Christopher M. Jermaine

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 14

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Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Zhimin Ding, Jiawen Yao, Brianna Barrow, Tania Lorido-Botran, Christopher M. Jermaine, Yuxin Tang, Jiehui Li, Xinyu Yao, Sleem Mahmoud Abdelghafar, Daniel Bourgeois
TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload. CoRR (2024)
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
ResIST: Layer-wise decomposition of ResNets for distributed training. UAI (2022)
Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. CoRR (2021)
Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Christopher M. Jermaine
Neural Program Generation Modulo Static Analysis. NeurIPS (2021)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Dimitrije Jankov, Christopher M. Jermaine
Scalable linear algebra on a relational database system. Commun. ACM 63 (8) (2020)
Ross T. Whitaker, William B. Thompson, James Berger, Baruch Fischhof, Michael F. Goodchild, Mary Hegarty, Christopher M. Jermaine, Kathryn S. McKinley, Alex Pang, Joanne Wendelberger
Workshop on Quantification, Communication, and Interpretation of Uncertainty in Simulation and Data Science. CoRR (2020)
Zekai J. Gao, Niketan Pansare, Christopher M. Jermaine
Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization. IEEE Trans. Knowl. Data Eng. 31 (11) (2019)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
Scalable Linear Algebra on a Relational Database System. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Binhang Yuan, Anastasios Kyrillidis, Christopher M. Jermaine
Distributed Learning of Deep Neural Networks using Independent Subnet Training. CoRR (2019)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
Scalable Linear Algebra on a Relational Database System. SIGMOD Rec. 47 (1) (2018)
Arkabandhu Chowdhury, Christopher M. Jermaine
Parallel and Distributed MCMC via Shepherding Distributions. AISTATS (2018)
Binhang Yuan, Vijayaraghavan Murali, Christopher M. Jermaine
Abridging source code. Proc. ACM Program. Lang. 1 (OOPSLA) (2017)
Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine
Scalable Linear Algebra on a Relational Database System. ICDE (2017)
Risa B. Myers, John C. Frenzel, Joseph R. Ruiz, Christopher M. Jermaine
Do Anesthesiologists Know What They Are Doing? Mining a Surgical Time-Series Database to Correlate Expert Assessment with Outcomes. ACM Trans. Knowl. Discov. Data 10 (3) (2016)
Yanxin Lu, Joe Warren, Christopher M. Jermaine, Swarat Chaudhuri, Scott Rixner
Grading the Graders: Motivating Peer Graders in a MOOC. WWW (2015)
Christian S. Jensen, Christopher M. Jermaine, Xiaofang Zhou
Guest editorial: Special section on the international conference on data engineering. IEEE Trans. Knowl. Data Eng. 27 (7) (2015)
Risa B. Myers, John C. Frenzel, Joseph R. Ruiz, Christopher M. Jermaine
Correlating Surgical Vital Sign Quality with 30-Day Outcomes using Regression on Time Series Segment Features. SDM (2015)
Anna Drummond, Christopher M. Jermaine
Senders, Receivers and Authors in Document Classification. ICDM (2014)
Christopher M. Jermaine
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 37 (3) (2014)
Luis Leopoldo Perez, Christopher M. Jermaine
History-aware query optimization with materialized intermediate views. ICDE (2014)
Anna Drummond, Yanxin Lu, Swarat Chaudhuri, Christopher M. Jermaine, Joe Warren, Scott Rixner
Learning to Grade Student Programs in a Massive Open Online Course. ICDM (2014)
Zhuhua Cai, Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Zografoula Vagena, Christopher M. Jermaine
A comparison of platforms for implementing and running very large scale machine learning algorithms. SIGMOD Conference (2014)
Zhuhua Cai, Zografoula Vagena, Luis Leopoldo Perez, Subramanian Arumugam, Peter J. Haas, Christopher M. Jermaine
Simulation of database-valued markov chains using SimSQL. SIGMOD Conference (2013)
Supriya Nirkhiwale, Alin Dobra, Christopher M. Jermaine
A Sampling Algebra for Aggregate Estimation. Proc. VLDB Endow. 6 (14) (2013)
Zhuhua Cai, Christopher M. Jermaine, Zografoula Vagena, Dionysios Logothetis, Luis Leopoldo Perez
The Pairwise Gaussian Random Field for High-Dimensional Data Imputation. ICDM (2013)
Luis Leopoldo Perez, Subi Arumugam, Christopher M. Jermaine
Evaluation of probabilistic threshold queries in MCDB. SIGMOD Conference (2010)
Subi Arumugam, Alin Dobra, Christopher M. Jermaine, Niketan Pansare, Luis Leopoldo Perez
The DataPath system: a data-centric analytic processing engine for large data warehouses. SIGMOD Conference (2010)
Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka
Mixture models for learning low-dimensional roles in high-dimensional data. KDD (2010)
Subi Arumugam, Ravi Jampani, Luis Leopoldo Perez, Fei Xu, Christopher M. Jermaine, Peter J. Haas
MCDB-R: Risk Analysis in the Database. Proc. VLDB Endow. 3 (1) (2010)
Shantanu Joshi, Christopher M. Jermaine
Sampling-based estimators for subset-based queries. VLDB J. 18 (1) (2009)
Fei Xu, Christopher M. Jermaine, Alin Dobra
Confidence bounds for sampling-based group by estimates. ACM Trans. Database Syst. 33 (3) (2008)
Abhijit Pol, Christopher M. Jermaine, Subramanian Arumugam
Maintaining very large random samples using the geometric file. VLDB J. 17 (5) (2008)
Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka
Learning correlations using the mixture-of-subsets model. ACM Trans. Knowl. Discov. Data 1 (4) (2008)
Shantanu Joshi, Christopher M. Jermaine
Materialized Sample Views for Database Approximation. IEEE Trans. Knowl. Data Eng. 20 (3) (2008)
Shantanu Joshi, Christopher M. Jermaine
Robust Stratified Sampling Plans for Low Selectivity Queries. ICDE (2008)
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Christopher M. Jermaine, Peter J. Haas
MCDB: a monte carlo approach to managing uncertain data. SIGMOD Conference (2008)
Jayendra Venkateswaran, Tamer Kahveci, Christopher M. Jermaine, Deepak Lachwani
Reference-based indexing for metric spaces with costly distance measures. VLDB J. 17 (5) (2008)
Christopher M. Jermaine, Edward Omiecinski, Wai Gen Yee
The partitioned exponential file for database storage management. VLDB J. 16 (4) (2007)
Christopher M. Jermaine
Online Random Shuffling of Large Database Tables. IEEE Trans. Knowl. Data Eng. 19 (1) (2007)
Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka
Statistical change detection for multi-dimensional data. KDD (2007)
Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka
Conditional Anomaly Detection. IEEE Trans. Knowl. Data Eng. 19 (5) (2007)
Christopher M. Jermaine, Subramanian Arumugam, Abhijit Pol, Alin Dobra
Scalable approximate query processing with the DBO engine. SIGMOD Conference (2007)
Jayendra Venkateswaran, Deepak Lachwani, Tamer Kahveci, Christopher M. Jermaine
Reference-based Indexing of Sequence Databases. VLDB (2006)