Aditya G. Parameswaran

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 111

Top Venues

Publications

Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
Revisiting Prompt Engineering via Declarative Crowdsourcing. CIDR (2024)
Madelon Hulsebos, Wenjing Lin, Shreya Shankar, Aditya G. Parameswaran
It Took Longer than I was Expecting: Why is Dataset Search Still so Hard? HILDA@SIGMOD (2024)
Shreya Shankar, Aditya G. Parameswaran
Building Reactive Large Language Model Pipelines with Motion. SIGMOD Conference Companion (2024)
Shreya Shankar, Haotian Li, Parth Asawa, Madelon Hulsebos, Yiming Lin, J. D. Zamfirescu-Pereira, Harrison Chase, Will Fu-Hinthorn, Aditya G. Parameswaran, Eugene Wu
SPADE: Synthesizing Assertions for Large Language Model Pipelines. CoRR (2024)
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning. CoRR (2024)
Shreya Shankar, J. D. Zamfirescu-Pereira, Björn Hartmann, Aditya G. Parameswaran, Ian Arawjo
Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences. CoRR (2024)
Yiming Lin, Madelon Hulsebos, Ruiying Ma, Shreya Shankar, Sepanta Zeighami, Aditya G. Parameswaran, Eugene Wu
Towards Accurate and Efficient Document Analytics with Large Language Models. CoRR (2024)
Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran
Efficient and Compact Spreadsheet Formula Graphs. CoRR (2023)
Fanchao Chen, Dixin Tang, Haotian Li, Aditya G. Parameswaran
Visualizing Spreadsheet Formula Graphs Compactly. Proc. VLDB Endow. 16 (12) (2023)
Aditya G. Parameswaran, Shreya Shankar, Parth Asawa, Naman Jain, Yujie Wang
Revisiting Prompt Engineering via Declarative Crowdsourcing. CoRR (2023)
Dixin Tang, Alan D. Fekete, Indranil Gupta, Aditya G. Parameswaran
Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces. Proc. VLDB Endow. 16 (6) (2023)
Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
Automatic and Precise Data Validation for Machine Learning. CIKM (2023)
Dixin Tang, Fanchao Chen, Christopher De Leon, Tana Wattanawaroon, Jeaseok Yun, Srinivasan Seshadri, Aditya G. Parameswaran
Efficient and Compact Spreadsheet Formula Graphs. ICDE (2023)
Dixin Tang, Alan D. Fekete, Indranil Gupta, Aditya G. Parameswaran
Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces. CoRR (2023)
Shreya Shankar, Labib Fawaz, Karl Gyllstrom, Aditya G. Parameswaran
Moving Fast With Broken Data. CoRR (2023)
Shreya Shankar, Aditya G. Parameswaran
Towards Observability for Production Machine Learning Pipelines [Vision]. Proc. VLDB Endow. 15 (13) (2022)
Sarah 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
The Sky Above The Clouds. CoRR (2022)
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
Expressive querying for accelerating visual analytics. Commun. ACM 65 (7) (2022)
Will Epperson, Doris Jung Lin Lee, Leijie Wang, Kunal Agarwal, Aditya G. Parameswaran, Dominik Moritz, Adam Perer
Leveraging Analysis History for Improved In Situ Visualization Recommendation. Comput. Graph. Forum 41 (3) (2022)
Shreya Shankar, Aditya G. Parameswaran
Towards Observability for Machine Learning Pipelines. CIDR (2022)
Shreya Shankar, Stephen Macke, Sarah Chasins, Andrew Head, Aditya G. Parameswaran
Bolt-on, Compact, and Rapid Program Slicing for Notebooks [Scalable Data Science]. Proc. VLDB Endow. 15 (13) (2022)
Joseph M. Hellerstein, Aditya G. Parameswaran
Piloting Data Engineering at Berkeley. DataEd@SIGMOD (2022)
Shreya Shankar, Rolando Garcia, Joseph M. Hellerstein, Aditya G. Parameswaran
Operationalizing Machine Learning: An Interview Study. CoRR (2022)
Shreya Shankar, Bernease Herman, Aditya G. Parameswaran
Rethinking Streaming Machine Learning Evaluation. CoRR (2022)
Doris Jung Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya G. Parameswaran
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study. IEEE Trans. Vis. Comput. Graph. 28 (12) (2022)
Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CHI (2021)
Stephen Macke, Aditya G. Parameswaran, Hongpu Gong, Doris Jung Lin Lee, Doris Xin, Andrew Head
Fine-Grained Lineage for Safer Notebook Interactions. Proc. VLDB Endow. 14 (6) (2021)
Devin Petersohn, Dixin Tang, Rehan Sohail Durrani, Areg Melik-Adamyan, Joseph Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran
Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System. Proc. VLDB Endow. 15 (3) (2021)
Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. CoRR (2021)
Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. IEEE Data Eng. Bull. 44 (1) (2021)
Sajjadur Rahman, Mangesh Bendre, Yuyang Liu, Shichu Zhu, Zhaoyuan Su, Karrie Karahalios, Aditya G. Parameswaran
NOAH: Interactive Spreadsheet Exploration with Dynamic Hierarchical Overviews. Proc. VLDB Endow. 14 (6) (2021)
Doris Jung Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya G. Parameswaran
Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study. CoRR (2021)
Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. ICDE (2021)
Doris Xin, Devin Petersohn, Dixin Tang, Yifan Wu, Joseph E. Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
Enhancing the Interactivity of Dataframe Queries by Leveraging Think Time. CoRR (2021)
Doris Xin, Eva Yiwei Wu, Doris Jung Lin Lee, Niloufar Salehi, Aditya G. Parameswaran
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows. CoRR (2021)
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
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows. Proc. VLDB Endow. 15 (3) (2021)
Doris Xin, Hui Miao, Aditya G. Parameswaran, Neoklis Polyzotis
Production Machine Learning Pipelines: Empirical Analysis and Optimization Opportunities. SIGMOD Conference (2021)
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
From Sketching to Natural Language: Expressive Visual Querying for Accelerating Insight. SIGMOD Rec. 50 (1) (2021)
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
Lux: Always-on Visualization Recommendations for Exploratory Data Science. CoRR (2021)
Aditya G. Parameswaran
Democratizing Data Science and Lessons Learned Along the Way. PhD@VLDB (2020)
Stephen Macke, Maryam Aliakbarpour, Ilias Diakonikolas, Aditya G. Parameswaran, Ronitt Rubinfeld
Rapid Approximate Aggregation with Distribution-Sensitive Interval Guarantees. CoRR (2020)
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
Towards Scalable Dataframe Systems. Proc. VLDB Endow. 13 (11) (2020)
Stephen Macke, Hongpu Gong, Doris Jung Lin Lee, Andrew Head, Doris Xin, Aditya G. Parameswaran
Fine-Grained Lineage for Safer Notebook Interactions. CoRR (2020)
Doris Jung Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya G. Parameswaran
You can't always sketch what you want: Understanding Sensemaking in Visual Query Systems. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Silu Huang, Charles Blatti, Saurabh Sinha, Aditya G. Parameswaran
Uncovering Effective Explanations for Interactive Genomic Data Analysis. Patterns 1 (6) (2020)
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. SIGMOD Conference (2020)
Angela Lee, Doris Xin, Doris Lee, Aditya G. Parameswaran
Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development. CoRR (2020)
Doris Jung Lin Lee, Tarique Siddiqui, Karrie Karahalios, Aditya G. Parameswaran
Three Lessons from Accelerating Scientific Insight Discovery via Visual Querying. Patterns 1 (7) (2020)
Sajjadur Rahman, Kelly Mack, Mangesh Bendre, Ruilin Zhang, Karrie Karahalios, Aditya G. Parameswaran
Benchmarking Spreadsheet Systems. SIGMOD Conference (2020)
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
Towards Scalable Dataframe Systems. CoRR (2020)
Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
$\varvec{\textsc {Orpheus}}$DB: bolt-on versioning for relational databases (extended version). VLDB J. 29 (1) (2020)
Chi-Hsien (Eric) Yen, Aditya G. Parameswaran, Wai-Tat Fu
An Exploratory User Study of Visual Causality Analysis. Comput. Graph. Forum 38 (3) (2019)
Aditya G. Parameswaran
Enabling Data Science for the Majority. Proc. VLDB Endow. 12 (12) (2019)
Doris Jung Lin Lee, Stephen Macke, Doris Xin, Angela Lee, Silu Huang, Aditya G. Parameswaran
A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead. IEEE Data Eng. Bull. 42 (2) (2019)
Doris Jung Lin Lee, Himel Dev, Huizi Hu, Hazem Elmeleegy, Aditya G. Parameswaran
: assisted exploration of data subsets. IUI (2019)
Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya G. Parameswaran
Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation. SIGMOD Conference (2019)
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
Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE (2019)
Doris Jung Lin Lee, Jaewoo Kim, Renxuan Wang, Aditya G. Parameswaran
SCATTERSEARCH: Visual Querying of Scatterplot Visualizations. CoRR (2019)
Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran
Interactive Data Exploration with Smart Drill-Down. IEEE Trans. Knowl. Data Eng. 31 (1) (2019)
Theodoros Rekatsinas, Amol Deshpande, Aditya G. Parameswaran
CRUX: Adaptive Querying for Efficient Crowdsourced Data Extraction. CIKM (2019)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. DEEM@SIGMOD (2018)
Günce Su Yilmaz, Tana Wattanawaroon, Liqi Xu, Abhishek Nigam, Aaron J. Elmore, Aditya G. Parameswaran
DataDiff: User-Interpretable Data Transformation Summaries for Collaborative Data Analysis. SIGMOD Conference (2018)
Albert Kim, Liqi Xu, Tarique Siddiqui, Silu Huang, Samuel Madden, Aditya G. Parameswaran
Optimally Leveraging Density and Locality for Exploratory Browsing and Sampling. HILDA@SIGMOD (2018)
Yihan Gao, Silu Huang, Aditya G. Parameswaran
Navigating the Data Lake with DATAMARAN: Automatically Extracting Structure from Log Datasets. SIGMOD Conference (2018)
Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CoRR (2018)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Helix: Accelerating Human-in-the-loop Machine Learning. CoRR (2018)
Aditya G. Parameswaran, Dibyendu Mishra, Sanchit Bansal, Vinayak Agarwal, Anjali Goyal, Ashish Sureka
Automatic email response suggestion for support departments within a university. PeerJ Prepr. 6 (2018)
Shreya Rajpal, Aditya G. Parameswaran
Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties. CIKM (2018)
Tarique Siddiqui, Zesheng Wang, Paul Luh, Karrie Karahalios, Aditya G. Parameswaran
ShapeSearch: A Flexible and Efficient System for Shape-based Exploration of Trendlines. CoRR (2018)
Doris Jung Lin Lee, Akash Das Sarma, Aditya G. Parameswaran
Aggregating Crowdsourced Image Segmentations. HCOMP (WIP&Demo) (2018)
Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
Helix: Holistic Optimization for Accelerating Iterative Machine Learning. Proc. VLDB Endow. 12 (4) (2018)
Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CHI Extended Abstracts (2018)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Helix: Accelerating Human-in-the-loop Machine Learning. Proc. VLDB Endow. 11 (12) (2018)
Doris Xin, Stephen Macke, Litian Ma, Jialin Liu, Shuchen Song, Aditya G. Parameswaran
Helix: Holistic Optimization for Accelerating Iterative Machine Learning. CoRR (2018)
Doris Xin, Litian Ma, Jialin Liu, Stephen Macke, Shuchen Song, Aditya G. Parameswaran
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities. CoRR (2018)
Yihan Gao, Chao Zhang, Jian Peng, Aditya G. Parameswaran
Low-Norm Graph Embedding. CoRR (2018)
Doris Jung Lin Lee, Aditya G. Parameswaran
The Case for a Visual Discovery Assistant: A Holistic Solution for Accelerating Visual Data Exploration. IEEE Data Eng. Bull. 41 (3) (2018)
Doris Xin, Litian Ma, Shuchen Song, Aditya G. Parameswaran
How Developers Iterate on Machine Learning Workflows - A Survey of the Applied Machine Learning Literature. CoRR (2018)
Tarique Siddiqui, Paul Luh, Zesheng Wang, Karrie Karahalios, Aditya G. Parameswaran
ShapeSearch: Flexible Pattern-based Querying of Trend Line Visualizations. Proc. VLDB Endow. 11 (12) (2018)
Tana Wattanawaroon, Stephen Macke, Aditya G. Parameswaran
Towards a Theory of Data-Diff: Optimal Synthesis of Succinct Data Modification Scripts. CoRR (2018)
Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
Adaptive Sampling for Rapidly Matching Histograms. Proc. VLDB Endow. 11 (10) (2018)
Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. ICDE (2018)
Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. CoRR (2017)
Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
OrpheusDB: Bolt-on Versioning for Relational Databases. Proc. VLDB Endow. 10 (10) (2017)
Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. Proc. VLDB Endow. 10 (7) (2017)
Liqi Xu, Silu Huang, SiLi Hui, Aaron J. Elmore, Aditya G. Parameswaran
OrpheusDB: A Lightweight Approach to Relational Dataset Versioning. SIGMOD Conference (2017)
Stephen Macke, Yiming Zhang, Silu Huang, Aditya G. Parameswaran
Adaptive Sampling for Rapidly Matching Histograms. CoRR (2017)
Yihan Gao, Aditya G. Parameswaran, Jian Peng
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting. AISTATS (2017)
Theodoros Rekatsinas, Manas Joglekar, Hector Garcia-Molina, Aditya G. Parameswaran, Christopher Ré
SLiMFast: Guaranteed Results for Data Fusion and Source Reliability. SIGMOD Conference (2017)
Silu Huang, Liqi Xu, Jialin Liu, Aaron J. Elmore, Aditya G. Parameswaran
OrpheusDB: Bolt-on Versioning for Relational Databases. CoRR (2017)
Yihan Gao, Silu Huang, Aditya G. Parameswaran
Navigating the Data Lake with Datamaran: Automatically Extracting Structure from Log Datasets. CoRR (2017)
Aditya G. Parameswaran
Letter from the 2017 IEEE TCDE Early Career Award Winner. IEEE Data Eng. Bull. 40 (3) (2017)
Tarique Siddiqui, John Lee, Albert Kim, Edward Xue, Xiaofo Yu, Sean Zou, Lijin Guo, Changfeng Liu, Chaoran Wang, Karrie Karahalios, Aditya G. Parameswaran
Fast-Forwarding to Desired Visualizations with Zenvisage. CIDR (2017)
Sajjadur Rahman, Maryam Aliakbarpour, Hidy Kong, Eric Blais, Karrie Karahalios, Aditya G. Parameswaran, Ronitt Rubinfeld
I've Seen "Enough": Incrementally Improving Visualizations to Support Rapid Decision Making. Proc. VLDB Endow. 10 (11) (2017)
Ayush Jain, Akash Das Sarma, Aditya G. Parameswaran, Jennifer Widom
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace. CoRR (2017)
Doris Jung Lin Lee, John Lee, Tarique Siddiqui, Jaewoo Kim, Karrie Karahalios, Aditya G. Parameswaran
Accelerating Scientific Data Exploration via Visual Query Systems. CoRR (2017)
Tarique Siddiqui, Albert Kim, John Lee, Karrie Karahalios, Aditya G. Parameswaran
zenvisage: Effortless Visual Data Exploration. CoRR (2016)
Ayush Jain, Joon Young Seo, Karan Goel, Andrew Kuznetsov, Aditya G. Parameswaran, Hari Sundaram
It's just a matter of perspective(s): Crowd-Powered Consensus Organization of Corpora. CoRR (2016)
Aditya G. Parameswaran, Akash Das Sarma, Vipul Venkataraman
Optimizing Open-Ended Crowdsourcing: The Next Frontier in Crowdsourced Data Management. IEEE Data Eng. Bull. 39 (4) (2016)

Aditya G. Parameswaran.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Aditya G. Parameswaran