Articles in conference proceedings

• S. Shankar, R. Garcia, J. M. Hellerstein, and A. Parameswaran, " "We have no idea how models will behave in production until production": How engineers operationalize machine learning," Vol. 8, 2024.

Masters Reports

• J. Wu, "Smash: A Dictionary-Free String Distance Metric that Considers Acronyms, Abbreviations, and Typos," A. Parameswaran and D. Tang, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-167, May 2023.
• T. Yu, "Efficient Visualization Recommendation under Updates," A. Parameswaran and D. Tang, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2023-116, May 2023.
• P. Mohanty and A. Parameswaran, "A Case Study on COVID-19 Intervention Visualizations: The Role of Trust, Beliefs, and Interpretations," N. Salehi, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-125, May 2022.
• C. De Leon, "TOWARD EFFICIENT SPREADSHEET COMPUTATION AND VISUALIZATION," A. Parameswaran and D. Tang, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2022-67, May 2022.
• A. Arjavalingam, "HASTE: Serverless DAG Execution Optimizer," A. Parameswaran, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2021-181, Aug. 2021.
• N. Kakulawaram and J. Zamfirescu-Pereira, "Spreadsheet Bubbles: Showing Contextually Relevant Data During Formula Editing," B. Hartmann and A. Parameswaran, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2021-145, May 2021.
• R. Lin, "A Spreadsheet Interface for Dataframes," A. Parameswaran, Ed., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2021-107, May 2021.