Chris Jermaine

Vaibhav V. Unhelkar

CoRR, 2024

TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload.

[BibT_eX]

[DOI]

Sleem Mahmoud Abdelghafar

Yuxin Tang

Jiehui Li

Xinyu Yao

Daniel Bourgeois

CoRR, 2024

Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Online Cascade Learning for Efficient Inference over Streams.

[BibT_eX]

[DOI]

Lunyiu Nie

Zhimin Ding

Erdong Hu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques.

[BibT_eX]

[DOI]

Matthias Boehm

Matteo Interlandi

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat.

[BibT_eX]

[DOI]

Erdong Hu

Yuxin Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LOFT: Finding Lottery Tickets through Filter-wise Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout.

[BibT_eX]

[DOI]

Chen Dun

Mirian Hipolito Garcia

Dimitrios Dimitriadis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Meta-Meta Classification for One-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

ResIST: Layer-wise decomposition of ResNets for distributed training.

[BibT_eX]

[DOI]

Chen Dun

Cameron R. Wolfe

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

Lachesis: Automated Partitioning for UDF-Centric Analytics.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Tensor Relational Algebra for Distributed Machine Learning System Design.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier.

[BibT_eX]

[DOI]

Arkabandhu Chowdhury

Mingchao Jiang

CoRR, 2021

The Tensor-Relational Algebra, and Other Ideas in Machine Learning System Design.

[BibT_eX]

[DOI]

Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Neural Program Generation Modulo Static Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Architecture of a distributed storage that combines file system, memory and computation in a single layer.

[BibT_eX]

[DOI]

Jia Zou

Arun Iyengar

VLDB J., 2020

Editorial.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2020

Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning.

[BibT_eX]

[DOI]

SIGMOD Rec., 2020

Searching a Database of Source Codes Using Contextualized Code Search.

[BibT_eX]

[DOI]

Rohan Mukherjee

Proc. VLDB Endow., 2020

Tensor Relational Algebra for Machine Learning System Design.

[BibT_eX]

[DOI]

CoRR, 2020

Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications.

[BibT_eX]

[DOI]

CoRR, 2020

Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science.

[BibT_eX]

[DOI]

Kathryn S. McKinley

Alex Pang

Joanne Wendelberger

CoRR, 2020

Scalable linear algebra on a relational database system.

[BibT_eX]

[DOI]

Commun. ACM, 2020

MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates.

[BibT_eX]

[DOI]

Sourav Sikdar

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization.

[BibT_eX]

[DOI]

Zekai J. Gao

Niketan Pansare

IEEE Trans. Knowl. Data Eng., 2019

Pangea: Monolithic Distributed Storage for Data Analytics.

[BibT_eX]

[DOI]

Jia Zou

Arun Iyengar

Proc. VLDB Endow., 2019

Declarative Recursive Computation on an RDBMS.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Distributed Learning of Deep Neural Networks using Independent Subnet Training.

[BibT_eX]

[DOI]

Binhang Yuan

CoRR, 2019

2018

Scalable Linear Algebra on a Relational Database System.

[BibT_eX]

[DOI]

SIGMOD Rec., 2018

PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

Program splicing.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering, 2018

Neural Sketch Learning for Conditional Program Generation.

[BibT_eX]

[DOI]

Letao Qi

Proceedings of the 6th International Conference on Learning Representations, 2018

Parallel and Distributed MCMC via Shepherding Distributions.

[BibT_eX]

[DOI]

Arkabandhu Chowdhury

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Abridging source code.

[BibT_eX]

[DOI]

Binhang Yuan

Proc. ACM Program. Lang., 2017

Bayesian Sketch Learning for Program Synthesis.

[BibT_eX]

[DOI]

CoRR, 2017

Finding Likely Errors with Bayesian Specifications.

[BibT_eX]

[DOI]

CoRR, 2017

Data-Driven Program Completion.

[BibT_eX]

[DOI]

CoRR, 2017

Bayesian specification learning for finding API usage errors.

[BibT_eX]

[DOI]

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

The BUDS Language for Distributed Bayesian Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge.

[BibT_eX]

[DOI]

Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

An experimental comparison of complex object implementations for big data systems.

[BibT_eX]

[DOI]

Sourav Sikdar

Kia Teymourian

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

Do Anesthesiologists Know What They Are Doing? Mining a Surgical Time-Series Database to Correlate Expert Assessment with Outcomes.

[BibT_eX]

[DOI]

Risa B. Myers

John C. Frenzel

Joseph R. Ruiz

ACM Trans. Knowl. Discov. Data, 2016

Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices.

[BibT_eX]

[DOI]

Zekai J. Gao

ACM Trans. Knowl. Discov. Data, 2016

2015

Workload-Driven Antijoin Cardinality Estimation.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2015

Guest editorial: Special section on the international conference on data engineering.

[BibT_eX]

[DOI]

Christian S. Jensen

Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., 2015

Letter from the Special Issue Editor.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2015

Grading the Graders: Motivating Peer Graders in a MOOC.

[BibT_eX]

[DOI]

Yanxin Lu

Joe Warren

Scott Rixner

Proceedings of the 24th International Conference on World Wide Web, 2015

Correlating Surgical Vital Sign Quality with 30-Day Outcomes using Regression on Time Series Segment Features.

[BibT_eX]

[DOI]

Risa B. Myers

John C. Frenzel

Joseph R. Ruiz

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014

A comparison of platforms for implementing and running very large scale machine learning algorithms.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Management of Data, 2014

Learning to Grade Student Programs in a Massive Open Online Course.

[BibT_eX]

[DOI]

Anna Drummond

Yanxin Lu

Joe Warren

Scott Rixner

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Senders, Receivers and Authors in Document Classification.

[BibT_eX]

[DOI]

Anna Drummond

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

History-aware query optimization with materialized intermediate views.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013

A Sampling Algebra for Aggregate Estimation.

[BibT_eX]

[DOI]

Supriya Nirkhiwale

Alin Dobra

Proc. VLDB Endow., 2013

Multiclass domain adaptation with iterative manifold alignment.

[BibT_eX]

[DOI]

Brian D. Bue

Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013

Simulation of database-valued markov chains using SimSQL.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Topic Models For Feature Selection in Document Clustering.

[BibT_eX]

[DOI]

Anna Drummond

Zografoula Vagena

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

The Pairwise Gaussian Random Field for High-Dimensional Data Imputation.

[BibT_eX]

[DOI]

Zhuhua Cai

Zografoula Vagena

Dionysios Logothetis

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches.

[BibT_eX]

[DOI]

Found. Trends Databases, 2012

The Latent Community Model for Detecting Sybils in Social Networks.

[BibT_eX]

[DOI]

Zhuhua Cai

Proceedings of the 19th Annual Network and Distributed System Security Symposium, 2012

Topic Models over Spoken Language.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

2011

The monte carlo database system: Stochastic analysis close to the data.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2011

TRIAL: A Tool for Finding Distant Structural Similarities.

[BibT_eX]

[DOI]

Jayendra Venkateswaran

Bin Song

Tamer Kahveci

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Online Aggregation for Large MapReduce Jobs.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2011

2010

A Model-Agnostic Framework for Fast Spatial Anomaly Detection.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2010

MCDB-R: Risk Analysis in the Database.

[BibT_eX]

[DOI]

Peter J. Haas

Proc. VLDB Endow., 2010

Evaluation of probabilistic threshold queries in MCDB.

[BibT_eX]

[DOI]

Subi Arumugam

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

The DataPath system: a data-centric analytic processing engine for large data warehouses.

[BibT_eX]

[DOI]

Subi Arumugam

Alin Dobra

Niketan Pansare

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Mixture models for learning low-dimensional roles in high-dimensional data.

[BibT_eX]

[DOI]

Manas Somaiya

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Surrogate ranking for very expensive similarity queries.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Data Engineering, 2010

2009

Guessing the extreme values in a data set: a Bayesian method and its applications.

[BibT_eX]

[DOI]

VLDB J., 2009

Sampling-based estimators for subset-based queries.

[BibT_eX]

[DOI]

Shantanu Joshi

VLDB J., 2009

Turbo-Charging Estimate Convergence in DBO.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2009

A LRT framework for fast spatial anomaly detection.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Reference-based indexing for metric spaces with costly distance measures.

[BibT_eX]

[DOI]

Jayendra Venkateswaran

Tamer Kahveci

Deepak Lachwani

VLDB J., 2008

Maintaining very large random samples using the geometric file.

[BibT_eX]

[DOI]

Abhijit Pol

Subramanian Arumugam

VLDB J., 2008

Confidence bounds for sampling-based group by estimates.

[BibT_eX]

[DOI]

Fei Xu

Alin Dobra

ACM Trans. Database Syst., 2008

Scalable approximate query processing with the DBO engine.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2008

Materialized Sample Views for Database Approximation.

[BibT_eX]

[DOI]

Shantanu Joshi

IEEE Trans. Knowl. Data Eng., 2008

Learning correlations using the mixture-of-subsets model.

[BibT_eX]

[DOI]

Manas Somaiya

ACM Trans. Knowl. Discov. Data, 2008

The DBO database system.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

MCDB: a monte carlo approach to managing uncertain data.

[BibT_eX]

[DOI]

Peter J. Haas

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

A bayesian mixture model with linear regression mixing proportions.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Robust Stratified Sampling Plans for Low Selectivity Queries.

[BibT_eX]

[DOI]

Shantanu Joshi

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

The partitioned exponential file for database storage management.

[BibT_eX]

[DOI]

Wai Gen Yee

VLDB J., 2007

Conditional Anomaly Detection.

[BibT_eX]

[DOI]

Xiuyao Song

IEEE Trans. Knowl. Data Eng., 2007

Online Random Shuffling of Large Database Tables.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2007

Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing.

[BibT_eX]

[DOI]

Fei Xu

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

A Bayesian Method for Guessing the Extreme Values in a Data Set.

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Statistical change detection for multi-dimensional data.

[BibT_eX]

[DOI]

Xiuyao Song

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

The Sort-Merge-Shrink join.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2006

Reference-based Indexing of Sequence Databases.

[BibT_eX]

[DOI]

Jayendra Venkateswaran

Deepak Lachwani

Tamer Kahveci

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Outlier detection by sampling with accuracy guarantees.

[BibT_eX]

[DOI]

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

New Sampling-Based Estimators for OLAP Queries.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Data Engineering, 2006

Closest-Point-of-Approach Join for Moving Object Histories.

[BibT_eX]

[DOI]

Subramanian Arumugam

Proceedings of the 22nd International Conference on Data Engineering, 2006

2005

Finding the most interesting correlations in a database: how hard can it be?.

[BibT_eX]

[DOI]

Inf. Syst., 2005

Online Estimation For Subset-Based SQL Queries.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

Relational Confidence Bounds Are Easy With The Bootstrap.

[BibT_eX]

[DOI]

Abhijit Pol

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

A Disk-Based Join With Probabilistic Guarantees.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

2004

Online Maintenance of Very Large Random Samples.

[BibT_eX]

[DOI]

Abhijit Pol

Subramanian Arumugam

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

2003

Robust Estimation With Sampling and Approximate Pre-Aggregation.

[BibT_eX]

[DOI]

Proceedings of 29th International Conference on Very Large Data Bases, 2003

Playing hide-and-seek with correlations.

[BibT_eX]

[DOI]

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002

Efficient Data Allocation over Multiple Channels at Broadcast Servers.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2002

Out From Under the Trees.

[BibT_eX]

[DOI]

Wai Gen Yee

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

Lossy Reduction for Very High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Data Engineering, San Jose, CA, USA, February 26, 2002

Bridging the Gap between Response Time and Energy-Efficiency in Broadcast Schedule Design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Database Technology, 2002

2001

The Computational Complexity of High-Dimensional Correlation Search.

[BibT_eX]

[DOI]

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

Maintaining a Large Spatial Database with T2SM.

[BibT_eX]

[DOI]

Wai Gen Yee

Proceedings of the ACM-GIS 2001, 2001

2000

Approximate Query Answering in High-Dimensional Data Cubes.

[BibT_eX]

Renée J. Miller

Proceedings of the 2000 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2000

1999

Computing Program Modularizations Using the k-Cut Method.

[BibT_eX]

[DOI]

Proceedings of the Sixth Working Conference on Reverse Engineering, 1999

A Novel Index Supporting High Volume Data Warehouse Insertion.

[BibT_eX]

[DOI]

Anindya Datta