Publications (32)
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management
Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou +2
Helix: Holistic Optimization for Accelerating Iterative Machine Learning
Doris Xin, Stephen Macke, Litian Ma +3
Helix: Accelerating Human-in-the-loop Machine Learning
Doris Xin, Litian Ma, Jialin Liu +3
Squish: Near-Optimal Compression for Archival of Relational Datasets
Yihan Gao, Aditya Parameswaran
SLiMFast: Guaranteed Results for Data Fusion and Source Reliability
Manas Joglekar, Theodoros Rekatsinas, Hector Garcia-Molina +2
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration
Yihan Gao, Chao Zhang, Jian Peng +1
Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System
Tarique Siddiqui, Albert Kim, John Lee +2
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
Yihan Gao, Aditya Parameswaran, Jian Peng
Finish Them!: Pricing Algorithms for Human Computation
Yihan Gao, Aditya Parameswaran
Interactive Data Exploration with Smart Drill-Down
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Exploiting Correlations for Expensive Predicate Evaluation
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran +1
Optimally Leveraging Density and Locality to Support LIMIT Queries
Albert Kim, Liqi Xu, Tarique Siddiqui +3
Characterizing Scalability Issues in Spreadsheet Software using Online Forums
Kelly Mack, John Lee, Kevin Chang +2
OrpheusDB: Bolt-on Versioning for Relational Databases
Silu Huang, Liqi Xu, Jialin Liu +2
Indexing Cost Sensitive Prediction
Leilani Battle, Edward Benson, Aditya Parameswaran +1
Comprehensive and Reliable Crowd Assessment Algorithms
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff
Souvik Bhattacherjee, Amit Chavan, Silu Huang +2
How Developers Iterate on Machine Learning Workflows -- A Survey of the Applied Machine Learning Literature
Doris Xin, Litian Ma, Shuchen Song +1
Adaptive Sampling for Rapidly Matching Histograms
Stephen Macke, Yiming Zhang, Silu Huang +1
Globally Optimal Crowdsourcing Quality Management
Akash Das Sarma, Aditya Parameswaran, Jennifer Widom
Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets
Yihan Gao, Silu Huang, Aditya Parameswaran
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities
Doris Xin, Litian Ma, Jialin Liu +3
CrowdGather: Entity Extraction over Structured Domains
Theodoros Rekatsinas, Amol Deshpande, Aditya Parameswaran
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora
Ayush Jain, Joon Young Seo, Karan Goel +3
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management
Aditya Parameswaran, Akash Das Sarma, Vipul Venkataraman
Towards a unified query language for provenance and versioning
Amit Chavan, Silu Huang, Amol Deshpande +3
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace
Ayush Jain, Akash Das Sarma, Aditya Parameswaran +1
Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts
Tana Wattanawaroon, Stephen Macke, Aditya Parameswaran
SCATTERSEARCH: Visual Querying of Scatterplot Visualizations
Doris Jung-Lin Lee, Jaewoo Kim, Renxuan Wang +1
The paper introduces SCATTERSEARCH, a visual query system that lets users search and browse large collections of scatterplots by selecting regions of interest or finding visually s…
Rapid Sampling for Visualizations with Ordering Guarantees
Albert Kim, Eric Blais, Aditya Parameswaran +3
Evaluating the Crowd with Confidence
Manas Joglekar, Hector Garcia-Molina, Aditya Parameswaran
Human-Assisted Graph Search: It's Okay to Ask Questions
Aditya Parameswaran, Anish Das Sarma, Hector Garcia-Molina +2