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
“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.
Multi-Armed Bandits, Large Scale Multiple Hypothesis Testing, Crowdfunding and Micro-Lending