MF
Michael J. Franklin
cs.DBcs.LGcs.DCstat.MLAerial surveycs.CVcs.MSEcosystemPoaceaestat.ME
On Valency
published · living versionsW_pdnqtuth·v1 · currentpublished
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
with Sanjay Krishnan, Jiannan Wang, Eugene Wu, Ken Goldberg
1 version
Preprints & journals
32 papers in the corpus · 2011–2025The Cambridge Report on Database Research2504.11259v1 · Anastasia Ailamaki, Samuel Madden, Daniel Abadi et al.2025 · 3 citationsarXiv
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection2502.13318v1 · Paul Boniol, Ashwin K. Krishna, Marine Bruel et al.2025 · 30 citationsarXiv
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow2305.03842v1 · Siyuan Xia, Zhiru Zhu, Chris Zhu et al.2023 · 0 citationsarXiv
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning2002.02885v4 · Rui Liu, Sanjay Krishnan, Aaron J. Elmore et al.2020 · 10 citationsarXiv
The Data Station: Combining Data, Compute, and Market Forces2009.00035v1 · Raul Castro Fernandez, Kyle Chard, Ben Blaiszik et al.2020 · 2 citationsarXiv
Data Market Platforms: Trading Data Assets to Solve Data Problems2002.01047v2 · Raul Castro Fernandez, Pranav Subramaniam, Michael J. Franklin2020 · 13 citationsarXiv
Fast and Reliable Missing Data Contingency Analysis with Predicate-Constraints2004.04139v1 · Xi Liang, Zechao Shang, Aaron J. Elmore et al.2020 · 9 citationsarXiv
Band-limited Training and Inference for Convolutional Neural Networks1911.09287v1 · Adam Dziedzic, John Paparrizos, Sanjay Krishnan et al.2019 · 21 citationsarXiv
Mapping out bare-nosed wombat (Vombatus ursinus) burrows with the use of a drone.31533684 · Old, Julie M, Lin, Simon H, Franklin, Michael J M2019 · 17 citationsBMC ecology. 2019;19(1):39
BoostClean: Automated Error Detection and Repair for Machine Learning1711.01299v1 · Sanjay Krishnan, Michael J. Franklin, Ken Goldberg et al.2017 · 57 citationsarXiv
Clipper: A Low-Latency Online Prediction Serving System1612.03079v2 · Daniel Crankshaw, Xin Wang, Giulio Zhou et al.2016 · 346 citationsarXiv
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics1610.09451v1 · Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan et al.2016 · 133 citationsarXiv
Scientific Computing Meets Big Data Technology: An Astronomy Use Case1507.03325v2 · Zhao Zhang, Kyle Barbary, Frank Austin Nothaft et al.2015 · 53 citationsarXiv
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies1603.03336v1 · Francois W. Belletti, Evan R. Sparks, Michael J. Franklin et al.2016 · 2 citationsarXiv
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models1601.03797v1 · Sanjay Krishnan, Jiannan Wang, Eugene Wu et al.2016 · 23 citationsarXivon Valency
Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems1511.06493v1 · Francois Belletti, Evan Sparks, Michael Franklin et al.2015 · 1 citationarXiv
Asynchronous Complex Analytics in a Distributed Dataflow Architecture1510.07092v1 · Joseph E. Gonzalez, Peter Bailis, Michael I. Jordan et al.2015 · 10 citationsarXiv
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views1509.07454v1 · Sanjay Krishnan, Jiannan Wang, Michael J. Franklin et al.2015 · 21 citationsProceedings of the VLDB Endowment - Proceedings of the 41st International Conference on Very Large Data Bases, Kohala Coast, Hawaii Volume 8 Issue 12, August 2015 Pages 1370-1381
CLAMShell: Speeding up Crowds for Low-latency Data Labeling1509.05969v1 · Daniel Haas, Jiannan Wang, Eugene Wu et al.2015 · 11 citationsarXiv
MLlib: Machine Learning in Apache Spark1505.06807v1 · Xiangrui Meng, Joseph Bradley, Burak Yavuz et al.2015 · 957 citationsarXivon Valency
TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries1502.00068v2 · Evan R. Sparks, Ameet Talwalkar, Michael J. Franklin et al.2015 · 18 citationsarXiv
Active Learning for Crowd-Sourced Databases1209.3686v4 · Barzan Mozafari, Purnamrita Sarkar, Michael J. Franklin et al.2012 · 32 citationsarXiv
The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox1409.3809v2 · Daniel Crankshaw, Peter Bailis, Joseph E. Gonzalez et al.2014 · 85 citationsarXivon Valency
Coordination Avoidance in Database Systems (Extended Version)1402.2237v4 · Peter Bailis, Alan Fekete, Michael J. Franklin et al.2014 · 3 citationsarXiv
Leveraging Transitive Relations for Crowdsourced Joins1408.6916v2 · Jiannan Wang, Guoliang Li, Tim Kraska et al.2014 · 212 citationsarXiv
The Expected Optimal Labeling Order Problem for Crowdsourced Joins and Entity Resolution1409.7472v1 · Jiannan Wang, Guoliang Li, Tim Kraska et al.2014 · 3 citationsarXiv
GraphX: Unifying Data-Parallel and Graph-Parallel Analytics1402.2394v1 · Reynold S. Xin, Daniel Crankshaw, Ankur Dave et al.2014 · 57 citationsarXiv
MLI: An API for Distributed Machine Learning1310.5426v2 · Evan R. Sparks, Ameet Talwalkar, Virginia Smith et al.2013 · 175 citationsarXiv
CrowdER: Crowdsourcing Entity Resolution1208.1927v1 · Jiannan Wang, Tim Kraska, Michael J. Franklin et al.2012 · 66 citationsProceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 11, pp. 1483-1494 (2012)on Valency
Probabilistically Bounded Staleness for Practical Partial Quorums1204.6082v1 · Peter Bailis, Shivaram Venkataraman, Michael J. Franklin et al.2012 · 195 citationsProceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 8, pp. 776-787 (2012)
Getting It All from the Crowd1202.2335v1 · Beth Trushkowsky, Tim Kraska, Michael J. Franklin et al.2012 · 7 citationsarXiv
PIQL: Success-Tolerant Query Processing in the Cloud1111.7166v1 · Michael Armbrust, Kristal Curtis, Tim Kraska et al.2011 · 4 citationsProceedings of the VLDB Endowment (PVLDB), Vol. 5, No. 3, pp. 181-192 (2011)
Career total: 300 works. 32 are in this corpus.
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