Chris Jermaine

97 papers A* 22A 4B 2Journal 51Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation. CoRR Yuxin Tang, Zhiyuan Xin, Zhimin Ding, Xinyu Yao, Daniel Bourgeois, Tirthak Patel, Chris Jermaine
2025	J	`jnl`	DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs. CoRR Xinyu Yao, Daniel Bourgeois, Abhinav Jain, Yuxin Tang, Jiawen Yao, Zhimin Ding, Arlei Silva, Chris Jermaine
2025	J	`jnl`	EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution. Proc. VLDB Endow. Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Sleem Mahmoud Abdelghafar, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine
2025	J	`jnl`	Quantifying Information Disclosure During Gradient Descent Using Gradient Uniqueness. CoRR Sleem Mahmoud Abdelghafar, Maryam Aliakbarpour, Chris Jermaine
2025	J	`jnl`	Resource-efficient Inference with Foundation Model Programs. CoRR Lunyiu Nie, Zhimin Ding, Kevin Yu, Marco Cheung, Chris Jermaine, Swarat Chaudhuri
2025	J	`jnl`	SIMCOPILOT: Evaluating Large Language Models for Copilot-Style Code Generation. CoRR Mingchao Jiang, Abhinav Jain, Sophia Zorek, Chris Jermaine
2024	J	`jnl`	EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution. CoRR Daniel Bourgeois, Zhimin Ding, Dimitrije Jankov, Jiehui Li, Sleem Mahmoud Abdelghafar, Yuxin Tang, Jiawen Yao, Xinyu Yao, Chris Jermaine
2024	J	`jnl`	Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation. CoRR Abhinav Jain, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine
2024	J	`jnl`	RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models. CoRR Abhinav Jain, Chris Jermaine, Vaibhav V. Unhelkar
2023	A*	`conf`	Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. ICML Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine
2023	J	`jnl`	Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning. CoRR Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine
2023	A	`conf`	Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
2023	A*	`conf`	Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. ICCV Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2023	J	`jnl`	Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. CoRR Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2023	A	`conf`	LOFT: Finding Lottery Tickets through Filter-wise Training. AISTATS Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
2023	—	`conf`	Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques. SIGMOD Conference Companion Matthias Boehm, Matteo Interlandi, Chris Jermaine
2023	J	`jnl`	Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback. CoRR Abhinav Jain, Chima Adiole, Swarat Chaudhuri, Thomas W. Reps, Chris Jermaine
2022	J	`jnl`	Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. Proc. VLDB Endow. Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2022	J	`jnl`	Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
2022	J	`jnl`	LOFT: Finding Lottery Tickets through Filter-wise Training. CoRR Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
2022	A	`conf`	Meta-Meta Classification for One-Shot Learning. WACV Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine
2021	—	`conf`	Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra. SIGMOD Conference Shangyu Luo, Dimitrije Jankov, Binhang Yuan, Chris Jermaine
2021	J	`jnl`	Distributed Numerical and Machine Learning Computations via Two-Phase Execution of Aggregated Join Trees. Proc. VLDB Endow. Dimitrije Jankov, Binhang Yuan, Shangyu Luo, Chris Jermaine
2021	A*	`conf`	Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. ICCV Arkabandhu Chowdhury, Mingchao Jiang, Swarat Chaudhuri, Chris Jermaine
2021	J	`jnl`	Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. CoRR Arkabandhu Chowdhury, Mingchao Jiang, Chris Jermaine
2021	J	`jnl`	Lachesis: Automated Partitioning for UDF-Centric Analytics. Proc. VLDB Endow. Jia Zou, Amitabh Das, Pratik Barhate, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
2021	J	`jnl`	Neural Program Generation Modulo Static Analysis. CoRR Rohan Mukherjee, Yeming Wen, Dipak Chaudhari, Thomas W. Reps, Swarat Chaudhuri, Chris Jermaine
2021	J	`jnl`	Tensor Relational Algebra for Distributed Machine Learning System Design. Proc. VLDB Endow. Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
2021	B	`conf`	The Tensor-Relational Algebra, and Other Ideas in Machine Learning System Design. SSDBM Chris Jermaine
2020	—	`ed.`	2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020 IEEE BigData 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	J	`jnl`	Architecture of a distributed storage that combines file system, memory and computation in a single layer. VLDB J. Jia Zou, Arun Iyengar, Chris Jermaine
2020	J	`jnl`	Declarative Recursive Computation on an RDBMS: or, Why You Should Use a Database For Distributed Machine Learning. SIGMOD Rec. Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2020	J	`jnl`	Editorial. ACM Trans. Database Syst. Chris Jermaine
2020	J	`jnl`	Lachesis: Automated Generation of Persistent Partitionings for Big Data Applications. CoRR Jia Zou, Pratik Barhate, Amitabh Das, Arun Iyengar, Binhang Yuan, Dimitrije Jankov, Chris Jermaine
2020	—	`conf`	MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates. SIGMOD Conference Sourav Sikdar, Chris Jermaine
2020	J	`jnl`	Meta-Meta-Classification for One-Shot Learning. CoRR Arkabandhu Chowdhury, Dipak Chaudhari, Swarat Chaudhuri, Chris Jermaine
2020	J	`jnl`	Searching a Database of Source Codes Using Contextualized Code Search. CoRR Rohan Mukherjee, Swarat Chaudhuri, Chris Jermaine
2020	J	`jnl`	Searching a Database of Source Codes Using Contextualized Code Search. Proc. VLDB Endow. Rohan Mukherjee, Chris Jermaine, Swarat Chaudhuri
2020	J	`jnl`	Tensor Relational Algebra for Machine Learning System Design. CoRR Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
2019	J	`jnl`	Declarative Recursive Computation on an RDBMS, or, Why You Should Use a Database For Distributed Machine Learning. CoRR Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2019	J	`jnl`	Declarative Recursive Computation on an RDBMS. Proc. VLDB Endow. Dimitrije Jankov, Shangyu Luo, Binhang Yuan, Zhuhua Cai, Jia Zou, Chris Jermaine, Zekai J. Gao
2019	J	`jnl`	Pangea: Monolithic Distributed Storage for Data Analytics. Proc. VLDB Endow. Jia Zou, Arun Iyengar, Chris Jermaine
2018	—	`conf`	Neural Sketch Learning for Conditional Program Generation. ICLR Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine
2018	J	`jnl`	Pangea: Monolithic Distributed Storage for Data Analytics. CoRR Jia Zou, Arun Iyengar, Chris Jermaine
2018	—	`conf`	PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. SIGMOD Conference Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
2018	A*	`conf`	Program splicing. ICSE Yanxin Lu, Swarat Chaudhuri, Chris Jermaine, David Melski
2017	—	`conf`	An experimental comparison of complex object implementations for big data systems. SoCC Sourav Sikdar, Kia Teymourian, Chris Jermaine
2017	J	`jnl`	Bayesian Sketch Learning for Program Synthesis. CoRR Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine
2017	—	`conf`	Bayesian specification learning for finding API usage errors. ESEC/SIGSOFT FSE Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine
2017	J	`jnl`	Data-Driven Program Completion. CoRR Yanxin Lu, Swarat Chaudhuri, Chris Jermaine, David Melski
2017	J	`jnl`	Finding Likely Errors with Bayesian Specifications. CoRR Vijayaraghavan Murali, Swarat Chaudhuri, Chris Jermaine
2017	J	`jnl`	PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development. CoRR Jia Zou, R. Matthew Barnett, Tania Lorido-Botran, Shangyu Luo, Carlos Monroy, Sourav Sikdar, Kia Teymourian, Binhang Yuan, Chris Jermaine
2017	—	`conf`	Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge. DEBS Dimitrije Jankov, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, Chris Jermaine
2017	—	`conf`	The BUDS Language for Distributed Bayesian Machine Learning. SIGMOD Conference Zekai J. Gao, Shangyu Luo, Luis Leopoldo Perez, Chris Jermaine
2016	J	`jnl`	Distributed Algorithms for Computing Very Large Thresholded Covariance Matrices. ACM Trans. Knowl. Discov. Data Zekai J. Gao, Chris Jermaine
2015	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Chris Jermaine
2015	J	`jnl`	Workload-Driven Antijoin Cardinality Estimation. ACM Trans. Database Syst. Florin Rusu, Zixuan Zhuang, Mingxi Wu, Chris Jermaine
2013	J	`jnl`	A Sampling Algebra for Aggregate Estimation. CoRR Supriya Nirkhiwale, Alin Dobra, Chris Jermaine
2013	—	`conf`	Multiclass domain adaptation with iterative manifold alignment. WHISPERS Brian D. Bue, Chris Jermaine
2013	A	`conf`	Topic Models For Feature Selection in Document Clustering. SDM Anna Drummond, Chris Jermaine, Zografoula Vagena
2012	J	`jnl`	Synopses for Massive Data: Samples, Histograms, Wavelets, Sketches. Found. Trends Databases Graham Cormode, Minos N. Garofalakis, Peter J. Haas, Chris Jermaine
2012	A*	`conf`	The Latent Community Model for Detecting Sybils in Social Networks. NDSS Zhuhua Cai, Chris Jermaine
2012	A*	`conf`	Topic Models over Spoken Language. ICDM Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput
2011	J	`jnl`	Online Aggregation for Large MapReduce Jobs. Proc. VLDB Endow. Niketan Pansare, Vinayak R. Borkar, Chris Jermaine, Tyson Condie
2011	J	`jnl`	TRIAL: A Tool for Finding Distant Structural Similarities. IEEE ACM Trans. Comput. Biol. Bioinform. Jayendra Venkateswaran, Bin Song, Tamer Kahveci, Chris Jermaine
2011	J	`jnl`	The monte carlo database system: Stochastic analysis close to the data. ACM Trans. Database Syst. Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Chris Jermaine, Peter J. Haas
2010	J	`jnl`	A Model-Agnostic Framework for Fast Spatial Anomaly Detection. ACM Trans. Knowl. Discov. Data Mingxi Wu, Chris Jermaine, Sanjay Ranka, Xiuyao Song, John Gums
2010	A*	`conf`	Surrogate ranking for very expensive similarity queries. ICDE Fei Xu, Ravi Jampani, Mingxi Wu, Chris Jermaine, Tamer Kahveci
2009	A*	`conf`	A LRT framework for fast spatial anomaly detection. KDD Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums
2009	J	`jnl`	Guessing the extreme values in a data set: a Bayesian method and its applications. VLDB J. Mingxi Wu, Chris Jermaine
2009	J	`jnl`	Turbo-Charging Estimate Convergence in DBO. Proc. VLDB Endow. Alin Dobra, Chris Jermaine, Florin Rusu, Fei Xu
2008	A*	`conf`	A bayesian mixture model with linear regression mixing proportions. KDD Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums
2008	J	`jnl`	Scalable approximate query processing with the DBO engine. ACM Trans. Database Syst. Chris Jermaine, Subramanian Arumugam, Abhijit Pol, Alin Dobra
2008	—	`conf`	The DBO database system. SIGMOD Conference Florin Rusu, Fei Xu, Luis Leopoldo Perez, Mingxi Wu, Ravi Jampani, Chris Jermaine, Alin Dobra
2007	A*	`conf`	A Bayesian Method for Guessing the Extreme Values in a Data Set. VLDB Mingxi Wu, Chris Jermaine
2007	A*	`conf`	Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing. VLDB Fei Xu, Chris Jermaine
2006	A*	`conf`	Closest-Point-of-Approach Join for Moving Object Histories. ICDE Subramanian Arumugam, Chris Jermaine
2006	A*	`conf`	Materialized Sample Views for Database Approximation. ICDE Shantanu Joshi, Chris Jermaine
2006	A*	`conf`	New Sampling-Based Estimators for OLAP Queries. ICDE Ruoming Jin, Leonid Glimcher, Chris Jermaine, Gagan Agrawal
2006	A*	`conf`	Outlier detection by sampling with accuracy guarantees. KDD Mingxi Wu, Chris Jermaine
2006	J	`jnl`	The Sort-Merge-Shrink join. ACM Trans. Database Syst. Chris Jermaine, Alin Dobra, Subramanian Arumugam, Shantanu Joshi, Abhijit Pol
2005	—	`conf`	A Disk-Based Join With Probabilistic Guarantees. SIGMOD Conference Chris Jermaine, Alin Dobra, Subramanian Arumugam, Shantanu Joshi, Abhijit Pol
2005	J	`jnl`	Finding the most interesting correlations in a database: how hard can it be?. Inf. Syst. Chris Jermaine
2005	A*	`conf`	Online Estimation For Subset-Based SQL Queries. VLDB Chris Jermaine, Alin Dobra, Abhijit Pol, Shantanu Joshi
2005	—	`conf`	Relational Confidence Bounds Are Easy With The Bootstrap. SIGMOD Conference Abhijit Pol, Chris Jermaine
2004	—	`conf`	Online Maintenance of Very Large Random Samples. SIGMOD Conference Chris Jermaine, Abhijit Pol, Subramanian Arumugam
2003	A*	`conf`	Playing hide-and-seek with correlations. KDD Chris Jermaine
2003	A*	`conf`	Robust Estimation With Sampling and Approximate Pre-Aggregation. VLDB Chris Jermaine
2002	B	`conf`	Bridging the Gap between Response Time and Energy-Efficiency in Broadcast Schedule Design. EDBT Wai Gen Yee, Shamkant B. Navathe, Edward Omiecinski, Chris Jermaine
2002	J	`jnl`	Efficient Data Allocation over Multiple Channels at Broadcast Servers. IEEE Trans. Computers Wai Gen Yee, Shamkant B. Navathe, Edward Omiecinski, Chris Jermaine
2002	A*	`conf`	Lossy Reduction for Very High Dimensional Data. ICDE Chris Jermaine, Edward Omiecinski
2002	A*	`conf`	Out From Under the Trees. ICDE Chris Jermaine, Edward Omiecinski, Wai Gen Yee
2001	—	`conf`	Maintaining a Large Spatial Database with T2SM. ACM-GIS Chris Jermaine, Edward Omiecinski, Wai Gen Yee
2001	A*	`conf`	The Computational Complexity of High-Dimensional Correlation Search. ICDM Chris Jermaine
2000	—	`conf`	Approximate Query Answering in High-Dimensional Data Cubes. ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Chris Jermaine, Renée J. Miller
1999	A*	`conf`	A Novel Index Supporting High Volume Data Warehouse Insertion. VLDB Chris Jermaine, Anindya Datta, Edward Omiecinski
1999	—	`conf`	Computing Program Modularizations Using the k-Cut Method. WCRE Chris Jermaine