NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (28)

cs.DB2015

TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries

Evan R. Sparks, Ameet Talwalkar, Michael J. Franklin +2

stat.ML2018

Smallify: Learning Network Size while Training

Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez +2

cs.DB2018

The Case for Learned Index Structures

Tim Kraska, Alex Beutel, Ed H. Chi +2

cs.DB2015

S-Store: Streaming Meets Transaction Processing

John Meehan, Nesime Tatbul, Stan Zdonik +10

cs.DB2018

IDEBench: A Benchmark for Interactive Data Exploration

Philipp Eichmann, Carsten Binnig, Tim Kraska +1

cs.DB2017

A Data Quality Metric (DQM): How to Estimate The Number of Undetected Errors in Data Sets

Yeounoh Chung, Sanjay Krishnan, Tim Kraska

cs.DB2014

Tupleware: Redefining Modern Analytics

Andrew Crotty, Alex Galakatos, Kayhan Dursun +3

cs.DB2015

Fault-Tolerant Entity Resolution with the Crowd

Anja Gruenheid, Besmira Nushi, Tim Kraska +2

cs.DB2011

PIQL: Success-Tolerant Query Processing in the Cloud

Michael Armbrust, Kristal Curtis, Tim Kraska +3

cs.LG2019

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

Madelon Hulsebos, Kevin Hu, Michiel Bakker +5

cs.HC2018

VizML: A Machine Learning Approach to Visualization Recommendation

Kevin Z. Hu, Michiel A. Bakker, Stephen Li +2

cs.DB2019

Automated Data Slicing for Model Validation:A Big data - AI Integration Approach

Yeounoh Chung, Tim Kraska, Neoklis Polyzotis +2

cs.DB2012

Getting It All from the Crowd

Beth Trushkowsky, Tim Kraska, Michael J. Franklin +1

cs.LG2013

MLI: An API for Distributed Machine Learning

Evan R. Sparks, Ameet Talwalkar, Virginia Smith +6

cs.DB2018

VizRec: A framework for secure data exploration via visual representation

Lorenzo De Stefani, Leonhard F. Spiegelberg, Tim Kraska +1

cs.DC2018

SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks

Linnan Wang, Jinmian Ye, Yiyang Zhao +5

cs.DB2012

CrowdER: Crowdsourcing Entity Resolution

Jiannan Wang, Tim Kraska, Michael J. Franklin +1

cs.DB2016

Revisiting Reuse in Main Memory Database Systems

Kayhan Dursun, Carsten Binnig, Ugur Cetintemel +1

cs.HC2019

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Kevin Hu, Neil Gaikwad, Michiel Bakker +7

cs.DB2016

The End of a Myth: Distributed Transactions Can Scale

Erfan Zamanian, Carsten Binnig, Tim Kraska +1

cs.DB2015

Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views

Sanjay Krishnan, Jiannan Wang, Michael J. Franklin +2

cs.DB2019

How I Learned to Stop Worrying and Love Re-optimization

Matthew Perron, Zeyuan Shang, Tim Kraska +1

cs.DB2014

Leveraging Transitive Relations for Crowdsourced Joins

Jiannan Wang, Guoliang Li, Tim Kraska +2

cs.DB2015

Estimating the Impact of Unknown Unknowns on Aggregate Query Results

Yeounoh Chung, Michael Lind Mortensen, Carsten Binnig +1

cs.DB2014

The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution

Jiannan Wang, Guoliang Li, Tim Kraska +2

cs.DB2012

MDCC: Multi-Data Center Consistency

Tim Kraska, Gene Pang, Michael J. Franklin +1

cs.DB2016

Controlling False Discoveries During Interactive Data Exploration

Zheguang Zhao, Lorenzo De Stefani, Emanuel Zgraggen +3

cs.DB2015

The End of Slow Networks: It's Time for a Redesign

Carsten Binnig, Andrew Crotty, Alex Galakatos +2