Lalit Jain
- Assistant Professor of Marketing and International Business
Education
- PhD University of Wisconsin-Madison
- MA University of Waterloo
- BM University of Waterloo
Academic Expertise
- machine learning
Current Research
- Multi-Armed Bandits, Large Scale Multiple Hypothesis Testing, Crowdfunding and Micro-Lending
Positions Held
- Distinguished Faculty Fellow, Foster Customer Analytics Center
- Assistant Professor, Michael G. Foster School of Business, University of Washington, since 2020
- Postdoc, Computer Science and Engineering, University of Washington, 2018-2020
- Postdoc, Department of Mathematics, University of Washington, 2016-2018
Selected Publications
“Sequential Experimental Design for Transductive Linear Bandits”
Jain, L., Jamieson, K., Ratliff, L., and Fiez, T., (2019). Advances in Neural Information Processing Systems (NeurIPS).
“Firing Bandits: Optimizing Crowdfunding”
Jain, L., and Jamieson, K., (2018). International Conference on Machine Learning (ICML), pp. 2211–2219.
“A Bandit Approach to Sequential Experimental Design with False Discovery Control”
Jain, L., and Jamieson, K., (2018). Advances in Neural Information Processing Systems (NeurIPS), pp. 3660–3670.
“Finite Sample Prediction and Recovery Bounds for Ordinal Embedding”
Jain, L., Jamieson, K. G., and Nowak, R., (2016). Advances in Neural Information Processing Systems (NeurIPS), pp. 2711–2719.