16 13:30-14:20 590S Updating Learned Data Structures Presenters: Travis, Henry, Tianyi ALEX: An Updatable Adaptive Learned Index Pavo: A RNN-Based Learned Inverted Index, Supervised or Unsupervised? EEB 025	17	18
21 15:30-16:20 590Q Neo: A Learned Query Optimizer, VLDB’2019 Hands-Free Query Optimizer through Deep Learning, CIDR’2019 Allen Center 291	22	23 13:30-14:20 590S Updates and More Presenters: Samantha and Alexey Considerations for handling updates in learned index structures Interpolation-friendly B-trees: Bridging the Gap Between Algorithmic and Learned Indexes. EDBT 2019 EEB 025	24	25
28 15:30-16:20 590Q Flexible Operator Embeddings via Deep Learning Database-Agnostic Workload Management. CIDR 2019 Allen Center 291	29	30 13:30-14:20 590S Scheduling Presenters: Ming and Niel Learning Scheduling Algorithms for Data Processing Clusters. SIGCOMM 2019. Lifting the Curse of Multidimensional Data with Learned Existence Indexes. Workshop on ML for Systems at NeurIPS, 2018 EEB 025	31	01

November
Monday	Tuesday	Wednesday	Thursday	Friday
04 15:30-16:20 590Q Presenters: Maureen and Alex AI Meets AI: Index Recommendations, SIGMOD’2019 Allen Center 291	05	06 13:30-14:20 590S Learned Control Flow Presenters: Katie, Yibo Neural Methods for Dynamic Branch Prediction, TOCS 2002 Learning to branch. ICML, 2018 EEB 025	07	08
11 Veteran's Day	12	13 13:30-14:20 Joint 590Q/590S Bloom Filters Presenter: Walter, Matt Meta-Learning Neural Bloom Filters, ICML’2019 A Model for Learned Bloom Filters, NeurIPS, 2018 EEB 025	14	15
18 15:30-16:20 590Q Presenters: Brandon and Cong Learning to Optimize Join Queries With DL Plan-Structured Deep Neural Network Models for Query Performance Prediction, VLDB'2019 Allen Center 291	19	20 13:30-14:20 590S Learning to Stream Presenters: Ashlie and Jialin Neural adaptive video streaming with pensieve. SIGCOMM, 2017 EEB 025	21	22
25 15:30-16:20 590Q Learned Cardinalities, CIDR’2019 Estimating Cardinalities with Deep Sketches, SIGMOD’2019 Allen Center 291	26	27 590S NO CLASS	28 Thanksgiving	29 Fri. after Thanksgiving

December
Monday	Tuesday	Wednesday	Thursday	Friday
02 15:30-16:20 590Q Approximate Query Processing using Deep Models Allen Center 291	03	04 13:30-14:20 590S Learning to Cache Presenters: Kain, Chien-Yu Learning Memory Access Patterns Competitive caching with machine learned advice. ICML, 2018. EEB 025	05	06