MW
Markus Weimer
cs.LGcs.DCstat.MLcs.DBcs.PFcs.SEBig Datacs.AIcs.DLcs.IT
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
17 papers in the corpus · 2012–2023Large-Scale Automatic Audiobook Creation2309.03926v1 · Brendan Walsh, Mark Hamilton, Greg Newby et al.2023 · 1 citationarXiv
FLAML: A Fast and Lightweight AutoML Library1911.04706v3 · Chi Wang, Qingyun Wu, Markus Weimer et al.2019 · 129 citationsarXiv
A Tensor Compiler for Unified Machine Learning Prediction Serving2010.04804v3 · Supun Nakandala, Karla Saur, Gyeong-In Yu et al.2020 · 10 citationsarXiv
REEF: Retainable Evaluator Execution Framework.26819493 · Weimer, Markus, Chen, Yingda, Chun, Byung-Gon et al.2020 · 16 citationsProceedings. ACM-SIGMOD International Conference on Management of Data. 2015;2015:1343-1355
MLOS: An Infrastructure for Automated Software Performance Engineering2006.02155v2 · Carlo Curino, Neha Godwal, Brian Kroth et al.2020 · 14 citationsarXiv
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML1909.00084v2 · Ashvin Agrawal, Rony Chatterjee, Carlo Curino et al.2019 · 21 citationsarXiv
Data Science through the looking glass and what we found there1912.09536v1 · Fotis Psallidas, Yiwen Zhu, Bojan Karlas et al.2019 · 13 citationsarXiv
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach1906.03822v2 · Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim et al.2019 · 1 citationarXiv
MLSys: The New Frontier of Machine Learning Systems1904.03257v3 · Alexander Ratner, Dan Alistarh, Gustavo Alonso et al.2019 · 20 citationsarXivon Valency
Extending Relational Query Processing with ML Inference1911.00231v1 · Konstantinos Karanasos, Matteo Interlandi, Doris Xin et al.2019 · 14 citationsarXiv
Coded Elastic Computing1812.06411v3 · Yaoqing Yang, Matteo Interlandi, Pulkit Grover et al.2018 · 1 citationarXiv
PDP: A General Neural Framework for Learning Constraint Satisfaction Solvers1903.01969v1 · Saeed Amizadeh, Sergiy Matusevych, Markus Weimer2019 · 10 citationsarXiv
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems1810.06115v1 · Yunseong Lee, Alberto Scolari, Byung-Gon Chun et al.2018 · 10 citationsarXiv
Batch-Expansion Training: An Efficient Optimization Framework1704.06731v3 · Micha\l Derezi'nski, Dhruv Mahajan, S. Sathiya Keerthi et al.2017 · 1 citationarXiv
Towards Geo-Distributed Machine Learning1603.09035v1 · Ignacio Cano, Markus Weimer, Dhruv Mahajan et al.2016 · 46 citationsarXiv
Iterative MapReduce for Large Scale Machine Learning1303.3517v1 · Joshua Rosen, Neoklis Polyzotis, Vinayak Borkar et al.2013 · 26 citationsarXiv
Scaling Datalog for Machine Learning on Big Data1203.0160v2 · Yingyi Bu, Vinayak Borkar, Michael J. Carey et al.2012 · 51 citationsarXiv
Career total: 67 works. 17 are in this corpus.
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