Jonathan Gomez Martinez was recently awarded the first runner-up for the Nunamaker-Chen Dissertation Award for outstanding dissertation research for his work on the unintended consequences of digital platform policy.
Vishal Gupta has a paper forthcoming for publication in Advances in Neural Information Processing Systems (NeurIPS) with his former PhD student Michael Huang titled, “Decision-Focused Learning with Directional Gradients.”
Chamsi Hssaine’s paper, “Online Fair Allocation of Perishable Resources,” was selected as a finalist for the 2024 INFORMS Service Science Best Diversity, Equity, Inclusion, and Justice Paper Competition.
Mladen Kolar has a paper forthcoming for publication in the Journal of Machine Learning Research titled, “Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning.”
Matteo Sesia’s paper “Uncertainty in Language Models: Assessment Through Rank-Calibration” has been accepted by the 2024 Conference on Empirical Methods in Natural Language Processing. He also had a research proposal selected for funding by the USC-Capital One Center for Responsible AI Decision Making in Finance (CREDIF).
Matteo Sesia and Yanfei Zhou PhD have a paper forthcoming for publication in Advances in Neural Information Processing Systems (NeurIPS) titled, “Conformal Classification with Equalized Coverage for Adaptively Selected Groups.”
Peng Shi was named one of the recipients of the INFORMS Frederick W. Lanchester Prize, “awarded for the best contribution to operations research and the management sciences published in English in the past five years.”
Nick Vyas spoke during a briefing for House and Senate legislative staffers on industry efforts and public policy to support circular supply chains in Washington, D.C.
Waverly Wei has two papers forthcoming for publication in Advances in Neural Information Processing Systems (NeurIPS): “Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes” and “Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments.”