Discrete Choice Modeling

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Overview

The field models choices among options in settings such as travel, retail, healthcare, and online rankings, to explain preferences and predict decisions. Core approaches include random-utility models such as multinomial logit and probit, Plackett–Luce ranking models, mixtures, and panel models; these also support tasks like assortment design and choice-based experimentation. Neural networks, graph models, and foundation models are increasingly used to capture complex interactions and individual differences, sometimes alongside reinforcement learning for model selection or sequential decisions. A key tension is improving prediction with flexible methods while preserving interpretable preferences, economic constraints, reliable uncertainty estimates, and robustness to changing choice sets or environments.

Latest papers

CardsList

45 papers10 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

  1. When Multiple Choices Are Correct: Asymmetric Probability Allocation in Jev and Other Decision Models

    Oct 21, 2026Rushab MunotLLM Decision-MakingLLM Reliability

    Independent Researcher

  2. Borrowing Strength Across Stores: Transfer Learning for Choice-Based Revenue Management

    Oct 20, 2026Recep Yusuf Bekci, Stefanus Jasin, Joline UichancoShrinkage EstimationTransfer Learning

    Department of Management Science and Engineering, University of Waterloo, Waterloo, Ontario, Canada · Stephen M. Ross School of Business, University of Michigan, Ann Arbor, Michigan, USA · Department of Technology Management and Innovation, Tandon School of Engineering, New York University, Brooklyn, New York, USA

  3. Towards Adaptive and Real-Survey-Aligned Simulated Urban Mobility Behaviour of Generative Agents

    Oct 14, 2026Yves Bru, Kamaldeep Singh Oberoi, Benoit GaudouHuman Behavior SimulationAgent-Based Modeling

    UMR IRIT, Université Toulouse Capitole, Toulouse, France · CESI, CESI LINEACT, Toulouse, France

  4. Similar Models, Broken Odds: Where Luce's Axiom Fails in Chatbot Arena

    Oct 13, 2026Soovadeep Bakshi, Apurba Bose, Aishwarya Bose +1Discrete Choice ModelingBradley–Terry Model

    Independent Researcher.

  5. Better Capturing Interactions Between Products inRetail: Revisited Negative Sampling forBasket Choice Modeling

    Oct 13, 2026Jules Désir, Vincent Auriau, Martin Možina +1Discrete Choice ModelingFeature Interaction Modeling

    Artefact Research Center, Paris, France · MICS, CentraleSupélec Université Paris-Saclay, Gif-sur-Yvette, France · Fortenova Group, Zagreb, Croatia

  6. Releasing the Inner Jev: A Simple Recipe for Open Decision Models

    Oct 12, 2026Jonathan Geuter, Andrew Cheng, David Alvarez-MelisLLM Decision-MakingLLM Fine-Tuning

    Harvard University · Kempner Institute

  7. Does a Hosted Decision Model Respect Irrelevant Alternatives? A Pre-Registered Test of Option-Set Dependence in Jev

    Oct 12, 2026Dushyant Rajput, Nirdesh Chauhan, Siddharth KosarajuLLM Decision-MakingLLM Evaluation

    AltSlate Labs LLP

  8. AI-Mediation in Retail Markets: Revenue Effects and Assortment Optimization

    Oct 9, 2026Omar El Housni, Marouane Ibn BrahimAssortment OptimizationDiscrete Choice Modeling

    Cornell Tech, Cornell University

  9. Logic-Logit: A Logic-Based Approach to Choice Modeling

    Oct 4, 2026Shuhan Zhang, Wendi Ren, Shuang LiHuman Preference ModelingInterpretable ML

    CUHK-Shenzhen

  10. Consideration Circuits: Depth Separation and Universality Beyond a Single Softmax

    Oct 2, 2026Junjie Xiao, Huiwen JiaDiscrete Choice Modeling

    Department of Mathematics, Peking University · Department of Industrial Engineering and Operations Research, University of California, Berkeley

  11. Multitask Reinforcement Learning for Assisting Choice Model Specification

    Sep 16, 2026Gabriel Nova, Stephane Hess, Sander Van CranenburghDiscrete Choice ModelingDeep Sets

    CityAI Lab, Transport and Logistics Group, Delft University of Technology, The Netherlands · Institute for Transport Studies and Choice Modelling Centre, University of Leeds, UK

  12. CALM: A Calibrated LLM Choice Network Framework for Activity-Based Traveler Simulation

    Sep 6, 2026Yezhou ChengHuman Behavior SimulationTravel Planning

    Independent Researcher

  13. SAUSS: Stochastic Approximation with Unbiased Simulated Scores for Limited Dependent Variable Models

    Aug 26, 2026Sokbae Lee, Yuan Liao, Myung Hwan Seo +1Stochastic ApproximationDiscrete Choice Modeling

    Department of Economics, Columbia University, New York, NY 10027, USA. · Department of Economics, University of Iowa, Iowa City, IA 52242, USA. · Department of Economics, The Hong Kong University of Science and Technology, Hong Kong. +1

  14. Neural-Bayesian Structure Learning for Discrete Choice Modeling

    Aug 26, 2026Hyunsoo Yun, Eun Hak Lee, Jiaru Zhang +2Discrete Choice ModelingGraph Structure Learning

    College of Engineering, Purdue University, United States of America · School of Railway Operation Systems, Kyungil University, Republic of Korea · Department of Transportation Systems Engineering, Ajou University, Republic of Korea

  15. MoPLEx: Estimating Plackett-Luce Mixture Models for Multi-Objective Alignment

    Aug 25, 2026Dongyue Li, Ziniu Zhang, Lu Wang +1Learning to RankDiscrete Choice Modeling

    Northeastern University, Boston, MA · University of Michigan, Ann Arbor, MI

  16. An Agentic Approach for Active Data Collection, Travel Behavior Modeling, and Weather-Sensitive Demand Prediction

    Aug 20, 2026Narges Ahmadi, Yubo Jiao, Jônatas Augusto Manzolli +2Multimodal Large Language ModelsMulti-Agent LLMs

    Department of Civil Engineering, McGill University, Montreal, Quebec, Canada

  17. DraftFM: A FoundationModel for Day-Zero Drafting in Magic: The Gathering

    Aug 20, 2026Brian WardGame-Playing AgentsCold-Start Recommendation

    Independent Researcher

  18. Demand Transfer Estimation at Scale via Restricted Logit Modeling

    Aug 13, 2026Lakshya Garg, Deep Narayan Mishra, Swapnil Yadav +4Discrete Choice Modeling

    Walmart Global Tech, Sunnyvale, CA, USA

  19. An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks

    Jul 30, 2026Sheng Lun Christine Cao, Destenie Nock, Alex DavisDiscrete Choice ModelingUser Preference Modeling

    Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada · Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA, USA · Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, PA, USA +1

  20. Tabular Foundation Models for Discrete Choice Estimation

    Jul 14, 2026Liu Liu, Dan ZhangTabular Foundation ModelsDiscrete Choice Modeling

    Leeds School of Business, University of Colorado Boulder

  21. Diversified Multinomial Logit Contextual Bandits

    Jul 13, 2026Heesang Ann, Taehyun Hwang, Min-hwan OhMulti-Armed BanditsDiscrete Choice Modeling

    Seoul National University

  22. Estimation, Prediction, and Assortment Optimization for Markov Chain Choice Models with Panel Data

    Jul 10, 2026Yalcin Akcay, Gerardo Berbeglia, Young-San LinExpectation-MaximizationDiscrete Choice Modeling

    Melbourne Business School

  23. Sensitivity to Subjective Expected Utility Maximization: A Methodological Study, with an Illustrative Application to LLM Decision-Making

    Jul 8, 2026Jeff HelznerParameter EstimationParameter Identifiability

  24. OpFlow: Learning Opportunity-Conditioned Choice Potentials for Robust OD Flow Prediction

    Jul 3, 2026Changjian Liu, Yong Gao, Yuqing Wang +5Distribution Shift RobustnessDiscrete Choice Modeling

    School of Earth and Space Sciences Peking University China, CN 100871 · College of Artificial Intelligence Zhejiang University China, CN 310027

  25. Embedding Foundation Model Predictions in Discrete-Choice Models with Structural Guarantees

    Jun 24, 2026Yingshuo Wang, Xian Sun, Yanhang Li +2Tabular Foundation ModelsMonotonicity Constraints

    University of California, Berkeley, CA, USA. · Duke University, Durham, NC, USA. · Northeastern University, Boston, MA, USA. +2

  26. A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice

    Jun 11, 2026Manisha Dubey, Anirban Sarkar, Subramanian RamamoorthyComputational Cognitive ModelingMulti-Criteria Decision Analysis

    School of Informatics, University of Edinburgh, UK · Cold Spring Harbor Laboratory, USA

  27. Worker Utility as Hysteresis: A Preisach Model of Transaction Acceptance in Gig Labour Markets

    Jun 3, 2026Piotr FrydrychDiscrete Choice ModelingHysteresis

    Metrology and Biomedical Engineering Institute, Faculty of Mechatronics, Warsaw University of Technology, 00-661 Warsaw, Poland

  28. Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice

    May 26, 2026Yingshuo Wang, Xian Sun, Yanhang Li +2Tabular Foundation ModelsMonotonicity Constraints

    University of California, Berkeley, CA, USA · Duke University, Durham, NC, USA · Northeastern University, Boston, MA, USA +2

  29. Optimal Design for Multinomial Logit Model with Applications to Best Assortment Identification

    May 25, 2026Joongkyu Lee, Min-hwan OhMulti-Armed BanditsDiscrete Choice Modeling

    Seoul National University, Seoul, Korea.

  30. Learning in Position-Aware Multinomial Logit Bandits: From Multiplicative to General Position Effects

    May 17, 2026Xi Chen, Shibo Dai, Jiameng Lyu +1Multi-Armed BanditsDiscrete Choice Modeling

    Leonard N. Stern School of Business, New York University, New York, NY 10012, USA · Qiuzhen College, Tsinghua University, Beijing 100084, China · Department of Management Science, School of Management, Fudan University, Shanghai, 200433, China +1