Scholar
Lalit Jain
Google Scholar ID: hGMSFu4AAAAJ
University of Washington
Citations & Impact
Citations
1,033
H-index
16
i10-index
24
Publications
20
Co-authors
27
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: Multiple papers accepted to AISTATS; Paper accepted to WWW 2024; Justin Weltz's paper accepted to Neurips 2023; Jennifer Brennan received the best paper award at the ICML 2022 workshop on Adaptive Experimental Design in the Real World.
Research Experience
- Assistant Professor at the Foster School of Business, University of Washington; Involved in best-arm identification project at Amazon; Presented work on deploying bandits at Amazon and bandits under endogeneity at Code@MIT; Presented work on Top-Two sampling for linear bandits at Informs 2023; Presented work on pure exploration with heteroskedastic variance at Neurips 2023; Presented work on Pessimistic Multi-Objective Optimization at Amazon's RL Seminar; Attended the Choice Symposium in Fontainebleau; Presented work on adaptive pricing at SICS 2023 and Kellogg School of Business, Northwestern.
Education
- PhD in Mathematics, advised by Professors Jordan Ellenberg and Robert Nowak; Postdoc in Professor Kevin Jamieson's group; Postdoc at the University of Michigan, mentored by Professor Anna Gilbert.
Background
- Research Focus: Developing new machine learning algorithms and systems for practitioners who need to collect expensive experimental data under limited budget constraints. Combining theoretical mathematical insights with practical implementations to develop methods that provide statistical insights in far fewer measurements than naive passive data collection methods. Applications include optimizing crowdfunding and microlending platforms, measuring conceptual perception in cognitive psychology, detecting humor in jokes, and controlling false discovery rate in online experimental platforms.
Miscellany
- Personal Interests: For the last 8 years, involved in running the online crowdsourced voting system for the New Yorker caption contest.
