Chris Jermaine

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 46

Top Topics

Relational Algebra

Feature Extractors

Top Venues

Proc. VLDB Endow.

SIGMOD Conference

Publications

Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation. CoRR (2024)
Matthias Boehm, Matteo Interlandi, Chris Jermaine
Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques. SIGMOD Conference Companion (2023)
Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. CoRR (2023)
Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
LOFT: Finding Lottery Tickets through Filter-wise Training. AISTATS (2023)
Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. ICCV (2023)
Abhinav Jain, Chima Adiole, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine
Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback. CoRR (2023)
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)
Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS (2023)
Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. CoRR (2023)
Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine
Meta-Meta Classification for One-Shot Learning. WACV (2022)
Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR (2022)
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) (2022)
Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
LOFT: Finding Lottery Tickets through Filter-wise Training. CoRR (2022)
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)
Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Chris Jermaine
Neural Program Generation Modulo Static Analysis. CoRR (2021)
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) (2021)
Chris Jermaine
The Tensor-Relational Algebra, and Other Ideas in Machine Learning System Design. SSDBM (2021)
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) (2021)
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) (2021)
Arkabandhu Chowdhury, Mingchao Jiang, Chris Jermaine
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. CoRR (2021)
Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. SIGMOD Conference (2021)
Rohan Mukherjee, Swarat Chaudhuri, Chris Jermaine
Searching a Database of Source Codes Using Contextualized Code Search. CoRR (2020)
Chris Jermaine
Editorial. ACM Trans. Database Syst. 45 (3) (2020)
Rohan Mukherjee, Chris Jermaine, Swarat Chaudhuri
Searching a Database of Source Codes Using Contextualized Code Search. Proc. VLDB Endow. 13 (10) (2020)
Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine
Meta-Meta-Classification for One-Shot Learning. CoRR (2020)
Sourav Sikdar, Chris Jermaine
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates. SIGMOD Conference (2020)
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) (2020)
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) (2020)
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 (2020)
Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
Tensor Relational Algebra for Machine Learning System Design. CoRR (2020)
Jia Zou, Arun Iyengar, Chris Jermaine
Pangea: Monolithic Distributed Storage for Data Analytics. Proc. VLDB Endow. 12 (6) (2019)
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) (2019)
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 (2019)
Jia Zou, Arun Iyengar, Chris Jermaine
Pangea: Monolithic Distributed Storage for Data Analytics. CoRR (2018)
Yanxin Lu, Swarat Chaudhuri, Chris Jermaine, David Melski
Program splicing. ICSE (2018)
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)
Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine
Neural Sketch Learning for Conditional Program Generation. ICLR (2018)
Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine
Bayesian specification learning for finding API usage errors. ESEC/SIGSOFT FSE (2017)
Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Chris Jermaine
The BUDS Language for Distributed Bayesian Machine Learning. SIGMOD Conference (2017)
Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine
Bayesian Sketch Learning for Program Synthesis. CoRR (2017)
Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine
Finding Likely Errors with Bayesian Specifications. CoRR (2017)
Yanxin Lu, Swarat Chaudhuri, Chris Jermaine, David Melski
Data-Driven Program Completion. CoRR (2017)
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 (2017)
Sourav Sikdar, Kia Teymourian, Chris Jermaine
An experimental comparison of complex object implementations for big data systems. SoCC (2017)
Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine
Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge. DEBS (2017)
Zekai J. Gao, Chris Jermaine
Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices. ACM Trans. Knowl. Discov. Data 11 (2) (2016)
Chris Jermaine
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 38 (3) (2015)
Florin Rusu, Zixuan Zhuang, Mingxi Wu, Chris Jermaine
Workload-Driven Antijoin Cardinality Estimation. ACM Trans. Database Syst. 40 (3) (2015)
Supriya Nirkhiwale, Alin Dobra, Chris Jermaine
A Sampling Algebra for Aggregate Estimation. CoRR (2013)
Anna Drummond, Chris Jermaine, Zografoula Vagena
Topic Models For Feature Selection in Document Clustering. SDM (2013)
Brian D. Bue, Chris Jermaine
Multiclass domain adaptation with iterative manifold alignment. WHISPERS (2013)
Graham Cormode, Minos N. Garofalakis, Peter J. Haas, Chris Jermaine
Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. Found. Trends Databases 4 (1-3) (2012)
Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput
Topic Models over Spoken Language. ICDM (2012)
Zhuhua Cai, Chris Jermaine
The Latent Community Model for Detecting Sybils in Social Networks. NDSS (2012)
Niketan Pansare, Vinayak R. Borkar, Chris Jermaine, Tyson Condie
Online Aggregation for Large MapReduce Jobs. Proc. VLDB Endow. 4 (11) (2011)
Jayendra Venkateswaran, Bin Song, Tamer Kahveci, Chris Jermaine
TRIAL: A Tool for Finding Distant Structural Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (3) (2011)
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) (2011)
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) (2010)
Fei Xu, Ravi Jampani, Mingxi Wu, Chris Jermaine, Tamer Kahveci
Surrogate ranking for very expensive similarity queries. ICDE (2010)
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums
A LRT framework for fast spatial anomaly detection. KDD (2009)
Mingxi Wu, Chris Jermaine
Guessing the extreme values in a data set: a Bayesian method and its applications. VLDB J. 18 (2) (2009)
Alin Dobra, Chris Jermaine, Florin Rusu, Fei Xu
Turbo-Charging Estimate Convergence in DBO. Proc. VLDB Endow. 2 (1) (2009)
Florin Rusu, Fei Xu, Luis Leopoldo Perez, Mingxi Wu, Ravi Jampani, Chris Jermaine, Alin Dobra
The DBO database system. SIGMOD Conference (2008)
Chris Jermaine, Subramanian Arumugam, Abhijit Pol, Alin Dobra
Scalable approximate query processing with the DBO engine. ACM Trans. Database Syst. 33 (4) (2008)
Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums
A bayesian mixture model with linear regression mixing proportions. KDD (2008)
Mingxi Wu, Chris Jermaine
A Bayesian Method for Guessing the Extreme Values in a Data Set. VLDB (2007)
Fei Xu, Chris Jermaine
Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing. VLDB (2007)
Mingxi Wu, Chris Jermaine
Outlier detection by sampling with accuracy guarantees. KDD (2006)
Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal
New Sampling-Based Estimators for OLAP Queries. ICDE (2006)
Subramanian Arumugam, Chris Jermaine
Closest-Point-of-Approach Join for Moving Object Histories. ICDE (2006)
Chris Jermaine, Alin Dobra, Subramanian Arumugam, Shantanu Joshi, Abhijit Pol
The Sort-Merge-Shrink join. ACM Trans. Database Syst. 31 (4) (2006)
Shantanu Joshi, Chris Jermaine
Materialized Sample Views for Database Approximation. ICDE (2006)
Chris Jermaine, Alin Dobra, Subramanian Arumugam, Shantanu Joshi, Abhijit Pol
A Disk-Based Join With Probabilistic Guarantees. SIGMOD Conference (2005)
Chris Jermaine, Alin Dobra, Abhijit Pol, Shantanu Joshi
Online Estimation For Subset-Based SQL Queries. VLDB (2005)
Chris Jermaine
Finding the most interesting correlations in a database: how hard can it be?. Inf. Syst. 30 (1) (2005)
Abhijit Pol, Chris Jermaine
Relational Confidence Bounds Are Easy With The Bootstrap. SIGMOD Conference (2005)
Chris Jermaine, Abhijit Pol, Subramanian Arumugam
Online Maintenance of Very Large Random Samples. SIGMOD Conference (2004)
Chris Jermaine
Robust Estimation With Sampling and Approximate Pre-Aggregation. VLDB (2003)
Chris Jermaine
Playing hide-and-seek with correlations. KDD (2003)
Wai Gen Yee, Shamkant B. Navathe, Edward Omiecinski, Chris Jermaine
Efficient Data Allocation over Multiple Channels at Broadcast Servers. IEEE Trans. Computers 51 (10) (2002)
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)
Chris Jermaine, Edward Omiecinski, Wai Gen Yee
Out From Under the Trees. ICDE (2002)
Chris Jermaine, Edward Omiecinski
Lossy Reduction for Very High Dimensional Data. ICDE (2002)
Chris Jermaine, Edward Omiecinski, Wai Gen Yee
Maintaining a Large Spatial Database with T2SM. ACM-GIS (2001)
Chris Jermaine
The Computational Complexity of High-Dimensional Correlation Search. ICDM (2001)
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)
Chris Jermaine, Anindya Datta, Edward Omiecinski
A Novel Index Supporting High Volume Data Warehouse Insertion. VLDB (1999)
Chris Jermaine
Computing Program Modularizations Using the k-Cut Method. WCRE (1999)