Theja Tulabandhula, Ph.D.


I am broadly interested in designing and implementing machine learning and sequential decision making methods. I have worked on: (a) supervised learning in the presence of operational information, (b) transportation problems including scheduling and fair ride-sharing, (c) assortment optimization and consumer behavior modeling, (d) new product pricing and learing utility functions, (e) recommendation systems with privacy and regret guarantees, and (f) several online and reinforcement learning problems.


Publications and Patents

In addition to below, you can also find my publications at Arxiv or DBLP or SSRN. For many of these, source code is made available on GitHub. Further, a few of my patents (4+ granted) are listed on Google Patents.

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