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Lalit Jain
Assistant Professor of Marketing and International Business

Education

  • PhD University of Wisconsin-Madison
  • MA University of Waterloo
  • BM University of Waterloo

Expertise

machine learning

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.

Lalit Jain

Academic Department

Marketing & International Business

Current Research

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