• V. Goyal, G. Iyengar, and R. Udwani. Online Allocation of Reusable Resources via Algorithms Guided by Fluid Approximations. 2020. arXiv.

  • M-H. Oh, G. Iyengar, and A. Zeevi. Sparsity-Agnostic Lasso Bandit. 2020. arXiv.

  • A. Yadav, Q. Vagne, P. Sens, G. Iyengar, and M. Rao. Glycan processing in the Golgi – optimal information coding and constraints on cisternal number and enzyme specificity. 2020. bioRxiv.

  • G. Iyengar, F. Saleh, J. Sethuraman, and W. Wang. Economics of permissioned blockchain adoption. 2020. SSRN.

  • V. Goyal, G. Iyengar, and R. Udwani. Online allocation of reusable resources: Achieving optimal competitive ratio. 2020. arXiv.

  • R. Singal, O. Besbes, A. Desir, V. Goyal and G. Iyengar. Shapley Meets Uniform: An axiomatic framework for attribution in online advertising. Under revision in Management Science. SSRN. Preliminary version appeared in WWW 2019.

  • C. Kocyigit, G. Iyengar, D. Kuhn, and W. Wiesemann. Distributionally robust mechanism design. Management Science, 66(1):159–189, 2020. SSRN.

  • O. Toubia, G. Iyengar, R. Bunnell, and A. Lemaire. Extracting features of entertainment products: A guided Latent Dirichlet Allocation approach informed by the psychology of media consumption. Journal of Marketing Research, 56(1):18–36, 2019. PDF.

  • R. Mazumder, A. Choudhury, G. Iyengar, and B. Sen. A computational framework for multivariate convex regression and its variants. Journal of the American Statistical Association, 114(525):318–331, 2019. arXiv.

  • M-H. Oh and G. Iyengar. Thompson sampling for multinomial logit contextual bandits. NeurIPS 2019.

  • M-H. Oh and G. Iyengar. Sequential anomaly detection using inverse reinforcement learning. KDD 2019.

  • H. Alsabah, B. Bernard, A. Capponi, G. Iyengar, and J. Sethuraman. Multiregional oligopoly with capacity constraints. Under review in Management Science. SSRN.