
Machine Learning over Static and Dynamic Relational Data
This tutorial overviews principles behind recent works on training and m...
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The Complexity of Boolean Conjunctive Queries with Intersection Joins
Intersection joins over interval data are relevant in spatial and tempor...
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Functional Collection Programming with SemiRing Dictionaries
This paper introduces semiring dictionaries, a powerful class of compos...
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LMFAO: An Engine for Batches of GroupBy Aggregates
LMFAO is an inmemory optimization and execution engine for large batche...
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The Relational Data Borg is Learning
This paper overviews an approach that addresses machine learning over re...
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FIVM: Learning over FastEvolving Relational Data
FIVM is a system for realtime analytics such as machine learning appli...
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Maintaining Triangle Queries under Updates
We consider the problem of incrementally maintaining the triangle querie...
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Multilayer Optimizations for EndtoEnd Data Analytics
We consider the problem of training machine learning models over multir...
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Towards Deterministic Decomposable Circuits for Safe Queries
There exist two approaches for exact probabilistic inference of UCQs on ...
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Learning Models over Relational Data: A Brief Tutorial
This tutorial overviews the state of the art in learning models over rel...
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Rkmeans: Fast Clustering for Relational Data
Conventional machine learning algorithms cannot be applied until a data ...
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Tradeoffs in Static and Dynamic Evaluation of Hierarchical Queries
We investigate tradeoffs in static and dynamic evaluation of hierarchic...
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A Layered Aggregate Engine for Analytics Workloads
This paper introduces LMFAO (Layered Multiple Functional Aggregate Optim...
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Incremental Techniques for LargeScale Dynamic Query Processing
Many applications from various disciplines are now required to analyze f...
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On Functional Aggregate Queries with Additive Inequalities
Motivated by fundamental applications in databases and relational machin...
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Counting Triangles under Updates in WorstCase Optimal Time
We consider the problem of incrementally maintaining the triangle count ...
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AC/DC: InDatabase Learning Thunderstruck
We report on the design and implementation of the AC/DC gradient descent...
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Boolean Tensor Decomposition for Conjunctive Queries with Negation
We propose an algorithm for answering conjunctive queries with negation,...
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Covers of Query Results
We introduce succinct lossless representations of query results called c...
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Declarative Statistical Modeling with Datalog
Formalisms for specifying statistical models, such as probabilisticprog...
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Dan Olteanu
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