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ORCIDChris Jermaine
Christopher M. Jermaine
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- affiliation: Rice University, Houston, USA
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2020 – today
- 2024
[c67]Lunyiu Nie, Zhimin Ding, Erdong Hu, Christopher M. Jermaine, Swarat Chaudhuri:
Online Cascade Learning for Efficient Inference over Streams. ICML 2024- [c66]Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Christopher M. Jermaine:
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation. NeurIPS 2024 - [i26]Lunyiu Nie, Zhimin Ding, Erdong Hu, Christopher M. Jermaine, Swarat Chaudhuri:
Online Cascade Learning for Efficient Inference over Streams. CoRR abs/2402.04513 (2024) - [i25]Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine:
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation. CoRR abs/2405.15282 (2024) - [i24]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 abs/2405.16283 (2024) - [i23]Abhinav Jain, Chris Jermaine, Vaibhav V. Unhelkar:
RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models. CoRR abs/2409.12294 (2024) - [i22]Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Sleem Mahmoud Abdelghafar, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine:
EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution. CoRR abs/2410.02682 (2024) - 2023
- [c65]Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis:
LOFT: Finding Lottery Tickets through Filter-wise Training. AISTATS 2023: 6498-6526 - [c64]Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis:
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS 2023: 6630-6660 - [c63]Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine:
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. ICCV 2023: 19328-19339 - [c62]Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. ICML 2023: 33581-33598 - [c61]Matthias Boehm
, Matteo Interlandi, Chris Jermaine:
Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques. SIGMOD Conference Companion 2023: 53-59 - [i21]Abhinav Jain, Chima Adiole, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine:
Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback. CoRR abs/2305.18341 (2023) - [i20]Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine:
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. CoRR abs/2306.00088 (2023) - [i19]Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine:
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. CoRR abs/2309.03237 (2023) - 2022
- [j43]Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine:
Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. Proc. VLDB Endow. 15(8): 1581-1590 (2022) - [c60]Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis:
ResIST: Layer-wise decomposition of ResNets for distributed training. UAI 2022: 610-620 - [c59]Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine:
Meta-Meta Classification for One-Shot Learning. WACV 2022: 1628-1637 - [i18]Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis:
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR abs/2210.16105 (2022) - [i17]Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis:
LOFT: Finding Lottery Tickets through Filter-wise Training. CoRR abs/2210.16169 (2022) - 2021
- [j42]Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine:
Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees. Proc. VLDB Endow. 14(7): 1228-1240 (2021) - [j41]Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine:
Lachesis: Automated Partitioning for UDF-Centric Analytics. Proc. VLDB Endow. 14(8): 1262-1275 (2021) - [j40]Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Distributed Machine Learning System Design. Proc. VLDB Endow. 14(8): 1338-1350 (2021) - [c58]Arkabandhu Chowdhury, Mingchao Jiang, Swarat Chaudhuri, Chris Jermaine:
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. ICCV 2021: 9425-9434 - [c57]Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Christopher M. Jermaine:
Neural Program Generation Modulo Static Analysis. NeurIPS 2021: 18984-18996 - [c56]Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine:
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. SIGMOD Conference 2021: 1222-1234 - [c55]Chris Jermaine:
The Tensor-Relational Algebra, and Other Ideas in Machine Learning System Design. SSDBM 2021: 270 - [i16]Arkabandhu Chowdhury, Mingchao Jiang, Chris Jermaine:
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. CoRR abs/2101.00562 (2021) - [i15]Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis:
ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. CoRR abs/2107.00961 (2021) - [i14]Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Chris Jermaine:
Neural Program Generation Modulo Static Analysis. CoRR abs/2111.01633 (2021) - 2020
- [j39]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): 93-101 (2020) - [j38]Rohan Mukherjee, Chris Jermaine, Swarat Chaudhuri:
Searching a Database of Source Codes Using Contextualized Code Search. Proc. VLDB Endow. 13(10): 1765-1778 (2020) - [j37]Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao:
Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning. SIGMOD Rec. 49(1): 43-50 (2020) - [j36]Chris Jermaine:
Editorial. ACM Trans. Database Syst. 45(3): 10:1 (2020) - [j35]Jia Zou, Arun Iyengar, Chris Jermaine:
Architecture of a distributed storage that combines file system, memory and computation in a single layer. VLDB J. 29(5): 1049-1073 (2020) - [c54]Sourav Sikdar, Chris Jermaine:
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates. SIGMOD Conference 2020: 225-240 - [e3]Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz:
2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 [contents] - [i13]Rohan Mukherjee, Swarat Chaudhuri, Chris Jermaine:
Searching a Database of Source Codes Using Contextualized Code Search. CoRR abs/2001.03277 (2020) - [i12]Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine:
Meta-Meta-Classification for One-Shot Learning. CoRR abs/2004.08083 (2020) - [i11]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 abs/2004.12939 (2020) - [i10]Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine:
Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications. CoRR abs/2006.16529 (2020) - [i9]Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine:
Tensor Relational Algebra for Machine Learning System Design. CoRR abs/2009.00524 (2020)
2010 – 2019
- 2019
- [j34]Jia Zou, Arun Iyengar, Chris Jermaine:
Pangea: Monolithic Distributed Storage for Data Analytics. Proc. VLDB Endow. 12(6): 681-694 (2019) - [j33]Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao:
Declarative Recursive Computation on an RDBMS. Proc. VLDB Endow. 12(7): 822-835 (2019) - [j32]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): 1224-1238 (2019) - [j31]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): 2079-2092 (2019) - [i8]Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao:
Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning. CoRR abs/1904.11121 (2019) - [i7]Binhang Yuan, Anastasios Kyrillidis, Christopher M. Jermaine:
Distributed Learning of Deep Neural Networks using Independent Subnet Training. CoRR abs/1910.02120 (2019) - 2018
- [j30]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): 24-31 (2018) - [c53]Arkabandhu Chowdhury, Christopher M. Jermaine:
Parallel and Distributed MCMC via Shepherding Distributions. AISTATS 2018: 1819-1827 - [c52]Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine:
Neural Sketch Learning for Conditional Program Generation. ICLR 2018 - [c51]Yanxin Lu, Swarat Chaudhuri, Chris Jermaine, David Melski:
Program splicing. ICSE 2018: 338-349 - [c50]Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine:
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. SIGMOD Conference 2018: 1189-1204 - [e2]Gautam Das, Christopher M. Jermaine, Philip A. Bernstein:
Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference 2018, Houston, TX, USA, June 10-15, 2018. ACM 2018 [contents] - [i6]Jia Zou, Arun Iyengar, Chris Jermaine:
Pangea: Monolithic Distributed Storage for Data Analytics. CoRR abs/1808.06094 (2018) - 2017
- [j29]Binhang Yuan, Vijayaraghavan Murali, Christopher M. Jermaine:
Abridging source code. Proc. ACM Program. Lang. 1(OOPSLA): 58:1-58:26 (2017) - [c49]Sourav Sikdar, Kia Teymourian, Chris Jermaine:
An experimental comparison of complex object implementations for big data systems. SoCC 2017: 432-444 - [c48]Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine:
Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge. DEBS 2017: 292-297 - [c47]Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine:
Scalable Linear Algebra on a Relational Database System. ICDE 2017: 523-534 - [c46]Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Chris Jermaine:
The BUDS Language for Distributed Bayesian Machine Learning. SIGMOD Conference 2017: 961-976 - [c45]Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine:
Bayesian specification learning for finding API usage errors. ESEC/SIGSOFT FSE 2017: 151-162 - [i5]Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine:
Finding Likely Errors with Bayesian Specifications. CoRR abs/1703.01370 (2017) - [i4]Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine:
Bayesian Sketch Learning for Program Synthesis. CoRR abs/1703.05698 (2017) - [i3]Yanxin Lu, Swarat Chaudhuri, Chris Jermaine, David Melski:
Data-Driven Program Completion. CoRR abs/1705.09042 (2017) - [i2]Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine:
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. CoRR abs/1711.05573 (2017) - 2016
- [j28]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): 24:1-24:27 (2016) - [j27]Zekai J. Gao, Chris Jermaine:
Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices. ACM Trans. Knowl. Discov. Data 11(2): 12:1-12:25 (2016) - 2015
- [j26]Chris Jermaine:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 38(3): 2 (2015) - [j25]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): 1739-1740 (2015) - [j24]Florin Rusu, Zixuan Zhuang, Mingxi Wu, Chris Jermaine:
Workload-Driven Antijoin Cardinality Estimation. ACM Trans. Database Syst. 40(3): 16:1-16:41 (2015) - [c44]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: 810-818 - [c43]Yanxin Lu, Joe Warren, Christopher M. Jermaine, Swarat Chaudhuri, Scott Rixner:
Grading the Graders: Motivating Peer Graders in a MOOC. WWW 2015: 680-690 - 2014
- [j23]Christopher M. Jermaine:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 37(3): 5 (2014) - [c42]Luis Leopoldo Perez, Christopher M. Jermaine:
History-aware query optimization with materialized intermediate views. ICDE 2014: 520-531 - [c41]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: 785-790 - [c40]Anna Drummond, Christopher M. Jermaine:
Senders, Receivers and Authors in Document Classification. ICDM 2014: 791-796 - [c39]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: 1371-1382 - 2013
- [j22]Supriya Nirkhiwale, Alin Dobra, Christopher M. Jermaine:
A Sampling Algebra for Aggregate Estimation. Proc. VLDB Endow. 6(14): 1798-1809 (2013) - [c38]Zhuhua Cai, Christopher M. Jermaine, Zografoula Vagena, Dionysios Logothetis, Luis Leopoldo Perez:
The Pairwise Gaussian Random Field for High-Dimensional Data Imputation. ICDM 2013: 61-70 - [c37]Anna Drummond, Chris Jermaine, Zografoula Vagena:
Topic Models For Feature Selection in Document Clustering. SDM 2013: 521-529 - [c36]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: 637-648 - [c35]Brian D. Bue, Chris Jermaine:
Multiclass domain adaptation with iterative manifold alignment. WHISPERS 2013: 1-4 - [e1]Christian S. Jensen, Christopher M. Jermaine, Xiaofang Zhou:
29th IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 8-12, 2013. IEEE Computer Society 2013, ISBN 978-1-4673-4909-3 [contents] - [i1]Supriya Nirkhiwale, Alin Dobra, Chris Jermaine:
A Sampling Algebra for Aggregate Estimation. CoRR abs/1307.0193 (2013) - 2012
- [j21]Graham Cormode, Minos N. Garofalakis, Peter J. Haas, Chris Jermaine:
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. Found. Trends Databases 4(1-3): 1-294 (2012) - [c34]Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput:
Topic Models over Spoken Language. ICDM 2012: 1062-1067 - [c33]Zhuhua Cai, Chris Jermaine:
The Latent Community Model for Detecting Sybils in Social Networks. NDSS 2012 - 2011
- [j20]Niketan Pansare, Vinayak R. Borkar, Chris Jermaine, Tyson Condie:
Online Aggregation for Large MapReduce Jobs. Proc. VLDB Endow. 4(11): 1135-1145 (2011) - [j19]Jayendra Venkateswaran, Bin Song, Tamer Kahveci, Chris Jermaine:
TRIAL: A Tool for Finding Distant Structural Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. 8(3): 819-831 (2011) - [j18]Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Chris Jermaine, Peter J. Haas:
The monte carlo database system: Stochastic analysis close to the data. ACM Trans. Database Syst. 36(3): 18:1-18:41 (2011) - 2010
- [j17]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): 782-793 (2010) - [j16]Mingxi Wu, Chris Jermaine, Sanjay Ranka, Xiuyao Song, John Gums:
A Model-Agnostic Framework for Fast Spatial Anomaly Detection. ACM Trans. Knowl. Discov. Data 4(4): 20:1-20:30 (2010) - [c32]Fei Xu, Ravi Jampani, Mingxi Wu, Chris Jermaine, Tamer Kahveci:
Surrogate ranking for very expensive similarity queries. ICDE 2010: 848-859 - [c31]Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka:
Mixture models for learning low-dimensional roles in high-dimensional data. KDD 2010: 909-918 - [c30]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: 519-530 - [c29]Luis Leopoldo Perez, Subi Arumugam, Christopher M. Jermaine:
Evaluation of probabilistic threshold queries in MCDB. SIGMOD Conference 2010: 687-698
2000 – 2009
- 2009
- [j15]Alin Dobra, Chris Jermaine, Florin Rusu, Fei Xu:
Turbo-Charging Estimate Convergence in DBO. Proc. VLDB Endow. 2(1): 419-430 (2009) - [j14]Shantanu Joshi, Christopher M. Jermaine:
Sampling-based estimators for subset-based queries. VLDB J. 18(1): 181-202 (2009) - [j13]Mingxi Wu, Chris Jermaine:
Guessing the extreme values in a data set: a Bayesian method and its applications. VLDB J. 18(2): 571-597 (2009) - [c28]Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums:
A LRT framework for fast spatial anomaly detection. KDD 2009: 887-896 - 2008
- [j12]Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka:
Learning correlations using the mixture-of-subsets model. ACM Trans. Knowl. Discov. Data 1(4): 3:1-3:42 (2008) - [j11]Shantanu Joshi, Christopher M. Jermaine:
Materialized Sample Views for Database Approximation. IEEE Trans. Knowl. Data Eng. 20(3): 337-351 (2008) - [j10]Fei Xu, Christopher M. Jermaine, Alin Dobra:
Confidence bounds for sampling-based group by estimates. ACM Trans. Database Syst. 33(3): 16:1-16:44 (2008) - [j9]Chris Jermaine, Subramanian Arumugam, Abhijit Pol, Alin Dobra:
Scalable approximate query processing with the DBO engine. ACM Trans. Database Syst. 33(4): 23:1-23:54 (2008) - [j8]Abhijit Pol, Christopher M. Jermaine, Subramanian Arumugam:
Maintaining very large random samples using the geometric file. VLDB J. 17(5): 997-1018 (2008) - [j7]Jayendra Venkateswaran, Tamer Kahveci, Christopher M. Jermaine, Deepak Lachwani:
Reference-based indexing for metric spaces with costly distance measures. VLDB J. 17(5): 1231-1251 (2008) - [c27]Shantanu Joshi, Christopher M. Jermaine:
Robust Stratified Sampling Plans for Low Selectivity Queries. ICDE 2008: 199-208 - [c26]Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums:
A bayesian mixture model with linear regression mixing proportions. KDD 2008: 659-667 - [c25]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: 687-700 - [c24]Florin Rusu, Fei Xu, Luis Leopoldo Perez, Mingxi Wu, Ravi Jampani, Chris Jermaine, Alin Dobra:
The DBO database system. SIGMOD Conference 2008: 1223-1226 - 2007
- [j6]Christopher M. Jermaine:
Online Random Shuffling of Large Database Tables. IEEE Trans. Knowl. Data Eng. 19(1): 73-84 (2007) - [j5]Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka:
Conditional Anomaly Detection. IEEE Trans. Knowl. Data Eng. 19(5): 631-645 (2007) - [j4]Christopher M. Jermaine, Edward Omiecinski, Wai Gen Yee:
The partitioned exponential file for database storage management. VLDB J. 16(4): 417-437 (2007) - [c23]Xiuyao Song, Mingxi Wu, Christopher M. Jermaine, Sanjay Ranka:
Statistical change detection for multi-dimensional data. KDD 2007: 667-676 - [c22]Christopher M. Jermaine, Subramanian Arumugam, Abhijit Pol, Alin Dobra:
Scalable approximate query processing with the DBO engine. SIGMOD Conference 2007: 725-736 - [c21]Mingxi Wu, Chris Jermaine:
A Bayesian Method for Guessing the Extreme Values in a Data Set. VLDB 2007: 471-482 - [c20]Fei Xu, Chris Jermaine:
Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing. VLDB 2007: 639-650 - 2006
- [j3]Chris Jermaine, Alin Dobra, Subramanian Arumugam, Shantanu Joshi, Abhijit Pol:
The Sort-Merge-Shrink join. ACM Trans. Database Syst. 31(4): 1382-1416 (2006) - [c19]Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal:
New Sampling-Based Estimators for OLAP Queries. ICDE 2006: 18 - [c18]Subramanian Arumugam, Chris Jermaine:
Closest-Point-of-Approach Join for Moving Object Histories. ICDE 2006: 86 - [c17]Shantanu Joshi, Chris Jermaine:
Materialized Sample Views for Database Approximation. ICDE 2006: 151 - [c16]Mingxi Wu, Chris Jermaine:
Outlier detection by sampling with accuracy guarantees. KDD 2006: 767-772 - [c15]Jayendra Venkateswaran, Deepak Lachwani, Tamer Kahveci, Christopher M. Jermaine:
Reference-based Indexing of Sequence Databases. VLDB 2006: 906-917 - 2005
- [j2]Chris Jermaine:
Finding the most interesting correlations in a database: how hard can it be?. Inf. Syst. 30(1): 21-46 (2005) - [c14]Chris Jermaine, Alin Dobra, Subramanian Arumugam, Shantanu Joshi, Abhijit Pol:
A Disk-Based Join With Probabilistic Guarantees. SIGMOD Conference 2005: 563-574 - [c13]Abhijit Pol, Chris Jermaine:
Relational Confidence Bounds Are Easy With The Bootstrap. SIGMOD Conference 2005: 587-598 - [c12]Chris Jermaine, Alin Dobra, Abhijit Pol, Shantanu Joshi:
Online Estimation For Subset-Based SQL Queries. VLDB 2005: 745-756 - 2004
- [c11]Chris Jermaine, Abhijit Pol, Subramanian Arumugam:
Online Maintenance of Very Large Random Samples. SIGMOD Conference 2004: 299-310 - 2003
- [c10]Chris Jermaine:
Playing hide-and-seek with correlations. KDD 2003: 559-564 - [c9]Chris Jermaine:
Robust Estimation With Sampling and Approximate Pre-Aggregation. VLDB 2003: 886-897 - 2002
- [j1]Wai Gen Yee, Shamkant B. Navathe, Edward Omiecinski, Chris Jermaine:
Efficient Data Allocation over Multiple Channels at Broadcast Servers. IEEE Trans. Computers 51(10): 1231-1236 (2002) - [c8]Wai Gen Yee, Shamkant B. Navathe, Edward Omiecinski, Chris Jermaine:
Bridging the Gap between Response Time and Energy-Efficiency in Broadcast Schedule Design. EDBT 2002: 572-589 - [c7]Chris Jermaine, Edward Omiecinski, Wai Gen Yee:
Out From Under the Trees. ICDE 2002: 265 - [c6]Chris Jermaine, Edward Omiecinski:
Lossy Reduction for Very High Dimensional Data. ICDE 2002: 663-672 - 2001
- [c5]Chris Jermaine, Edward Omiecinski, Wai Gen Yee:
Maintaining a Large Spatial Database with T2SM. ACM-GIS 2001: 76-81 - [c4]Chris Jermaine:
The Computational Complexity of High-Dimensional Correlation Search. ICDM 2001: 249-256 - 2000
- [c3]Chris Jermaine, Renée J. Miller:
Approximate Query Answering in High-Dimensional Data Cubes. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery 2000: 31-36
1990 – 1999
- 1999
- [c2]Chris Jermaine, Anindya Datta, Edward Omiecinski:
A Novel Index Supporting High Volume Data Warehouse Insertion. VLDB 1999: 235-246 - [c1]Chris Jermaine:
Computing Program Modularizations Using the k-Cut Method. WCRE 1999: 224-234
Coauthor Index
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