Daksh Mittal
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I am a fourth year PhD student in the Decision, Risk and Operations Division at Columbia Business School where I am fortunate to be advised by Prof. Hongseok Namkoong and Prof. Jing Dong. I broadly work at the intersection of artificial intelligence and operations, with a focus on developing AI methodologies for solving large-scale operational problems. Prior to joining Columbia, I was a Research Associate at Tata Institute of Fundamental Research Mumbai, where I had the privilege of being advised by Prof. Sandeep Juneja. Before that, I graduated with a B.Tech in Mechanical Engineering from Indian Institute of Technology, Delhi.
Publications
with Shunri Zheng, Jing Dong and Hongseok Namkoong
📖 Journal version submitted
📓 Preliminary version accepted at NeurIPS, 2025 MLxOR Workshop
with Leon Li, Thomson Yen, Daniel Guetta and Hongseok Namkoong
📓 To appear in NeurIPS, 2025
with Yuanzhe Ma, Shalmali Joshi and Hongseok Namkoong
📖 Journal version submitted
📓 Conference version accepted at NeurIPS, 2024
with Sandeep Juneja and Shubhada Agrawal
📖 Journal version submitted
📓 Accepted as an extended abstract in ACM SIGMETRICS Performance Evaluation Review, 2023
📓 Accepted for oral presentation at Workshop on Autonomous Agents for Social Good (AASG), 2023
with Sandeep Juneja
📓 Accepted at Winter Simulation Conference, 2022
Working Papers
Sequence models for Bayesian Adaptive MDPs
with Eric Chen, Hongseok Namkoong and Assaf Zeevi
Smoothed-pathwise gradient for Markov Chains
with Ethan Che, Peter Glynn and Hongseok Namkoong
Technical Reports
with Prahladh Harsha, Sandeep Juneja and Ramprasad Saptharishi
with Sandeep Juneja
with Sandeep Juneja
with Achintya Eeshan, Sandeep Juneja, Amey Noolkar, Ramprasad Saptharishi, Piyush Srivastava
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