Aditya G. Parameswaran

215 papers A* 19A 20B 3Journal 143Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Arming Data Agents with Tribal Knowledge. CoRR Shubham Agarwal, Asim Biswal, Sepanta Zeighami, Alvin Cheung, Joseph Gonzalez, Aditya G. Parameswaran
2026	J	`jnl`	Can AI Agents Answer Your Data Questions? A Benchmark for Data Agents. CoRR Ruiying Ma, Shreya Shankar, Ruiqi Chen, Yiming Lin, Sepanta Zeighami, Rajoshi Ghosh, Abhinav Gupta, Anushrut Gupta, Tanmai Gopal, Aditya G. Parameswaran
2026	A*	`conf`	RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines. CHI Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2026	A	`conf`	Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. CIDR Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph Gonzalez, Aditya G. Parameswaran
2026	J	`jnl`	Task Cascades for Efficient Unstructured Data Processing. CoRR Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2025	J	`jnl`	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees. CoRR Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees. Proc. ACM Manag. Data Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing. Proc. VLDB Endow. Shreya Shankar, Tristan Chambers, Tarak Shah, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees. CoRR Sepanta Zeighami, Shreya Shankar, Aditya G. Parameswaran
2025	A	`conf`	Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle. CIDR Rolando Garcia, Chithra Anand, Sarah E. Chasins, Joseph M. Hellerstein, Aditya G. Parameswaran
2025	J	`jnl`	LLM-Powered Proactive Data Systems. CoRR Sepanta Zeighami, Yiming Lin, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	LLM-Powered Proactive Data Systems. IEEE Data Eng. Bull. Sepanta Zeighami, Yiming Lin, Shreya Shankar, Aditya G. Parameswaran
2025	J	`jnl`	Multi-Objective Agentic Rewrites for Unstructured Data Processing. CoRR Lindsey Linxi Wei, Shreya Shankar, Sepanta Zeighami, Yeounoh Chung, Fatma Özcan, Aditya G. Parameswaran
2025	A*	`conf`	NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval. ICLR Sepanta Zeighami, Zac Wellmer, Aditya G. Parameswaran
2025	—	`conf`	PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines. NAACL (Long Papers) Reya Vir, Shreya Shankar, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran
2025	J	`jnl`	PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines. CoRR Reya Vir, Shreya Shankar, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran
2025	J	`jnl`	Physical Visualization Design: Decoupling Interface and System Design. Proc. ACM Manag. Data Yiru Chen, Xupeng Li, Jeffrey Tao, Lana Ramjit, Subrata Mitra, Javad Ghaderi, Ravi Netravali, Aditya G. Parameswaran, Dan Rubenstein, Eugene Wu
2025	A*	`conf`	Querying Templatized Document Collections with Large Language Models. ICDE Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines. CoRR Quentin Romero Lauro, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran
2025	J	`jnl`	RequestAtlas: Supporting the Slow and Iterative Process of Requesting Public Records. Proc. ACM Hum. Comput. Interact. Rachel B. Warren, Lisa Pickoff-White, Aditya G. Parameswaran, Niloufar Salehi
2025	A*	`conf`	Rethinking Dataset Discovery with DataScout. UIST Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran
2025	J	`jnl`	Rethinking Dataset Discovery with DataScout. CoRR Rachel Lin, Bhavya Chopra, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran
2025	A*	`conf`	Steering Semantic Data Processing With DocWrangler. UIST Shreya Shankar, Bhavya Chopra, Mawil Hasan, Stephen Lee, Bjoern Hartmann, Joseph M. Hellerstein, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	Steering Semantic Data Processing With DocWrangler. CoRR Shreya Shankar, Bhavya Chopra, Mawil Hasan, Stephen Lee, Björn Hartmann, Joseph M. Hellerstein, Aditya G. Parameswaran, Eugene Wu
2025	J	`jnl`	Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. CoRR Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph E. Gonzalez, Aditya G. Parameswaran
2025	J	`jnl`	TARGET: Benchmarking Table Retrieval for Generative Tasks. CoRR Xingyu Ji, Parker Glenn, Aditya G. Parameswaran, Madelon Hulsebos
2025	J	`jnl`	TWIX: Automatically Reconstructing Structured Data from Templatized Documents. CoRR Yiming Lin, Mawil Hasan, Rohan Kosalge, Alvin Cheung, Aditya G. Parameswaran
2025	J	`jnl`	The Cambridge Report on Database Research. CoRR Anastasia Ailamaki, Samuel Madden, Daniel Abadi, Gustavo Alonso, Sihem Amer-Yahia, Magdalena Balazinska, Philip A. Bernstein, Peter Boncz, Michael J. Cafarella, Surajit Chaudhuri, Susan B. Davidson, David J. DeWitt, Yanlei Diao, Xin Luna Dong, Michael J. Franklin, Juliana Freire, Johannes Gehrke, Alon Y. Halevy, Joseph M. Hellerstein, Mark D. Hill, Stratos Idreos, Yannis E. Ioannidis, Christoph Koch, Donald Kossmann, Tim Kraska, Arun Kumar, Guoliang Li, Volker Markl, Renée J. Miller, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Aditya G. Parameswaran, Ippokratis Pandis, Jignesh M. Patel, Andrew Pavlo, Danica Porobic, Viktor Sanca, Michael Stonebraker, Julia Stoyanovich, Dan Suciu, Wang-Chiew Tan, Shivaram Venkataraman, Matei Zaharia, Stanley B. Zdonik
2025	J	`jnl`	Transactional panorama: a conceptual framework for user perception in analytical visual interfaces (extended version). VLDB J. Dixin Tang, Alan D. Fekete, Indranil Gupta, Aditya G. Parameswaran
2025	J	`jnl`	Visual Template Inference for Data Extraction from Documents. Proc. ACM Manag. Data Yiming Lin, Mawil Hasan, Rohan Kosalge, Alvin Cheung, Aditya G. Parameswaran
2025	J	`jnl`	Why Do Multi-Agent LLM Systems Fail? CoRR Mert Cemri, Melissa Z. Pan, Shuyi Yang, Lakshya A. Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica
2024	J	`jnl`	"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. CoRR Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
2024	J	`jnl`	"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. Proc. ACM Hum. Comput. Interact. Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
2024	—	`conf`	Building Reactive Large Language Model Pipelines with Motion. SIGMOD Conference Companion Shreya Shankar, Aditya G. Parameswaran
2024	J	`jnl`	Dealing with Acronyms, Abbreviations, and Typos in Real-World Entity Matching. Proc. VLDB Endow. Joshua Wu, Dixin Tang, Nithin V. Chalapathi, Tristan Chambers, Julie Ciccolini, Cheryl Phillips, Lisa Pickoff-White, Aditya G. Parameswaran
2024	J	`jnl`	DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing. CoRR Shreya Shankar, Aditya G. Parameswaran, Eugene Wu
2024	J	`jnl`	Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle. CoRR Rolando Garcia, Pragya Kallanagoudar, Chithra Anand, Sarah E. Chasins, Joseph M. Hellerstein, Aditya G. Parameswaran
2024	A	`conf`	Inferring Visualization Intent from Conversation. CIKM Haotian Li, Nithin Chalapathi, Huamin Qu, Alvin Cheung, Aditya G. Parameswaran
2024	—	`conf`	It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? HILDA@SIGMOD Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran
2024	J	`jnl`	NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval. CoRR Sepanta Zeighami, Zac Wellmer, Aditya G. Parameswaran
2024	—	`conf`	Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets. UIST (Adjunct Volume) Pragya Kallanagoudar, Chithra Anand, Rolando Garcia, Rebecca M. M. Hicke, Aditya G. Parameswaran, Eunice Jun, Sarah E. Chasins
2024	A	`conf`	Revisiting Prompt Engineering via Declarative Crowdsourcing. CIDR Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
2024	J	`jnl`	SPADE: Synthesizing Assertions for Large Language Model Pipelines. CoRR Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
2024	J	`jnl`	SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. Proc. VLDB Endow. Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirscu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
2024	J	`jnl`	Towards Accurate and Efficient Document Analytics with Large Language Models. CoRR Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
2024	A*	`conf`	Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. UIST Shreya Shankar, J. D. Zamfirescu-Pereira, Bjoern Hartmann, Aditya G. Parameswaran, Ian Arawjo
2024	J	`jnl`	Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. CoRR Shreya Shankar, J. D. Zamfirescu-Pereira, Björn Hartmann, Aditya G. Parameswaran, Ian Arawjo
2023	A	`conf`	Automatic and Precise Data Validation for Machine Learning. CIKM Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
2023	A*	`conf`	Efficient and Compact Spreadsheet Formula Graphs. ICDE Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran
2023	J	`jnl`	Efficient and Compact Spreadsheet Formula Graphs. CoRR Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran
2023	J	`jnl`	Moving Fast With Broken Data. CoRR Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
2023	J	`jnl`	Revisiting Prompt Engineering via Declarative Crowdsourcing. CoRR Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
2023	J	`jnl`	Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces. CoRR Dixin Tang, Alan D. Fekete, Indranil Gupta, Aditya G. Parameswaran
2023	J	`jnl`	Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces. Proc. VLDB Endow. Dixin Tang, Alan D. Fekete, Indranil Gupta, Aditya G. Parameswaran
2023	J	`jnl`	Visualizing Spreadsheet Formula Graphs Compactly. Proc. VLDB Endow. Fanchao Chen, Dixin Tang, Haotian Li, Aditya G. Parameswaran
2022	J	`jnl`	Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. Shreya Shankar, Stephen Macke, Sarah E. Chasins, Andrew Head, Aditya G. Parameswaran
2022	J	`jnl`	Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study. IEEE Trans. Vis. Comput. Graph. Doris Jung Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya G. Parameswaran
2022	J	`jnl`	Expressive querying for accelerating visual analytics. Commun. ACM Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
2022	J	`jnl`	Leveraging Analysis History for Improved In Situ Visualization Recommendation. Comput. Graph. Forum Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer
2022	J	`jnl`	Operationalizing Machine Learning: An Interview Study. CoRR Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
2022	—	`conf`	Piloting Data Engineering at Berkeley. DataEd@SIGMOD Joseph M. Hellerstein, Aditya G. Parameswaran
2022	J	`jnl`	Rethinking Streaming Machine Learning Evaluation. CoRR Shreya Shankar, Bernease Herman, Aditya G. Parameswaran
2022	J	`jnl`	The Sky Above The Clouds. CoRR Sarah E. Chasins, Alvin Cheung, Natacha Crooks, Ali Ghodsi, Ken Goldberg, Joseph E. Gonzalez, Joseph M. Hellerstein, Michael I. Jordan, Anthony D. Joseph, Michael W. Mahoney, Aditya G. Parameswaran, David A. Patterson, Raluca Ada Popa, Koushik Sen, Scott Shenker, Dawn Song, Ion Stoica
2022	A	`conf`	Towards Observability for Machine Learning Pipelines. CIDR Shreya Shankar, Aditya G. Parameswaran
2022	J	`jnl`	Towards Observability for Production Machine Learning Pipelines [Vision]. Proc. VLDB Endow. Shreya Shankar, Aditya G. Parameswaran
2021	J	`jnl`	Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study. CoRR Doris Jung Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya G. Parameswaran
2021	J	`jnl`	Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. CoRR Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2021	J	`jnl`	Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. IEEE Data Eng. Bull. Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2021	J	`jnl`	Fine-Grained Lineage for Safer Notebook Interactions. Proc. VLDB Endow. Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head
2021	J	`jnl`	Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System. Proc. VLDB Endow. Devin Petersohn, Dixin Tang, Rehan Sohail Durrani, Areg Melik-Adamyan, Joseph Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran
2021	J	`jnl`	From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight. SIGMOD Rec. Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
2021	J	`jnl`	Lux: Always-on Visualization Recommendations for Exploratory Data Science. CoRR Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran
2021	J	`jnl`	Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows. Proc. VLDB Endow. Doris Jung Lin Lee, Dixin Tang, Kunal Agarwal, Thyne Boonmark, Caitlyn Chen, Jake Kang, Ujjaini Mukhopadhyay, Jerry Song, Micah Yong, Marti A. Hearst, Aditya G. Parameswaran
2021	J	`jnl`	NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. Proc. VLDB Endow. Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran
2021	—	`conf`	Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. SIGMOD Conference Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis
2021	J	`jnl`	Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. CoRR Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis
2021	A*	`conf`	Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. ICDE Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
2021	J	`jnl`	Towards Observability for Machine Learning Pipelines. CoRR Shreya Shankar, Aditya G. Parameswaran
2021	A*	`conf`	Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CHI Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran
2021	J	`jnl`	Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CoRR Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran
2020	J	`jnl`	$\varvec{\textsc {Orpheus}}$DB: bolt-on versioning for relational databases (extended version). VLDB J. Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
2020	—	`conf`	Benchmarking Spreadsheet Systems. SIGMOD Conference Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran
2020	—	`conf`	Democratizing Data Science and Lessons Learned Along the Way. PhD@VLDB Aditya G. Parameswaran
2020	J	`jnl`	Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development. CoRR Angela Lee, Doris Xin, Doris Lee, Aditya G. Parameswaran
2020	J	`jnl`	Fine-Grained Lineage for Safer Notebook Interactions. CoRR Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran
2020	J	`jnl`	Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. CoRR Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
2020	—	`conf`	ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. SIGMOD Conference Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
2020	J	`jnl`	Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying. Patterns Doris Jung Lin Lee, Tarique Siddiqui, Karrie Karahalios, Aditya G. Parameswaran
2020	J	`jnl`	Towards Scalable Dataframe Systems. CoRR Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2020	J	`jnl`	Towards Scalable Dataframe Systems. Proc. VLDB Endow. Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2020	J	`jnl`	Uncovering Effective Explanations for Interactive Genomic Data Analysis. Patterns Silu Huang, Charles Blatti, Saurabh Sinha, Aditya G. Parameswaran
2020	J	`jnl`	You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems. IEEE Trans. Vis. Comput. Graph. Doris Jung Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya G. Parameswaran
2019	J	`jnl`	A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. IEEE Data Eng. Bull. Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran
2019	J	`jnl`	An Exploratory User Study of Visual Causality Analysis. Comput. Graph. Forum Chi-Hsien (Eric) Yen, Aditya G. Parameswaran, Wai-Tat Fu
2019	—	`conf`	Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation. SIGMOD Conference Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya G. Parameswaran
2019	A	`conf`	Avoiding drill-down fallacies with IUI Doris Jung Lin Lee, Himel Dev, Huizi Hu, Hazem Elmeleegy, Aditya G. Parameswaran
2019	A	`conf`	CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. CIKM Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran
2019	J	`jnl`	Enabling Data Science for the Majority. Proc. VLDB Endow. Aditya G. Parameswaran
2019	A*	`conf`	Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE Mangesh Bendre, Tana Wattanawaroon, Sajjadur Rahman, Kelly Mack, Yuyang Liu, Shichu Zhu, Yu Lu, Ping-Jing Yang, Xinyan Zhou, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
2019	J	`jnl`	Interactive Data Exploration with Smart Drill-Down. IEEE Trans. Knowl. Data Eng. Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2019	J	`jnl`	SCATTERSEARCH: Visual Querying of Scatterplot Visualizations. CoRR Doris Jung Lin Lee, Jaewoo Kim, Renxuan Wang, Aditya G. Parameswaran
2018	—	`conf`	Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. DEEM@SIGMOD Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. CoRR Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Adaptive Sampling for Rapidly Matching Histograms. Proc. VLDB Endow. Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
2018	—	`conf`	Aggregating Crowdsourced Image Segmentations. HCOMP (WIP&Demo) Doris Jung Lin Lee, Akash Das Sarma, Aditya G. Parameswaran
2018	J	`jnl`	Automatic email response suggestion for support departments within a university. PeerJ Prepr. Aditya G. Parameswaran, Dibyendu Mishra, Sanchit Bansal, Vinayak Agarwal, Anjali Goyal, Ashish Sureka
2018	—	`conf`	Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CHI Extended Abstracts Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
2018	J	`jnl`	Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CoRR Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
2018	—	`conf`	DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis. SIGMOD Conference Günce Su Yilmaz, Tana Wattanawaroon, Liqi Xu, Abhishek Nigam, Aaron J. Elmore, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Accelerating Human-in-the-loop Machine Learning. CoRR Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Accelerating Human-in-the-loop Machine Learning. Proc. VLDB Endow. Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Holistic Optimization for Accelerating Iterative Machine Learning. CoRR Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Helix: Holistic Optimization for Accelerating Iterative Machine Learning. Proc. VLDB Endow. Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
2018	A	`conf`	Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties. CIKM Shreya Rajpal, Aditya G. Parameswaran
2018	J	`jnl`	How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature. CoRR Doris Xin, Litian Ma, Shuchen Song, Aditya G. Parameswaran
2018	J	`jnl`	Low-Norm Graph Embedding. CoRR Yihan Gao, Chao Zhang, Jian Peng, Aditya G. Parameswaran
2018	—	`conf`	Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets. SIGMOD Conference Yihan Gao, Silu Huang, Aditya G. Parameswaran
2018	—	`conf`	Optimally Leveraging Density and Locality for Exploratory Browsing and Sampling. HILDA@SIGMOD Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Samuel Madden, Aditya G. Parameswaran
2018	J	`jnl`	ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. CoRR Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya G. Parameswaran
2018	J	`jnl`	ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations. Proc. VLDB Endow. Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
2018	J	`jnl`	The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration. IEEE Data Eng. Bull. Doris Jung Lin Lee, Aditya G. Parameswaran
2018	A*	`conf`	Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. ICDE Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
2018	J	`jnl`	Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts. CoRR Tana Wattanawaroon, Stephen Macke, Aditya G. Parameswaran
2017	J	`jnl`	Accelerating Scientific Data Exploration via Visual Query Systems. CoRR Doris Jung Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya G. Parameswaran
2017	J	`jnl`	Adaptive Sampling for Rapidly Matching Histograms. CoRR Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
2017	A	`conf`	Fast-Forwarding to Desired Visualizations with Zenvisage. CIDR Tarique Siddiqui, John Lee, Albert Kim, Edward Xue, Xiaofo Yu, Sean Zou, Lijin Guo, Changfeng Liu, Chaoran Wang, Karrie Karahalios, Aditya G. Parameswaran
2017	J	`jnl`	I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making. Proc. VLDB Endow. Sajjadur Rahman, Maryam Aliakbarpour, Hidy Kong, Eric Blais, Karrie Karahalios, Aditya G. Parameswaran, Ronitt Rubinfeld
2017	J	`jnl`	Letter from the 2017 IEEE TCDE Early Career Award Winner. IEEE Data Eng. Bull. Aditya G. Parameswaran
2017	J	`jnl`	Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets. CoRR Yihan Gao, Silu Huang, Aditya G. Parameswaran
2017	A	`conf`	On the Interpretability of Conditional Probability Estimates in the Agnostic Setting. AISTATS Yihan Gao, Aditya G. Parameswaran, Jian Peng
2017	—	`conf`	OrpheusDB: A Lightweight Approach to Relational Dataset Versioning. SIGMOD Conference Liqi Xu, Silu Huang, SiLi Hui, Aaron J. Elmore, Aditya G. Parameswaran
2017	J	`jnl`	OrpheusDB: Bolt-on Versioning for Relational Databases. CoRR Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
2017	J	`jnl`	OrpheusDB: Bolt-on Versioning for Relational Databases. Proc. VLDB Endow. Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
2017	—	`ed.`	Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, HILDA@SIGMOD 2017, Chicago, IL, USA, May 14, 2017 HILDA@SIGMOD Carsten Binnig, Joseph M. Hellerstein, Aditya G. Parameswaran
2017	—	`conf`	SLiMFast: Guaranteed Results for Data Fusion and Source Reliability. SIGMOD Conference Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2017	J	`jnl`	Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. CoRR Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
2017	J	`jnl`	Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. CoRR Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
2017	J	`jnl`	Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. Proc. VLDB Endow. Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
2016	J	`jnl`	Challenges in Data Crowdsourcing. IEEE Trans. Knowl. Data Eng. Hector Garcia-Molina, Manas Joglekar, Adam Marcus, Aditya G. Parameswaran, Vasilis Verroios
2016	J	`jnl`	Decibel: The Relational Dataset Branching System. Proc. VLDB Endow. Michael Maddox, David Goehring, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran, Amol Deshpande
2016	J	`jnl`	Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System. Proc. VLDB Endow. Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya G. Parameswaran
2016	A	`conf`	FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. CIKM Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han
2016	A*	`conf`	Interactive data exploration with smart drill-down. ICDE Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2016	J	`jnl`	It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora. CoRR Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram
2016	J	`jnl`	Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management. CoRR Aditya G. Parameswaran, Akash Das Sarma, Vipul Venkataraman
2016	J	`jnl`	Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management. IEEE Data Eng. Bull. Aditya G. Parameswaran, Akash Das Sarma, Vipul Venkataraman
2016	J	`jnl`	Speedy Browsing and Sampling with NeedleTail. CoRR Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Samuel Madden, Aditya G. Parameswaran
2016	A*	`conf`	Squish: Near-Optimal Compression for Archival of Relational Datasets. KDD Yihan Gao, Aditya G. Parameswaran
2016	J	`jnl`	Squish: Near-Optimal Compression for Archival of Relational Datasets. CoRR Yihan Gao, Aditya G. Parameswaran
2016	—	`conf`	Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting. SIGMOD Conference Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
2016	J	`jnl`	Towards Visualization Recommendation Systems. SIGMOD Rec. Manasi Vartak, Silu Huang, Tarique Siddiqui, Samuel Madden, Aditya G. Parameswaran
2016	J	`jnl`	zenvisage: Effortless Visual Data Exploration. CoRR Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya G. Parameswaran
2015	J	`jnl`	Collaborative Data Analytics with DataHub. Proc. VLDB Endow. Anant P. Bhardwaj, Amol Deshpande, Aaron J. Elmore, David R. Karger, Sam Madden, Aditya G. Parameswaran, Harihar Subramanyam, Eugene Wu, Rebecca Zhang
2015	A*	`conf`	Comprehensive and reliable crowd assessment algorithms. ICDE Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2015	J	`jnl`	CrowdGather: Entity Extraction over Structured Domains. CoRR Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran
2015	J	`jnl`	Crowdsourced Data Management: Industry and Academic Perspectives. Found. Trends Databases Adam Marcus, Aditya G. Parameswaran
2015	J	`jnl`	DATASPREAD: Unifying Databases and Spreadsheets. Proc. VLDB Endow. Mangesh Bendre, Bofan Sun, Ding Zhang, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
2015	A	`conf`	DataHub: Collaborative Data Science & Dataset Version Management at Scale. CIDR Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran
2015	A*	`conf`	Debiasing Crowdsourced Batches. KDD Honglei Zhuang, Aditya G. Parameswaran, Dan Roth, Jiawei Han
2015	—	`conf`	Exploiting Correlations for Expensive Predicate Evaluation. SIGMOD Conference Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2015	J	`jnl`	Exploiting Features for Data Source Quality Estimation. CoRR Manas Joglekar, Theodoros Rekatsinas, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2015	—	`conf`	GeoHashViz: interactive analytics for mapping spatiotemporal diffusion of Twitter hashtags. XSEDE Kiumars Soltani, Aditya G. Parameswaran, Shaowen Wang
2015	J	`jnl`	Globally Optimal Crowdsourcing Quality Management: Full technical report. CoRR Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
2015	J	`jnl`	On the Uniform Convergence of Consistent Confidence Measures. CoRR Yihan Gao, Aditya G. Parameswaran
2015	J	`jnl`	Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff. CoRR Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya G. Parameswaran
2015	J	`jnl`	Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff. Proc. VLDB Endow. Souvik Bhattacherjee, Amit Chavan, Silu Huang, Amol Deshpande, Aditya G. Parameswaran
2015	J	`jnl`	Rapid Sampling for Visualizations with Ordering Guarantees. Proc. VLDB Endow. Albert Kim, Eric Blais, Aditya G. Parameswaran, Piotr Indyk, Samuel Madden, Ronitt Rubinfeld
2015	J	`jnl`	SEEDB: Efficient Data-Driven Visualization Recommendations to Support Visual Analytics. Proc. VLDB Endow. Manasi Vartak, Sajjadur Rahman, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis
2015	J	`jnl`	Smart Drill-Down: A New Data Exploration Operator. Proc. VLDB Endow. Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2015	B	`conf`	Surpassing Humans and Computers with JELLYBEAN: Crowd-Vision-Hybrid Counting Algorithms. HCOMP Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran, Jennifer Widom
2015	—	`conf`	Towards a Unified Query Language for Provenance and Versioning. TaPP Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran
2015	J	`jnl`	Towards a unified query language for provenance and versioning. CoRR Amit Chavan, Silu Huang, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran
2014	J	`jnl`	Comprehensive and Reliable Crowd Assessment Algorithms. CoRR Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2014	A*	`conf`	Crowd-powered find algorithms. ICDE Anish Das Sarma, Aditya G. Parameswaran, Hector Garcia-Molina, Alon Y. Halevy
2014	J	`jnl`	DataHub: Collaborative Data Science & Dataset Version Management at Scale. CoRR Anant P. Bhardwaj, Souvik Bhattacherjee, Amit Chavan, Amol Deshpande, Aaron J. Elmore, Samuel Madden, Aditya G. Parameswaran
2014	—	`conf`	DataSift: a crowd-powered search toolkit. SIGMOD Conference Aditya G. Parameswaran, Ming Han Teh, Hector Garcia-Molina, Jennifer Widom
2014	J	`jnl`	Evaluating the Crowd with Confidence. CoRR Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2014	J	`jnl`	Exploiting Correlations for Expensive Predicate Evaluation. CoRR Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
2014	J	`jnl`	Finish Them!: Pricing Algorithms for Human Computation. CoRR Yihan Gao, Aditya G. Parameswaran
2014	J	`jnl`	Finish Them!: Pricing Algorithms for Human Computation. Proc. VLDB Endow. Yihan Gao, Aditya G. Parameswaran
2014	J	`jnl`	Indexing Cost Sensitive Prediction. CoRR Leilani Battle, Edward Benson, Aditya G. Parameswaran, Eugene Wu
2014	J	`jnl`	Optimal Crowd-Powered Rating and Filtering Algorithms. Proc. VLDB Endow. Aditya G. Parameswaran, Stephen P. Boyd, Hector Garcia-Molina, Ashish Gupta, Neoklis Polyzotis, Jennifer Widom
2014	B	`conf`	Optimal Worker Quality and Answer Estimates in Crowd-Powered Filtering and Rating. HCOMP Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
2014	J	`jnl`	Rapid Sampling for Visualizations with Ordering Guarantees. CoRR Albert Kim, Eric Blais, Aditya G. Parameswaran, Piotr Indyk, Sam Madden, Ronitt Rubinfeld
2014	J	`jnl`	SEEDB: Automatically Generating Query Visualizations. Proc. VLDB Endow. Manasi Vartak, Samuel Madden, Aditya G. Parameswaran, Neoklis Polyzotis
2014	J	`jnl`	Smart Drill Down. CoRR Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2013	J	`jnl`	Active Sampling for Entity Matching with Guarantees. ACM Trans. Knowl. Discov. Data Kedar Bellare, Suresh Iyengar, Aditya G. Parameswaran, Vibhor Rastogi
2013	B	`conf`	DataSift: An Expressive and Accurate Crowd-Powered Search Toolkit. HCOMP Aditya G. Parameswaran, Ming Han Teh, Hector Garcia-Molina, Jennifer Widom
2013	A	`conf`	Efficient parsing-based search over structured data. CIKM Aditya G. Parameswaran, Raghav Kaushik, Arvind Arasu
2013	A*	`conf`	Evaluating the crowd with confidence. KDD Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
2013	—	`—`	Human-powered data management. Aditya G. Parameswaran
2012	A*	`conf`	Active sampling for entity matching. KDD Kedar Bellare, Suresh Iyengar, Aditya G. Parameswaran, Vibhor Rastogi
2012	J	`jnl`	An interview with Surajit Chaudhuri. XRDS Aditya G. Parameswaran
2012	J	`jnl`	An overview of the deco system: data model and query language; query processing and optimization. SIGMOD Rec. Hyunjung Park, Richard Pang, Aditya G. Parameswaran, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom
2012	J	`jnl`	Big data. XRDS Andrew Cron, Huy L. Nguyen, Aditya G. Parameswaran
2012	—	`conf`	CrowdScreen: algorithms for filtering data with humans. SIGMOD Conference Aditya G. Parameswaran, Hector Garcia-Molina, Hyunjung Park, Neoklis Polyzotis, Aditya Ramesh, Jennifer Widom
2012	J	`jnl`	Deco: A System for Declarative Crowdsourcing. Proc. VLDB Endow. Hyunjung Park, Richard Pang, Aditya G. Parameswaran, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom
2012	A	`conf`	Deco: declarative crowdsourcing. CIKM Aditya G. Parameswaran, Hyunjung Park, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom
2012	A*	`conf`	Fuzzy Joins Using MapReduce. ICDE Foto N. Afrati, Anish Das Sarma, David Menestrina, Aditya G. Parameswaran, Jeffrey D. Ullman
2012	—	`conf`	Minimizing Uncertainty in Pipelines. NIPS Nilesh N. Dalvi, Aditya G. Parameswaran, Vibhor Rastogi
2012	—	`conf`	So who won?: dynamic max discovery with the crowd. SIGMOD Conference Stephen Guo, Aditya G. Parameswaran, Hector Garcia-Molina
2011	A	`conf`	Answering Queries using Humans, Algorithms and Databases. CIDR Aditya G. Parameswaran, Neoklis Polyzotis
2011	J	`jnl`	Human-Assisted Graph Search: It's Okay to Ask Questions CoRR Aditya G. Parameswaran, Anish Das Sarma, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom
2011	J	`jnl`	Human-assisted graph search: it's okay to ask questions. Proc. VLDB Endow. Aditya G. Parameswaran, Anish Das Sarma, Hector Garcia-Molina, Neoklis Polyzotis, Jennifer Widom
2011	J	`jnl`	Information seeking: convergence of search, recommendations, and advertising. Commun. ACM Hector Garcia-Molina, Georgia Koutrika, Aditya G. Parameswaran
2011	J	`jnl`	Optimal Schemes for Robust Web Extraction. Proc. VLDB Endow. Aditya G. Parameswaran, Nilesh N. Dalvi, Hector Garcia-Molina, Rajeev Rastogi
2011	J	`jnl`	Recommendation systems with complex constraints: A course recommendation perspective. ACM Trans. Inf. Syst. Aditya G. Parameswaran, Petros Venetis, Hector Garcia-Molina
2010	A	`conf`	Evaluating, combining and generalizing recommendations with prerequisites. CIKM Aditya G. Parameswaran, Hector Garcia-Molina, Jeffrey D. Ullman
2010	—	`conf`	Recsplorer: recommendation algorithms based on precedence mining. SIGMOD Conference Aditya G. Parameswaran, Georgia Koutrika, Benjamin Bercovitz, Hector Garcia-Molina
2010	A	`conf`	Synthesizing view definitions from data. ICDT Anish Das Sarma, Aditya G. Parameswaran, Hector Garcia-Molina, Jennifer Widom
2010	J	`jnl`	Towards The Web of Concepts: Extracting Concepts from Large Datasets. Proc. VLDB Endow. Aditya G. Parameswaran, Hector Garcia-Molina, Anand Rajaraman
2009	A	`conf`	Blogs as Predictors of Movie Success. ICWSM Eldar Sadikov, Aditya G. Parameswaran, Petros Venetis
2009	A	`conf`	Recommendations with prerequisites. RecSys Aditya G. Parameswaran, Hector Garcia-Molina
2009	J	`jnl`	Social sites research through CourseRank. SIGMOD Rec. Benjamin Bercovitz, Filip Kaliszan, Georgia Koutrika, Henry Liou, Aditya G. Parameswaran, Petros Venetis, Zahra Mohammadi Zadeh, Hector Garcia-Molina
2008	—	`conf`	Robust construction of the three-dimensional flow complex. SCG Frédéric Cazals, Aditya G. Parameswaran, Sylvain Pion