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Learning Models over Relational Data Using Sparse Tensors and Functional Dependencies

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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On the Barzilai-Borwein Method

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Data Mining Query Languages

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Data Mining Query Languages

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Stochastic Gradient Descent Tricks

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Digital Design and Computer Architecture

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Statistical Arbitrage in the U.S. Equities Market

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Methods for Modifying Matrix Factorizations

inferredcites →https://doi.org/10.1093/imanum/8.1.141openalex-snapshot

Two-Point Step Size Gradient Methods

inferredcites →https://doi.org/10.1109/focs.2008.43openalex-snapshot

Size Bounds and Query Plans for Relational Joins

inferredcites →https://doi.org/10.1109/icde.2001.914856openalex-snapshot

Mining frequent itemsets with convertible constraints

inferredcites →https://doi.org/10.1109/tkde.2016.2545664openalex-snapshot

The Gamma Matrix to Summarize Dense and Sparse Data Sets for Big Data Analytics

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Updating the Inverse of a Matrix

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Multiple-Rank Modifications of a Sparse Cholesky Factorization

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Factorization Machines with libFM

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Worst-Case Optimal Join Algorithms

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Towards a unified architecture for in-RDBMS analytics

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GLADE

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Ad click prediction

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Size Bounds for Factorised Representations of Query Results

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Learning Generalized Linear Models Over Normalized Data

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Design and Implementation of the LogicBlox System

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Resource Elasticity for Large-Scale Machine Learning

inferredcites →https://doi.org/10.1145/2745754.2745776openalex-snapshot

Joins via Geometric Resolutions

inferredcites →https://doi.org/10.1145/2764947.2764948openalex-snapshot

Join Processing for Graph Patterns

inferredcites →https://doi.org/10.1145/2799562.2799563openalex-snapshot

Speculative Approximations for Terascale Distributed Gradient Descent Optimization

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Learning Linear Regression Models over Factorized Joins

inferredcites →https://doi.org/10.1145/2882903.2882952openalex-snapshot

To Join or Not to Join?

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FAQ

inferredcites →https://doi.org/10.1145/3003665.3003667openalex-snapshot

Factorized Databases

inferredcites →https://doi.org/10.1145/3034786.3034797openalex-snapshot

A Relational Framework for Classifier Engineering

inferredcites →https://doi.org/10.1145/3035918.3035937openalex-snapshot

The BUDS Language for Distributed Bayesian Machine Learning

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Data Management in Machine Learning

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Data Management Challenges in Production Machine Learning

inferredcites →https://doi.org/10.1145/303976.303979openalex-snapshot

Hypertree decompositions and tractable queries

inferredcites →https://doi.org/10.1145/3196959.3196960openalex-snapshot

In-Database Learning with Sparse Tensors

inferredcites →https://doi.org/10.1145/3209889.3209896openalex-snapshot

AC/DC

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Scalable Linear Algebra on a Relational Database System

inferredcites →https://doi.org/10.1201/b18401openalex-snapshot

Statistical Learning with Sparsity

inferredcites →https://doi.org/10.14778/2367502.2367510openalex-snapshot

The MADlib analytics library

inferredcites →https://doi.org/10.14778/2535573.2488340openalex-snapshot

Scaling factorization machines to relational data

inferredcites →https://doi.org/10.14778/2556549.2556579openalex-snapshot

Aggregation and ordering in factorised databases

inferredcites →https://doi.org/10.14778/2732286.2732292openalex-snapshot

Hybrid parallelization strategies for large-scale machine learning in SystemML

inferredcites →https://doi.org/10.14778/3137628.3137633openalex-snapshot

Towards linear algebra over normalized data

inferredcites →https://doi.org/10.21105/joss.00726openalex-snapshot

mlpack 3: a fast, flexible machine learning library

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Research Directions for Principles of Data Management (Dagstuhl Perspectives Workshop 16151)

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Scikit-learn: Machine Learning in Python

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Skew Strikes Back: New Developments in the Theory of Join Algorithms

inferredcites →https://doi.org/10.48550/arxiv.1411.3406openalex-snapshot

A Field Guide to Forward-Backward Splitting with a FASTA Implementation

inferredcites →https://doi.org/10.48550/arxiv.1603.04467openalex-snapshot

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

inferredcites →https://doi.org/10.48550/arxiv.1605.08695openalex-snapshot

TensorFlow: A system for large-scale machine learning

inferredcites →https://doi.org/10.48550/arxiv.1803.07480openalex-snapshot

AC/DC: In-Database Learning Thunderstruck

inferredcites →https://doi.org/10.5441/002/icdt.2014.13openalex-snapshot

Triejoin: A Simple, Worst-Case Optimal Join Algorithm

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Constraint solving via fractional edge covers

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LIBLINEAR: A Library for Large Linear Classification

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Scikit-learn: Machine Learning in Python

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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F-IVM: analytics over relational databases under updates

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Givens rotations for QR decomposition, SVD and PCA over database joins

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Preserving logical and functional dependencies in synthetic tabular data

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A Comparative Study of in-Database Inference Approaches

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PA-FEAT: Fast Feature Selection for Structured Data via Progress-Aware Multi-Task Deep Reinforcement Learning

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AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction

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Data Lakes: A Survey of Functions and Systems

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Computing Shapley Values for Dynamic Data

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Functional Aggregate Queries with Additive Inequalities

inferred← citeshttps://doi.org/10.1145/3448016.3457321openalex-snapshot

ARM-Net: Adaptive Relation Modeling Network for Structured Data

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Machine learning over static and dynamic relational data

inferred← citeshttps://doi.org/10.1145/3511808.3557205openalex-snapshot

Extensible Database Simulator for Fast Prototyping In-Database Algorithms

inferred← citeshttps://doi.org/10.1145/3514221.3526144openalex-snapshot

Givens QR Decomposition over Relational Databases

inferred← citeshttps://doi.org/10.1145/3531055openalex-snapshot

Answering (Unions of) Conjunctive Queries using Random Access and Random-Order Enumeration

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Optimizing Tensor Programs on Flexible Storage

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Compiling Structured Tensor Algebra

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Query Evaluation under Differential Privacy

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Tight Bounds of Circuits for Sum-Product Queries

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StarfishDB: A Query Execution Engine for Relational Probabilistic Programming

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MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training

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Compressed and Parallelized Structured Tensor Algebra

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The relational data borg is learning

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Containerized execution of UDFs

inferred← citeshttps://doi.org/10.14778/3611540.3611598openalex-snapshot

Demonstration of OpenDBML, a Framework for Democratizing In-Database Machine Learning

inferred← citeshttps://doi.org/10.14778/3632093.3632095openalex-snapshot

SmartLite: A DBMS-Based Serving System for DNN Inference in Resource-Constrained Environments

inferred← citeshttps://doi.org/10.14778/3704965.3704985openalex-snapshot

Powering In-Database Dynamic Model Slicing for Structured Data Analytics

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Quantum Data Management in the NISQ Era

inferred← citeshttps://doi.org/10.48550/arxiv.2008.07864openalex-snapshot

The Relational Data Borg is Learning

inferred← citeshttps://doi.org/10.48550/arxiv.2106.09592openalex-snapshot

Data Lakes: A Survey of Functions and Systems

inferred← citeshttps://doi.org/10.48550/arxiv.2107.13923openalex-snapshot

Machine Learning over Static and Dynamic Relational Data

inferred← citeshttps://doi.org/10.48550/arxiv.2109.14806openalex-snapshot

Secure Machine Learning over Relational Data

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