Publications
Everything in one list, newest first. Working papers, journal papers, conference papers and patents are interleaved; the line under each title says which it is. For the same record grouped by research area, use the topic view.
2026
- Annealed Softmax Greedy in Many-Armed Bayesian Bandits W. Overman, M. Bayati · Reinforcement Learning Conference (RLC) 2026
- A Few Teacher Steps Go a Long Way: Cost-Efficient On-Policy Data Augmentation for Agent Post-Training J. Ye, J. Cheng, M. Lu, M. Mankowski, J. Blanchet, M. Bayati · Preprint
- Calibrating Conservatism for Scalable Oversight W. Overman, M. Bayati · ICML 2026
- The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and Autonomy W. Overman, M. Bayati · ICML 2026
- Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms M. Bayati, J. Cao, W. Chen · Management Science
- Text-to-Distribution Prediction with Quantile Tokens and Neighbor Context Y. Zhu, Y. Zhuang, N. Vedula, D. Dhyani, S. Xu, M. Li, M. Bayati, B. Wang, S. Malmasi · Association for Computational Linguistics (ACL) 2026
- Causal Effects with Unobserved Unit Types in Interacting Human-AI Systems W. Overman, S. Shirani, M. Bayati · Preprint
- Validating Causal Message Passing Against Network-Aware Methods on Real Experiments A. Tan, S. Shirani, J. Nordlund, M. Bayati · Preprint
2025
- Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models W. Overman, M. Bayati · NeurIPS 2025
- Scalable Stewardship of an LLM-Assisted Clinical Benchmark with Physician Oversight J. Ye, D. Tawfik, A. J. Goodell, N. V. Kotha, M. K. Buyyounouski, M. Bayati · Preprint
- Estimating Total Effects in Bipartite Experiments with Spillovers and Partial Eligibility A. Tan, M. Bayati, J. Nordlund, R. Istomin · Preprint
- On Evolution-Based Models for Experimentation Under Interference S. Shirani, M. Bayati · Preprint
- Simulating and Experimenting with Social Media Mobilization Using LLM Agents S. Shirani, M. Bayati · Preprint
- On Aligning Prediction Models with Clinical Experiential Learning: A Prostate Cancer Case Study J. J. Vallon, W. Overman, W. Xu, N. Panjwani, X. Ling, S. Vij, H. P. Bagshaw, J. T. Leppert, S. Shah, G. Sonn, S. Srinivas, E. Pollom, M. K. Buyyounouski, M. Bayati · Preprint
- Scaling Clinician-Grade Feature Generation from Clinical Notes with Multi-Agent Language Models J. Wang, J. J. Vallon, N. V. Kotha, N. Panjwani, X. Ling, M. Redfield, S. Vij, S. Srinivas, J. Leppert, M. K. Buyyounouski, M. Bayati · Preprint
- Quantile Regression with Large Language Models for Price Prediction N. Vedula, D. Dhyani, L. Jalali, B. Oreshkin, M. Bayati, S. Malmasi · Association for Computational Linguistics (ACL) 2025
- Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits Y. Luo, M. Bayati · International Conference on Learning Representations (ICLR) 2025
- Qualitative verification of machine learning-based burnout predictors in primary care physicians D. Tawfik, S. S. Sebok-Syer, C. Bragdon, C. Brown-Johnson, M. Winget, M. Bayati, T. Shanafelt, J. Profit · Applied Clinical Informatics 16(4), 1031–1040
- Can We Validate Counterfactual Estimations in the Presence of General Network Interference? S. Shirani, Y. Luo, W. Overman, R. Xiong, M. Bayati · Preprint
- Post-Launch Evaluation of Policies in a High-Dimensional Setting S. Nassiri, M. Bayati, J. Cooprider · Preprint
- Electronic health record use patterns among well-being survey responders and non-responders: Longitudinal observational study D. Tawfik, T. Shanafelt, M. Bayati, J. Profit · JMIR Medical Informatics 13, e64722
2024
- Aligning Model Properties via Conformal Risk Control W. Overman, J. Vallon, M. Bayati · NeurIPS 2024
- Higher-Order Causal Message Passing for Experimentation with Complex Interference M. Bayati, Y. Luo, W. Overman, S. Shirani, R. Xiong · NeurIPS 2024
- A Probabilistic Approach for Model Alignment with Human Comparisons J. Cao and M. Bayati · Preprint
- Causal Message Passing for Experiments with Unknown and General Network Interference S. Shirani, M. Bayati · Proceedings of the National Academy of Sciences 121(40)
- Large language models for preventing medication direction errors in online pharmacies C. Pais, J. Liu, R. Voigt, V. Gupta, E. Wade, M. Bayati · Nature Medicine 30, 1574–1582
- Optimal Experimental Design for Staggered Rollouts R. Xiong, S. Athey, M. Bayati, G. Imbens · Management Science 70(8), 5317–5336
- Predicting primary care physician burnout from electronic health record use measures D. Tawfik, M. Bayati, J. Liu, L. Nguyen, A. Sinha, T. Kannampallil, T. Shanafelt, J. Profit · Mayo Clinic Proceedings 99(9), 1411–1421
2023
- Technical Note — The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling N. Hamidi, M. Bayati · Operations Research 71(4), 1434–1439
2022
- Thompson Sampling Efficiently Learns to Control Diffusion Processes M. K. Shirani Faradonbeh, M. S. Shirani Faradonbeh, M. Bayati · NeurIPS 2022
- Clinically Consistent Prostate Cancer Outcome Prediction Models with Machine Learning J. J. Vallon, N. Panjwani, X. Ling, S. Vij, E. Pollom, H. P. Bagshaw, S. Srinivas, J. Leppert, M. Bayati, M. K. Buyyounouski · American Society for Radiation Oncology (ASTRO) 2022
- On Low-rank Trace Regression under General Sampling Distribution N. Hamidi, M. Bayati · Journal of Machine Learning Research 23(321)
2021
- Learning to Recommend Using Non-Uniform Data W. Chen and M. Bayati · Preprint
- Frustration with technology and its relation to emotional exhaustion among health care workers D. S. Tawfik, A. Sinha, M. Bayati, K. C. Adair, T. D. Shanafelt, J. B. Sexton, J. Profit · Journal of Medical Internet Research 23(7)
- Matrix Completion Methods for Causal Panel Data Models S. Athey, M. Bayati, N. Doudchenko, G. Imbens, K. Khosravi · Journal of the American Statistical Association 116(536)
- Mostly Exploration-Free Algorithms for Contextual Bandits H. Bastani, M. Bayati, K. Khosravi · Management Science 67(3)
- PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments A. R. Sharafat, M. Bayati · IEEE Access 9
2020
- The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms M. Bayati, N. Hamidi, R. Johari, K. Khosravi · NeurIPS 2020, spotlight
- On Frequentist Regret of Linear Thompson Sampling N. Hamidi and M. Bayati · Preprint
- Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling C. Kim, M. Bayati · AISTATS 2020
- A General Theory of the Stochastic Linear Bandit and Its Applications N. Hamidi and M. Bayati · Preprint
- Online Decision-Making with High-Dimensional Covariates H. Bastani, M. Bayati · Operations Research 68(1)
2019
- Personalizing Many Decisions with High-Dimensional Covariates N. Hamidi, M. Bayati, K. Gupta · NeurIPS 2019
- Ensemble Methods for Causal Effects in Panel Data Settings S. Athey, M. Bayati, G. Imbens, Z. Qu · AEA Papers and Proceedings 109
- Evidence of Upcoding in Pay-for-Performance Programs H. Bastani, J. Goh, M. Bayati · Management Science 65(3), 1042–1060
- Scalable Approximations for Generalized Linear Problems M. A. Erdogdu, M. Bayati, L. H. Dicker · Journal of Machine Learning Research 20:1–45
2018
- Low-Acuity Patients Delay High-Acuity Patients in the Emergency Department D. Luo, M. Bayati, E. Plambeck, M. Aratow · Preprint
- Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations J. Goh, M. Bayati, S. Zenios, S. Singh, D. Moore · Operations Research 66(3)
- Generating Random Networks Without Short Cycles M. Bayati, A. Montanari, A. Saberi · Operations Research 66(5)
- Statistical analysis of a low-cost method for multiple disease prediction M. Bayati, S. Bhaskar, A. Montanari · Statistical Methods in Medical Research 27(8)
2017
- Analysis of Medicare Pay-for-Performance Contracts H. Bastani, M. Bayati, M. Braverman, R. Gummadi, R. Johari · EC Workshop on Mechanism Design for Social Good 2017
2016
- Scaled Least Squares Estimator for GLMs in Large-Scale Problems M. A. Erdogdu, M. Bayati, L. H. Dicker · NeurIPS 2016
- Accurate Emergency Department Wait Time Prediction E. Ang, S. Kwasnick, M. Bayati, E. Plambeck, M. Aratow · Manufacturing & Service Operations Management 18(1), 141–156
- Dynamic Pricing with Demand Covariates S. Qiang, M. Bayati · INFORMS Revenue Management and Pricing 2016
2015
- A Low-Cost Method for Multiple Disease Prediction M. Bayati, S. Bhaskar, A. Montanari · American Medical Informatics Association (AMIA) 2015
- Active Postmarketing Drug Surveillance for Multiple Adverse Events J. Goh, M. V. Bjarnadottir, M. Bayati, S. Zenios · Operations Research 63(6), 1528–1546
- Bargaining dynamics in exchange networks M. Bayati, C. Borgs, J. Chayes, Y. Kanoria, A. Montanari · Journal of Economic Theory 156, 417–454
- Universality in polytope phase transitions and message passing algorithms M. Bayati, M. Lelarge, A. Montanari · Annals of Applied Probability 25(2), 753–822
2014
- Data-driven decisions for reducing readmissions for heart failure: general methodology and case study M. Bayati, M. Braverman, M. Gillam, K. Mack, G. Ruiz, M. Smith, E. Horvitz · PLOS ONE 9(10)
- Identifying patients at high risk for readmission following treatment for acute myocardial infarction: a data-centric approach N. C. Baker, M. Bayati, R. Torguson, K. Mack, H. Rappaport, E. Horvitz, R. Waksman · American Heart Association Scientific Sessions 2014
2013
- Combinatorial approach to the interpolation method and scaling limits in sparse random graphs M. Bayati, D. Gamarnik, P. Tetali · Annals of Probability 41(6), 4080–4115
- Estimating LASSO risk and noise level M. Bayati, M. A. Erdogdu, A. Montanari · NeurIPS 2013
- Message-passing algorithms for sparse network alignment M. Bayati, D. F. Gleich, A. Saberi, Y. Wang · ACM Transactions on Knowledge Discovery from Data 7(1)
2012
- Health care policy development and execution M. Bayati, M. Braverman, M. Gillam, E. Horvitz · US 2012/0004925 A1, filed 2010
- The LASSO risk for Gaussian matrices M. Bayati, A. Montanari · IEEE Transactions on Information Theory 58(4)
- Universality in polytope phase transitions and iterative algorithms M. Bayati, M. Lelarge, A. Montanari · IEEE International Symposium on Information Theory (ISIT) 2012
2011
- Belief propagation for weighted b-matchings on arbitrary graphs and its relation to linear programs with integer solutions M. Bayati, C. Borgs, J. Chayes, R. Zecchina · SIAM Journal on Discrete Mathematics 25, 989–1011
- Fast convergence of natural bargaining dynamics in exchange networks Y. Kanoria, M. Bayati, C. Borgs, J. Chayes, A. Montanari · ACM-SIAM Symposium on Discrete Algorithms (SODA) 2011
- The dynamics of message passing on dense graphs, with applications to compressed sensing M. Bayati, A. Montanari · IEEE Transactions on Information Theory 57(2)
2010
- A sequential algorithm for generating random graphs M. Bayati, J. H. Kim, A. Saberi · Algorithmica 58(4)
- Combinatorial approach to the interpolation method and scaling limits in sparse random graphs M. Bayati, D. Gamarnik, P. Tetali · ACM Symposium on Theory of Computing (STOC) 2010
- Predicting web advertisement click success by using head-to-head ratings M. Bayati, M. Braverman, S. Kale, Y. Makarychev · US 2010/0198685 A1
- The dynamics of message passing on dense graphs, with applications to compressed sensing M. Bayati, A. Montanari · IEEE International Symposium on Information Theory (ISIT) 2010
- The LASSO risk: asymptotic results and real world examples M. Bayati, J. Bento, A. Montanari · NeurIPS 2010
2009
- A rigorous analysis of the cavity equations for the minimum spanning tree M. Bayati, A. Braunstein, R. Zecchina · Journal of Mathematical Physics 49, 125206
- Algorithms for large, sparse network alignment problems M. Bayati, M. Gerritsen, D. F. Gleich, A. Saberi, Y. Wang · IEEE International Conference on Data Mining (ICDM) 2009
- Generating random graphs with large girth M. Bayati, A. Montanari, A. Saberi · ACM-SIAM Symposium on Discrete Algorithms (SODA) 2009
- Generating random Tanner-graphs with large girth M. Bayati, R. Keshavan, A. Montanari, S. Oh, A. Saberi · IEEE Information Theory Workshop (ITW) 2009
- Network analysis with Steiner trees M. Bayati, C. Borgs, A. Braunstein, J. Chayes, R. Zecchina · US 2009/0222782 A1, granted 2011
2008
- Max-product for maximum weight matching: convergence, correctness, and LP duality M. Bayati, D. Shah, M. Sharma · IEEE Transactions on Information Theory 54(3)
- On the exactness of the cavity method for weighted b-matchings on arbitrary graphs and its relation to linear programs M. Bayati, C. Borgs, J. Chayes, R. Zecchina · Journal of Statistical Mechanics, L06001
- Statistical mechanics of Steiner trees M. Bayati, C. Borgs, A. Braunstein, J. Chayes, A. Ramezanpour, R. Zecchina · Physical Review Letters 101, 037208
2007
- A sequential algorithm for generating random graphs M. Bayati, J. H. Kim, A. Saberi · RANDOM 2007
- Iterative scheduling algorithms M. Bayati, B. Prabhakar, D. Shah, M. Sharma · IEEE INFOCOM 2007
- Simple deterministic approximation algorithms for counting matchings M. Bayati, D. Gamarnik, D. Katz, C. Nair, P. Tetali · ACM Symposium on Theory of Computing (STOC) 2007
2006
- A rigorous proof of the cavity method for counting matchings M. Bayati, C. Nair · Allerton Conference on Communication, Control and Computing 2006
- A simpler max-product maximum weight matching algorithm and the auction algorithm M. Bayati, D. Shah, M. Sharma · IEEE International Symposium on Information Theory (ISIT) 2006
- Optimal scheduling in multi-server queueing networks M. Bayati, M. Squillante, M. Sharma · ACM SIGMETRICS/Performance 2006
2005
- Achieving stability in networks of input-queued switches using a local online scheduling policy N. Kumar, S. Nabar, M. Bayati, A. Keshavarzian · IEEE GLOBECOM 2005
- Maximum weight matching via max-product belief propagation M. Bayati, D. Shah, M. Sharma · IEEE International Symposium on Information Theory (ISIT) 2005
2004
- Stability of the maximum size matching in input-queued switches M. Bayati, N. Beheshti · Allerton Conference on Communication, Control and Computing 2004