Conformal Inverse Optimization for Adherence-Aware Prescriptive Analytics
References
- (2001) Inverse optimization. Oper. Res. 49(5):771–783.Link, Google Scholar
- (2025) An O(n) algorithm for generating uniform random vectors in n-dimensional cones. Sankhya A 87:327–348.Crossref, Google Scholar
- (2018) Inverse optimization with noisy data. Oper. Res. 66(3):870–892.Link, Google Scholar
- (2019) Data-driven incentive design in the Medicare shared savings program. Oper. Res. 67(4):1002–1026.Abstract, Google Scholar
- (2020) Knowledge-based automated planning with three-dimensional generative adversarial networks. Medical Phys. 47(2):297–306.Crossref, Google Scholar
- (2018) An online-learning approach to inverse optimization. Preprint, submitted October 30, https://arxiv.org/abs/1810.12997.Google Scholar
- (2025) Improving human sequential decision making with reinforcement learning. Management Sci. 72(1):733–755.Link, Google Scholar
- (1999) Robust solutions of uncertain linear programs. Oper. Res. Lett. 25(1):1–13.Crossref, Google Scholar
- (2000) Robust solutions of linear programming problems contaminated with uncertain data. Math. Programming 88:411–424.Crossref, Google Scholar
- (2020) Learning with differentiable perturbed optimizers. Adv. Neural Inform. Processing Systems, vol. 33 (Curran Associates Inc., Red Hook, NY), 9508–9519.Google Scholar
- (2004) The price of robustness. Oper. Res. 52(1):35–53.Link, Google Scholar
- (2018) Data-driven robust optimization. Math. Programming 167:235–292.Crossref, Google Scholar
- (2015) Data-driven estimation in equilibrium using inverse optimization. Math. Programming 153:595–633.Crossref, Google Scholar
- (2004) Robust linear optimization under general norms. Oper. Res. Lett. 32(6):510–516.Crossref, Google Scholar
- (2025) Contextual inverse optimization: Offline and online learning. Oper. Res. 73(1):424–443.Link, Google Scholar
- (2022a) Stochastic inverse optimization. Accessed January 20, 2024, https://perma.cc/8T8L-MZZE.Google Scholar
- (2022b) Spatial price integration in commodity markets with capacitated transportation networks. Oper. Res. 70(3):1739–1761.Link, Google Scholar
- (1992) On an instance of the inverse shortest paths problem. Math. Programming 53(1):45–61.Crossref, Google Scholar
- (2020) A systematic review of algorithm aversion in augmented decision making. J. Behav. Decision Making 33(2):220–239.Crossref, Google Scholar
- (2020) Inverse optimization for the recovery of constraint parameters. Eur. J. Oper. Res. 282(2):415–427.Crossref, Google Scholar
- (2019) Inverse optimization: Closed-form solutions, geometry, and goodness of fit. Management Sci. 65(3):1115–1135.Link, Google Scholar
- (2023a) Inverse optimization: Theory and applications. Oper. Res. 73(2):1046–1074.Link, Google Scholar
- (2014) Generalized inverse multiobjective optimization with application to cancer therapy. Oper. Res. 62(3):680–695.Link, Google Scholar
- (2023b) Got (optimal) milk? Pooling donations in human milk banks with machine learning and optimization. Manufacturing Service Oper. Management 27(6):1721–1739.Link, Google Scholar
- (2025) Combining forecasts from multiple experts for multiple variables. Management Sci. 72(8):6542–6558.Link, Google Scholar
- (2023) Understanding the role of human intuition on reliance in human-AI decision-making with explanations. Proc. ACM Human-Comput. Interaction, vol. 7, 1–32.Google Scholar
- (2025) Robust data-driven CARA optimization. Preprint, submitted February 24, https://doi.org/10.2139/ssrn.5130565.Google Scholar
- (2022) Data-driven conditional robust optimization. Adv. Neural Inform. Processing Systems, vol. 35, 9525–9537.Google Scholar
- (2022) Interpretable optimal stopping. Management Sci. 68(3):1616–1638.Link, Google Scholar
- City of Toronto (2020) City of Toronto open data. Accessed September 15, 2020, https://open.toronto.ca/.Google Scholar
- (2010) Distributionally robust optimization under moment uncertainty with application to data-driven problems. Oper. Res. 58(3):595–612.Link, Google Scholar
- (2018) Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Sci. 64(3):1155–1170.Link, Google Scholar
- (2021) Wasserstein distributionally robust inverse multiobjective optimization. Proc. AAAI Conf. Artificial Intelligence, vol. 35, 5914–5921.Google Scholar
- (2018) Generalized inverse optimization through online learning. Adv. Neural Inform. Processing Systems, vol. 31.Google Scholar
- DoorDash (2024) Bike delivery strategies. Accessed June 12, 2024, https://perma.cc/M98U-A8LC.Google Scholar
- (2022) Smart “predict, then optimize.” Management Sci. 68(1):9–26.Link, Google Scholar
- (2023) Learning for guiding: A pairwise inverse reinforcement learning framework for last-mile deliveries. Preprint, submitted November 30, https://doi.org/10.2139/ssrn.4639706.Google Scholar
- (2023) Distributionally robust stochastic optimization with Wasserstein distance. Math. Oper. Res. 48(2):603–655.Link, Google Scholar
- Global Times (2021) Panicked woman rider jumps out of car, breaking bones; car-hailing platform probed. Accessed August 1, 2024, https://www.globaltimes.cn/page/202106/1226697.shtml.Google Scholar
- (2023) Data-driven robust optimization using deep neural networks. Comput. Oper. Res. 151:106087.Crossref, Google Scholar
- (2024) The best decisions are not the best advice: Making adherence-aware recommendations. Management Sci. 72(1):667–692.Link, Google Scholar
- (1955) Cardinal welfare, individualistic ethics, and interpersonal comparisons of utility. J. Political Econom. 63(4):309–321.Crossref, Google Scholar
- (2021) Learning-based robust optimization: Procedures and statistical guarantees. Management Sci. 67(6):3447–3467.Link, Google Scholar
- (2022) DeepETA: How Uber predicts arrival times using deep learning. Uber engineering blog. Accessed January 19, 2024, https://perma.cc/VBR7-E37Z.Google Scholar
- (2021) When will workers follow an algorithm? A field experiment with a retail business. Management Sci. 67(3):1670–1695.Link, Google Scholar
- (2020) Field experiment on the profit implications of merchants’ discretionary power to override data-driven decision-making tools. Management Sci. 66(11):5182–5190.Link, Google Scholar
- (2016) How much information? Effects of transparency on trust in an algorithmic interface. Proc. 2016 CHI Conf. Human Factors Comput. Systems, 2390–2395.Google Scholar
- (2021) Rational polyhedral outer-approximations of the second-order cone. Discrete Optim. 40:100643.Crossref, Google Scholar
- (2021) The impact of COVID-19 cycling infrastructure on low-stress cycling accessibility: A case study in the City of Toronto. Findings.Crossref, Google Scholar
- (2022) Personalized route recommendation for ride-hailing with deep inverse reinforcement learning and real-time traffic conditions. Transportation Res. Part E Logist. Transportation Rev. 164:102780.Crossref, Google Scholar
- (2021) On-time last-mile delivery: Order assignment with travel-time predictors. Management Sci. 67(7):4095–4119.Link, Google Scholar
- (2024) Planning bike lanes with data: Ridership, congestion, and path selection. Management Sci. 71(9):7631–7654.Link, Google Scholar
- (2023) Algorithm aversion: Evidence from ridesharing drivers. Management Sci. 72(1):193–203.Link, Google Scholar
- (2025) Fat tails in human judgment: Empirical evidence and implications for the aggregation of estimates and forecasts. Management Sci. 72(3):2364–2379.Link, Google Scholar
- (2022) Decision-focused learning: Through the lens of learning to rank. Internat. Conf. Machine Learn. (PMLR), 14935–14947.Google Scholar
- (2025) Human agency in last mile delivery. https://perma.cc/6XM7-7ZJE.Google Scholar
- (2022) 2021 Amazon last mile routing research challenge: Data set. Transportation Sci. 58(1):8–11.Link, Google Scholar
- (2018) Data-driven inverse optimization with imperfect information. Math. Programming 167:191–234.Crossref, Google Scholar
- OpenStreetMap (2017) Planet dump. https://planet.osm.org.Google Scholar
- (2017) Calibrated route finder: Improving the safety, environmental consciousness, and cost effectiveness of truck routing in Sweden. Interfaces 47(5):372–395.Link, Google Scholar
- (2025) A survey of contextual optimization methods for decision-making under uncertainty. Eur. J. Oper. Res. 320(2):271–289.Crossref, Google Scholar
- (2022) Quantile inverse optimization: Improving stability in inverse linear programming. Oper. Res. 70(4):2538–2562.Link, Google Scholar
- (2017) Data-driven robust optimization based on kernel learning. Comput. Chemical Engrg. 106:464–479.Crossref, Google Scholar
- (1955) A behavioral model of rational choice. Quart. J. Econom. 69(1):99–118.Crossref, Google Scholar
- (2023) Predict-then-calibrate: A new perspective of robust contextual LP. Adv. Neural Inform. Processing Systems, vol. 36, 17713–17741.Google Scholar
- (2022) Predicting human discretion to adjust algorithmic prescription: A large-scale field experiment in warehouse operations. Management Sci. 68(2):846–865.Link, Google Scholar
- Travel Modelling Group (2016) GTAModel V4 introduction. Accessed November 20, 2020, https://perma.cc/7CUU-BMHB.Google Scholar
- (2013) Examining the LEED rating system using inverse optimization. J. Solar Energy Engrg. 135(4):040901.Crossref, Google Scholar
- (2005) Algorithmic Learning in a Random World, vol. 29 (Springer).Google Scholar
- (2026) The human-AI-human newsvendor: Behavioral biases, partial adherence and learning. Preprint, submitted January 22, https://doi.org/10.2139/ssrn.5999076.Google Scholar
- (2025) Dispatch or hold? An inverse optimization and reinforcement learning approach for multi-objective on-demand delivery. Preprint, submitted December 1, https://doi.org/10.2139/ssrn.5839702.Google Scholar
- (2018) Modeling crew itineraries and delays in the national air transportation system. Transportation Sci. 52(5):1276–1296.Link, Google Scholar
- (2019) Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization. Proc. AAAI Conf. Artificial Intelligence, vol. 33, 1658–1665.Google Scholar
- (2019) Understanding the effect of accuracy on trust in machine learning models. Proc. 2019 CHI Conf. Human Factors Comput. Systems, 1–12.Google Scholar
- (2023) Inverse optimization and its applications in measuring clinical pathway concordance. Unpublished PhD thesis, University of Toronto, Ontario.Google Scholar
- (2024a) Learning in inverse optimization: Incenter cost, augmented suboptimality loss, and algorithms. Oper. Res. 73(5):2661–2679.Link, Google Scholar
- (2024b) Inverse optimization for routing problems. Transportation Sci. 59(2):301–321.Link, Google Scholar
- (2017) Bike route choice modeling using GPS data without choice sets of paths. Transportation Res. Part C Emerging Tech. 75:183–196.Crossref, Google Scholar

