Mohsen Bayati

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 28

Top Topics

Multi Armed Bandit

Matrix Completion

Diffusion Processes

Emergency Department

Top Venues

Publications

William Overman, Jacqueline Jil Vallon, Mohsen Bayati
Aligning Model Properties via Conformal Risk Control. CoRR (2024)
Junyu Cao, Mohsen Bayati
A Probabilistic Approach for Alignment with Human Comparisons. CoRR (2024)
Yuwei Luo, Mohsen Bayati
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits. CoRR (2023)
Nima Hamidi, Mohsen Bayati
Technical Note - The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling. Oper. Res. 71 (4) (2023)
Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
Thompson Sampling Efficiently Learns to Control Diffusion Processes. CoRR (2022)
Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati
Thompson Sampling Efficiently Learns to Control Diffusion Processes. NeurIPS (2022)
Nima Hamidi, Mohsen Bayati
On Low-rank Trace Regression under General Sampling Distribution. J. Mach. Learn. Res. 23 (2022)
Mohsen Bayati, Junyu Cao, Wanning Chen
Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms. CoRR (2022)
Wanning Chen, Mohsen Bayati
Learning to Recommend Using Non-Uniform Data. CoRR (2021)
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
Mostly Exploration-Free Algorithms for Contextual Bandits. Manag. Sci. 67 (3) (2021)
Ali Reza Sharafat, Mohsen Bayati
PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments. IEEE Access 9 (2021)
Nima Hamidi, Mohsen Bayati
The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling. CoRR (2021)
Nima Hamidi, Mohsen Bayati
A General Framework to Analyze Stochastic Linear Bandit. CoRR (2020)
Carolyn Kim, Mohsen Bayati
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling. AISTATS (2020)
Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms. NeurIPS (2020)
Hamsa Bastani, Mohsen Bayati
Online Decision Making with High-Dimensional Covariates. Oper. Res. 68 (1) (2020)
Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi
Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms. CoRR (2020)
Nima Hamidi, Mohsen Bayati
On Worst-case Regret of Linear Thompson Sampling. CoRR (2020)
Carolyn Kim, Mohsen Bayati
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling. CoRR (2020)
Hamsa Bastani, Joel Goh, Mohsen Bayati
Evidence of Upcoding in Pay-for-Performance Programs. Manag. Sci. 65 (3) (2019)
Murat A. Erdogdu, Mohsen Bayati, Lee H. Dicker
Scalable Approximations for Generalized Linear Problems. J. Mach. Learn. Res. 20 (2019)
Nima Hamidi, Mohsen Bayati, Kapil Gupta
Personalizing Many Decisions with High-Dimensional Covariates. NeurIPS (2019)
Nima Hamidi, Mohsen Bayati
On Low-rank Trace Regression under General Sampling Distribution. CoRR (2019)
Mohsen Bayati, Andrea Montanari, Amin Saberi
Generating Random Networks Without Short Cycles. Oper. Res. 66 (5) (2018)
Joel Goh, Mohsen Bayati, Stefanos A. Zenios, Sundeep Singh, David Moore
Data Uncertainty in Markov Chains: Application to Cost-Effectiveness Analyses of Medical Innovations. Oper. Res. 66 (3) (2018)
Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi
Exploiting the Natural Exploration In Contextual Bandits. CoRR (2017)
Erjie Ang, Sara Kwasnick, Mohsen Bayati, Erica L. Plambeck, Michael Aratow
Accurate Emergency Department Wait Time Prediction. Manuf. Serv. Oper. Manag. 18 (1) (2016)
Murat A. Erdogdu, Lee H. Dicker, Mohsen Bayati
Scaled Least Squares Estimator for GLMs in Large-Scale Problems. NIPS (2016)
Erika Strandberg, Mohsen Bayati
Matrix Completion Methods and Imputation for EMR-Based Prediction. AMIA (2015)
Mohsen Bayati, Sonia Bhaskar, Andrea Montanari
A Low-Cost Method for Multiple Disease Prediction. AMIA (2015)
Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Yash Kanoria, Andrea Montanari
Bargaining dynamics in exchange networks. J. Econ. Theory 156 (2015)
Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati, Stefanos A. Zenios
Active Postmarketing Drug Surveillance for Multiple Adverse Events. Oper. Res. 63 (6) (2015)
Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari
Estimating LASSO Risk and Noise Level. NIPS (2013)
Mohsen Bayati, David F. Gleich, Amin Saberi, Ying Wang
Message-Passing Algorithms for Sparse Network Alignment. ACM Trans. Knowl. Discov. Data 7 (1) (2013)
Mohsen Bayati, Marc Lelarge, Andrea Montanari
Universality in Polytope Phase Transitions and Message Passing Algorithms CoRR (2012)
Mohsen Bayati, Marc Lelarge, Andrea Montanari
Universality in polytope phase transitions and iterative algorithms. ISIT (2012)
Mohsen Bayati, Andrea Montanari
The LASSO Risk for Gaussian Matrices. IEEE Trans. Inf. Theory 58 (4) (2012)
Mohsen Bayati, Andrea Montanari
The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing. IEEE Trans. Inf. Theory 57 (2) (2011)
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks. SODA (2011)
Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina
Belief Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions. SIAM J. Discret. Math. 25 (2) (2011)
Mohsen Bayati
Session MA3b: Graphical models in signal processing I. ACSCC (2011)
Mohsen Bayati, David Gamarnik, Prasad Tetali
Combinatorial approach to the interpolation method and scaling limits in sparse random graphs. STOC (2010)
Mohsen Bayati, Jeong Han Kim, Amin Saberi
A Sequential Algorithm for Generating Random Graphs. Algorithmica 58 (4) (2010)
Mohsen Bayati, Andrea Montanari
The LASSO risk for gaussian matrices CoRR (2010)
Mohsen Bayati, Andrea Montanari
The dynamics of message passing on dense graphs, with applications to compressed sensing CoRR (2010)
Mohsen Bayati, Andrea Montanari
The dynamics of message passing on dense graphs, with applications to compressed sensing. ISIT (2010)
Mohsen Bayati, José Bento, Andrea Montanari
The LASSO risk: asymptotic results and real world examples. NIPS (2010)
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks CoRR (2010)
Mohsen Bayati, Alfredo Braunstein, Riccardo Zecchina
A rigorous analysis of the cavity equations for the minimum spanning tree CoRR (2009)
Mohsen Bayati, Andrea Montanari, Amin Saberi
Generating random graphs with large girth. SODA (2009)
Mohsen Bayati, Margot Gerritsen, David F. Gleich, Amin Saberi, Ying Wang
Algorithms for Large, Sparse Network Alignment Problems. ICDM (2009)
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari
A Natural Dynamics for Bargaining on Exchange Networks CoRR (2009)
Mohsen Bayati, Andrea Montanari, Amin Saberi
Generating Random Graphs with Large Girth CoRR (2008)
Mohsen Bayati, Devavrat Shah, Mayank Sharma
Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality. IEEE Trans. Inf. Theory 54 (3) (2008)
Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Mayank Sharma
Iterative Scheduling Algorithms. INFOCOM (2007)
Mohsen Bayati, Jeong Han Kim, Amin Saberi
A Sequential Algorithm for Generating Random Graphs CoRR (2007)
Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Riccardo Zecchina
Belief-Propagation for Weighted b-Matchings on Arbitrary Graphs and its Relation to Linear Programs with Integer Solutions CoRR (2007)
Mohsen Bayati, David Gamarnik, Dimitriy A. Katz, Chandra Nair, Prasad Tetali
Simple deterministic approximation algorithms for counting matchings. STOC (2007)
Mohsen Bayati, Jeong Han Kim, Amin Saberi
A Sequential Algorithm for Generating Random Graphs. APPROX-RANDOM (2007)
Mohsen Bayati, Devavrat Shah, Mayank Sharma
A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm. ISIT (2006)
Mohsen Bayati, Chandra Nair
A rigorous proof of the cavity method for counting matchings CoRR (2006)
Mohsen Bayati, Mayank Sharma, Mark S. Squillante
Optimal scheduling in a multiserver stochastic network. SIGMETRICS Perform. Evaluation Rev. 34 (3) (2006)
Mohsen Bayati, Devavrat Shah, Mayank Sharma
Maximum weight matching via max-product belief propagation. ISIT (2005)
Shubha U. Nabar, Neha Kumar, Mohsen Bayati, Abtin Keshavarzian
Achieving stability in networks of input-queued switches using a local online scheduling policy. GLOBECOM (2005)
Mohsen Bayati, Devavrat Shah, Mayank Sharma
Maximum Weight Matching via Max-Product Belief Propagation CoRR (2005)