Mohsen Bayati

83 papers A* 12A 1B 5Misc 2Journal 57Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Effects with Unobserved Unit Types in Interacting Human-AI Systems.
CoRR
William Overman, Sadegh Shirani, Mohsen Bayati
2025 J jnl
Agent-Based Feature Generation from Clinical Notes for Outcome Prediction.
CoRR
Jiayi Wang, Jacqueline Jil Vallon, Neil Panjwani, Xi Ling, Sushmita Vij, Sandy Srinivas, John Leppert, Mark K. Buyyounouski, Mohsen Bayati
2025 J jnl
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
CoRR
Sadegh Shirani, Yuwei Luo, William Overman, Ruoxuan Xiong, Mohsen Bayati
2025 J jnl
Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models.
CoRR
William Overman, Mohsen Bayati
2025 J jnl
Estimating Total Effects in Bipartite Experiments with Spillovers and Partial Eligibility.
CoRR
Albert Tan, Mohsen Bayati, James Nordlund, Roman Istomin
2025 A* conf
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits.
ICLR
Yuwei Luo, Mohsen Bayati
2025 J jnl
On Aligning Prediction Models with Clinical Experiential Learning: A Prostate Cancer Case Study.
CoRR
Jacqueline Jil Vallon, William Overman, Wanqiao Xu, Neil Panjwani, Xi Ling, Sushmita Vij, Hilary P. Bagshaw, John T. Leppert, Sumit Shah, Geoffrey Sonn, Sandy Srinivas, Erqi Pollom, Mark K. Buyyounouski, Mohsen Bayati
2025 J jnl
On Evolution-Based Models for Experimentation Under Interference.
CoRR
Sadegh Shirani, Mohsen Bayati
2025 J jnl
Post Launch Evaluation of Policies in a High-Dimensional Setting.
CoRR
Shima Nassiri, Mohsen Bayati, Joe Cooprider
2025 — conf
Quantile Regression with Large Language Models for Price Prediction.
ACL (Findings)
Nikhita Vedula, Dushyanta Dhyani, Laleh Jalali, Boris N. Oreshkin, Mohsen Bayati, Shervin Malmasi
2025 J jnl
Quantile Regression with Large Language Models for Price Prediction.
CoRR
Nikhita Vedula, Dushyanta Dhyani, Laleh Jalali, Boris N. Oreshkin, Mohsen Bayati, Shervin Malmasi
2025 J jnl
Scalably Enhancing the Clinical Validity of a Task Benchmark with Physician Oversight.
CoRR
Junze Ye, Daniel Tawfik, Alex J. Goodell, Nikhil V. Kotha, Mark K. Buyyounouski, Mohsen Bayati
2025 J jnl
Simulating and Experimenting with Social Media Mobilization Using LLM Agents.
CoRR
Sadegh Shirani, Mohsen Bayati
2025 J jnl
The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and Autonomy.
CoRR
William Overman, Mohsen Bayati
2024 J jnl
A Probabilistic Approach for Alignment with Human Comparisons.
CoRR
Junyu Cao, Mohsen Bayati
2024 A* conf
Aligning Model Properties via Conformal Risk Control.
NeurIPS
William Overman, Jacqueline Jil Vallon, Mohsen Bayati
2024 J jnl
Aligning Model Properties via Conformal Risk Control.
CoRR
William Overman, Jacqueline Jil Vallon, Mohsen Bayati
2024 A* conf
Higher-Order Causal Message Passing for Experimentation with Complex Interference.
NeurIPS
Mohsen Bayati, Yuwei Luo, William Overman, Mohamad Sadegh Shirani Faradonbeh, Ruoxuan Xiong
2024 J jnl
Higher-Order Causal Message Passing for Experimentation with Complex Interference.
CoRR
Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani, Ruoxuan Xiong
2024 J jnl
Optimal Experimental Design for Staggered Rollouts.
Manag. Sci.
Ruoxuan Xiong, Susan Athey, Mohsen Bayati, Guido Imbens
2023 J jnl
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits.
CoRR
Yuwei Luo, Mohsen Bayati
2023 J jnl
Technical Note - The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling.
Oper. Res.
Nima Hamidi, Mohsen Bayati
2022 J jnl
On Low-rank Trace Regression under General Sampling Distribution.
J. Mach. Learn. Res.
Nima Hamidi, Mohsen Bayati
2022 J jnl
Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms.
CoRR
Mohsen Bayati, Junyu Cao, Wanning Chen
2022 A* conf
Thompson Sampling Efficiently Learns to Control Diffusion Processes.
NeurIPS
Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
2022 J jnl
Thompson Sampling Efficiently Learns to Control Diffusion Processes.
CoRR
Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
2021 J jnl
Learning to Recommend Using Non-Uniform Data.
CoRR
Wanning Chen, Mohsen Bayati
2021 J jnl
Mostly Exploration-Free Algorithms for Contextual Bandits.
Manag. Sci.
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
2021 J jnl
PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments.
IEEE Access
Ali Reza Sharafat, Mohsen Bayati
2021 J jnl
The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling.
CoRR
Nima Hamidi, Mohsen Bayati
2020 J jnl
A General Framework to Analyze Stochastic Linear Bandit.
CoRR
Nima Hamidi, Mohsen Bayati
2020 J jnl
On Worst-case Regret of Linear Thompson Sampling.
CoRR
Nima Hamidi, Mohsen Bayati
2020 J jnl
Online Decision Making with High-Dimensional Covariates.
Oper. Res.
Hamsa Bastani, Mohsen Bayati
2020 J jnl
Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms.
CoRR
Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi
2020 A conf
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling.
AISTATS
Carolyn Kim, Mohsen Bayati
2020 J jnl
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling.
CoRR
Carolyn Kim, Mohsen Bayati
2020 A* conf
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms.
NeurIPS
Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi
2019 J jnl
Evidence of Upcoding in Pay-for-Performance Programs.
Manag. Sci.
Hamsa Bastani, Joel Goh, Mohsen Bayati
2019 J jnl
On Low-rank Trace Regression under General Sampling Distribution.
CoRR
Nima Hamidi, Mohsen Bayati
2019 A* conf
Personalizing Many Decisions with High-Dimensional Covariates.
NeurIPS
Nima Hamidi, Mohsen Bayati, Kapil Gupta
2019 J jnl
Scalable Approximations for Generalized Linear Problems.
J. Mach. Learn. Res.
Murat A. Erdogdu, Mohsen Bayati, Lee H. Dicker
2018 J jnl
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations.
Oper. Res.
Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, David Moore
2018 J jnl
Generating Random Networks Without Short Cycles.
Oper. Res.
Mohsen Bayati, Andrea Montanari, Amin Saberi
2017 J jnl
Exploiting the Natural Exploration In Contextual Bandits.
CoRR
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
2016 J jnl
Accurate Emergency Department Wait Time Prediction.
Manuf. Serv. Oper. Manag.
Erjie Ang, Sara Kwasnick, Mohsen Bayati, Erica L. Plambeck, Michael Aratow
2016 — conf
Scaled Least Squares Estimator for GLMs in Large-Scale Problems.
NIPS
Murat A. Erdogdu, Lee H. Dicker, Mohsen Bayati
2015 Misc conf
A Low-Cost Method for Multiple Disease Prediction.
AMIA
Mohsen Bayati, Sonia Bhaskar, Andrea Montanari
2015 J jnl
Active Postmarketing Drug Surveillance for Multiple Adverse Events.
Oper. Res.
Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati, Stefanos A. Zenios
2015 J jnl
Bargaining dynamics in exchange networks.
J. Econ. Theory
Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Yash Kanoria, Andrea Montanari
2015 Misc conf
Matrix Completion Methods and Imputation for EMR-Based Prediction.
AMIA
Erika Strandberg, Mohsen Bayati
2013 — conf
Estimating LASSO Risk and Noise Level.
NIPS
Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari
2013 J jnl
Message-Passing Algorithms for Sparse Network Alignment.
ACM Trans. Knowl. Discov. Data
Mohsen Bayati, David F. Gleich, Amin Saberi, Ying Wang
2012 J jnl
The LASSO Risk for Gaussian Matrices.
IEEE Trans. Inf. Theory
Mohsen Bayati, Andrea Montanari
2012 J jnl
Universality in Polytope Phase Transitions and Message Passing Algorithms
CoRR
Mohsen Bayati, Marc Lelarge, Andrea Montanari
2012 B conf
Universality in polytope phase transitions and iterative algorithms.
ISIT
Mohsen Bayati, Marc Lelarge, Andrea Montanari
2011 J jnl
Belief Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions.
SIAM J. Discret. Math.
Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina
2011 A* conf
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks.
SODA
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari
2011 — conf
Session MA3b: Graphical models in signal processing I.
ACSCC
Mohsen Bayati
2011 J jnl
The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing.
IEEE Trans. Inf. Theory
Mohsen Bayati, Andrea Montanari
2010 J jnl
A Sequential Algorithm for Generating Random Graphs.
Algorithmica
Mohsen Bayati, Jeong Han Kim, Amin Saberi
2010 A* conf
Combinatorial approach to the interpolation method and scaling limits in sparse random graphs.
STOC
Mohsen Bayati, David Gamarnik, Prasad Tetali
2010 J jnl
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
CoRR
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari
2010 J jnl
The LASSO risk for gaussian matrices
CoRR
Mohsen Bayati, Andrea Montanari
2010 — conf
The LASSO risk: asymptotic results and real world examples.
NIPS
Mohsen Bayati, José Bento, Andrea Montanari
2010 J jnl
The dynamics of message passing on dense graphs, with applications to compressed sensing
CoRR
Mohsen Bayati, Andrea Montanari
2010 B conf
The dynamics of message passing on dense graphs, with applications to compressed sensing.
ISIT
Mohsen Bayati, Andrea Montanari
2009 J jnl
A Natural Dynamics for Bargaining on Exchange Networks
CoRR
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari
2009 J jnl
A rigorous analysis of the cavity equations for the minimum spanning tree
CoRR
Mohsen Bayati, Alfredo Braunstein, Riccardo Zecchina
2009 A* conf
Algorithms for Large, Sparse Network Alignment Problems.
ICDM
Mohsen Bayati, Margot Gerritsen, David F. Gleich, Amin Saberi, Ying Wang
2009 A* conf
Generating random graphs with large girth.
SODA
Mohsen Bayati, Andrea Montanari, Amin Saberi
2008 J jnl
Generating Random Graphs with Large Girth
CoRR
Mohsen Bayati, Andrea Montanari, Amin Saberi
2008 J jnl
Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality.
IEEE Trans. Inf. Theory
Mohsen Bayati, Devavrat Shah, Mayank Sharma
2007 J jnl
A Sequential Algorithm for Generating Random Graphs
CoRR
Mohsen Bayati, Jeong Han Kim, Amin Saberi
2007 — conf
A Sequential Algorithm for Generating Random Graphs.
APPROX-RANDOM
Mohsen Bayati, Jeong Han Kim, Amin Saberi
2007 J jnl
Belief-Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions
CoRR
Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina
2007 A* conf
Iterative Scheduling Algorithms.
INFOCOM
Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Mayank Sharma
2007 A* conf
Simple deterministic approximation algorithms for counting matchings.
STOC
Mohsen Bayati, David Gamarnik, Dimitriy A. Katz, Chandra Nair, Prasad Tetali
2006 B conf
A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm.
ISIT
Mohsen Bayati, Devavrat Shah, Mayank Sharma
2006 J jnl
A rigorous proof of the cavity method for counting matchings
CoRR
Mohsen Bayati, Chandra Nair
2006 J jnl
Optimal scheduling in a multiserver stochastic network.
SIGMETRICS Perform. Evaluation Rev.
Mohsen Bayati, Mayank Sharma, Mark S. Squillante
2005 B conf
Achieving stability in networks of input-queued switches using a local online scheduling policy.
GLOBECOM
Shubha U. Nabar, Neha Kumar, Mohsen Bayati, Abtin Keshavarzian
2005 J jnl
Maximum Weight Matching via Max-Product Belief Propagation
CoRR
Mohsen Bayati, Devavrat Shah, Mayank Sharma
2005 B conf
Maximum weight matching via max-product belief propagation.
ISIT
Mohsen Bayati, Devavrat Shah, Mayank Sharma