Achieving stability in networks of input-queued switches using a local online scheduling policy. - Shubha U. Nabar; Neha Kumar 001; Mohsen Bayati; Abtin Keshavarzian (GLOBECOM, 2005)

Maximum weight matching via max-product belief propagation. - Mohsen Bayati; Devavrat Shah; Mayank Sharma (ISIT, 2005)

A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm. - Mohsen Bayati; Devavrat Shah; Mayank Sharma (ISIT, 2006)

A rigorous proof of the cavity method for counting matchings - Mohsen Bayati; Chandra Nair (CoRR, 2006)

Optimal scheduling in a multiserver stochastic network. - Mohsen Bayati; Mayank Sharma; Mark S. Squillante (SIGMETRICS Perform. Evaluation Rev., 2006)

Iterative Scheduling Algorithms. - Mohsen Bayati; Balaji Prabhakar; Devavrat Shah; Mayank Sharma (INFOCOM, 2007)

Simple deterministic approximation algorithms for counting matchings. - Mohsen Bayati; David Gamarnik; Dimitriy A. Katz; Chandra Nair; Prasad Tetali (STOC, 2007)

Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality. - Mohsen Bayati; Devavrat Shah; Mayank Sharma (IEEE Trans. Inf. Theory, 2008)

Algorithms for Large, Sparse Network Alignment Problems. - Mohsen Bayati; Margot Gerritsen; David F. Gleich; Amin Saberi; Ying Wang (ICDM, 2009)

Generating random graphs with large girth. - Mohsen Bayati; Andrea Montanari; Amin Saberi (SODA, 2009)

A rigorous analysis of the cavity equations for the minimum spanning tree - Mohsen Bayati; Alfredo Braunstein; Riccardo Zecchina (CoRR, 2009)

A Natural Dynamics for Bargaining on Exchange Networks - Yashodhan Kanoria; Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Andrea Montanari (CoRR, 2009)

The LASSO risk: asymptotic results and real world examples. - Mohsen Bayati; José Bento 001; Andrea Montanari (NIPS, 2010)

Combinatorial approach to the interpolation method and scaling limits in sparse random graphs. - Mohsen Bayati; David Gamarnik; Prasad Tetali (STOC, 2010)

A Sequential Algorithm for Generating Random Graphs. - Mohsen Bayati; Jeong Han Kim; Amin Saberi (Algorithmica, 2010)

Session MA3b: Graphical models in signal processing I. - Mohsen Bayati (ACSCC, 2011)

Fast Convergence of Natural Bargaining Dynamics in Exchange Networks. - Yashodhan Kanoria; Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Andrea Montanari (SODA, 2011)

Belief Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions. - Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Riccardo Zecchina (SIAM J. Discret. Math., 2011)

The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing. - Mohsen Bayati; Andrea Montanari (IEEE Trans. Inf. Theory, 2011)

Universality in polytope phase transitions and iterative algorithms. - Mohsen Bayati; Marc Lelarge; Andrea Montanari (ISIT, 2012)

Universality in Polytope Phase Transitions and Message Passing Algorithms - Mohsen Bayati; Marc Lelarge; Andrea Montanari (CoRR, 2012)

The LASSO Risk for Gaussian Matrices. - Mohsen Bayati; Andrea Montanari (IEEE Trans. Inf. Theory, 2012)

Estimating LASSO Risk and Noise Level. - Mohsen Bayati; Murat A. Erdogdu; Andrea Montanari (NIPS, 2013)

Message-Passing Algorithms for Sparse Network Alignment. - Mohsen Bayati; David F. Gleich; Amin Saberi; Ying Wang (ACM Trans. Knowl. Discov. Data, 2013)

A Low-Cost Method for Multiple Disease Prediction. - Mohsen Bayati; Sonia Bhaskar; Andrea Montanari (AMIA, 2015)

Matrix Completion Methods and Imputation for EMR-Based Prediction. - Erika Strandberg; Mohsen Bayati (AMIA, 2015)

Active Postmarketing Drug Surveillance for Multiple Adverse Events. - Joel Goh; Margrét V. Bjarnadóttir; Mohsen Bayati; Stefanos A. Zenios (Oper. Res., 2015)

Bargaining dynamics in exchange networks. - Mohsen Bayati; Christian Borgs; Jennifer T. Chayes; Yash Kanoria; Andrea Montanari (J. Econ. Theory, 2015)

Scaled Least Squares Estimator for GLMs in Large-Scale Problems. - Murat A. Erdogdu; Lee H. Dicker; Mohsen Bayati (NIPS, 2016)

Accurate Emergency Department Wait Time Prediction. - Erjie Ang; Sara Kwasnick; Mohsen Bayati; Erica L. Plambeck; Michael Aratow (Manuf. Serv. Oper. Manag., 2016)

Exploiting the Natural Exploration In Contextual Bandits. - Hamsa Bastani; Mohsen Bayati; Khashayar Khosravi (CoRR, 2017)

Generating Random Networks Without Short Cycles. - Mohsen Bayati; Andrea Montanari; Amin Saberi (Oper. Res., 2018)

Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations. - Joel Goh; Mohsen Bayati; Stefanos A. Zenios; Sundeep Singh; David Moore (Oper. Res., 2018)

Personalizing Many Decisions with High-Dimensional Covariates. - Nima Hamidi; Mohsen Bayati; Kapil Gupta (NeurIPS, 2019)

Scalable Approximations for Generalized Linear Problems. - Murat A. Erdogdu; Mohsen Bayati; Lee H. Dicker (J. Mach. Learn. Res., 2019)

Evidence of Upcoding in Pay-for-Performance Programs. - Hamsa Bastani; Joel Goh; Mohsen Bayati (Manag. Sci., 2019)

Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling. - Carolyn Kim; Mohsen Bayati (AISTATS, 2020)

Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms. - Mohsen Bayati; Nima Hamidi; Ramesh Johari; Khashayar Khosravi (NeurIPS, 2020)

A General Framework to Analyze Stochastic Linear Bandit. - Nima Hamidi; Mohsen Bayati (CoRR, 2020)

Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms. - Mohsen Bayati; Nima Hamidi; Ramesh Johari; Khashayar Khosravi (CoRR, 2020)

On Worst-case Regret of Linear Thompson Sampling. - Nima Hamidi; Mohsen Bayati (CoRR, 2020)

Online Decision Making with High-Dimensional Covariates. - Hamsa Bastani; Mohsen Bayati (Oper. Res., 2020)

PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments. - Ali Reza Sharafat; Mohsen Bayati (IEEE Access, 2021)

The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling. - Nima Hamidi; Mohsen Bayati (CoRR, 2021)

Learning to Recommend Using Non-Uniform Data. - Wanning Chen; Mohsen Bayati (CoRR, 2021)

Mostly Exploration-Free Algorithms for Contextual Bandits. - Hamsa Bastani; Mohsen Bayati; Khashayar Khosravi (Manag. Sci., 2021)

Thompson Sampling Efficiently Learns to Control Diffusion Processes. - Mohamad Kazem Shirani Faradonbeh; Mohamad Sadegh Shirani Faradonbeh; Mohsen Bayati (NeurIPS, 2022)

Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms. - Mohsen Bayati; Junyu Cao; Wanning Chen (CoRR, 2022)

On Low-rank Trace Regression under General Sampling Distribution. - Nima Hamidi; Mohsen Bayati (J. Mach. Learn. Res., 2022)

Technical Note - The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling. - Nima Hamidi; Mohsen Bayati (Oper. Res., 2023)

Higher-Order Causal Message Passing for Experimentation with Complex Interference. - Mohsen Bayati; Yuwei Luo; William Overman; Mohamad Sadegh Shirani Faradonbeh; Ruoxuan Xiong (NeurIPS, 2024)

Aligning Model Properties via Conformal Risk Control. - William Overman; Jacqueline Jil Vallon; Mohsen Bayati (NeurIPS, 2024)

A Probabilistic Approach for Alignment with Human Comparisons. - Junyu Cao; Mohsen Bayati (CoRR, 2024)

Higher-Order Causal Message Passing for Experimentation with Complex Interference. - Mohsen Bayati; Yuwei Luo; William Overman; Sadegh Shirani; Ruoxuan Xiong (CoRR, 2024)

Optimal Experimental Design for Staggered Rollouts. - Ruoxuan Xiong; Susan Athey; Mohsen Bayati; Guido Imbens (Manag. Sci., 2024)

Quantile Regression with Large Language Models for Price Prediction. - Nikhita Vedula; Dushyanta Dhyani; Laleh Jalali; Boris N. Oreshkin; Mohsen Bayati; Shervin Malmasi (ACL (Findings), 2025)

Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits. - Yuwei Luo; Mohsen Bayati (ICLR, 2025)

Post Launch Evaluation of Policies in a High-Dimensional Setting. - Shima Nassiri; Mohsen Bayati; Joe Cooprider (CoRR, 2025)

Can We Validate Counterfactual Estimations in the Presence of General Network Interference? - Sadegh Shirani; Yuwei Luo; William Overman; Ruoxuan Xiong; Mohsen Bayati (CoRR, 2025)

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models. - William Overman; Mohsen Bayati (CoRR, 2025)