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ORCIDMohsen Bayati
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2020 – today
- 2024
[j20]Ruoxuan Xiong
, Susan Athey, Mohsen Bayati, Guido Imbens:
Optimal Experimental Design for Staggered Rollouts. Manag. Sci. 70(8): 5317-5336 (2024)- [i24]Junyu Cao, Mohsen Bayati:
A Probabilistic Approach for Alignment with Human Comparisons. CoRR abs/2403.10771 (2024) - [i23]William Overman, Jacqueline Jil Vallon, Mohsen Bayati:
Aligning Model Properties via Conformal Risk Control. CoRR abs/2406.18777 (2024) - 2023
- [j19]Nima Hamidi, Mohsen Bayati:
Technical Note - The Elliptical Potential Lemma for General Distributions with an Application to Linear Thompson Sampling. Oper. Res. 71(4): 1434-1439 (2023) - [i22]Yuwei Luo, Mohsen Bayati:
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits. CoRR abs/2306.14872 (2023) - 2022
- [j18]Nima Hamidi, Mohsen Bayati:
On Low-rank Trace Regression under General Sampling Distribution. J. Mach. Learn. Res. 23: 321:1-321:49 (2022) - [c22]Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati:
Thompson Sampling Efficiently Learns to Control Diffusion Processes. NeurIPS 2022 - [i21]Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati:
Thompson Sampling Efficiently Learns to Control Diffusion Processes. CoRR abs/2206.09977 (2022) - [i20]Mohsen Bayati, Junyu Cao, Wanning Chen:
Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms. CoRR abs/2210.00340 (2022) - 2021
- [j17]Ali Reza Sharafat, Mohsen Bayati:
PatientFlowNet: A Deep Learning Approach to Patient Flow Prediction in Emergency Departments. IEEE Access 9: 45552-45561 (2021) - [j16]Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi:
Mostly Exploration-Free Algorithms for Contextual Bandits. Manag. Sci. 67(3): 1329-1349 (2021) - [i19]Nima Hamidi, Mohsen Bayati:
The Randomized Elliptical Potential Lemma with an Application to Linear Thompson Sampling. CoRR abs/2102.07987 (2021) - [i18]Wanning Chen, Mohsen Bayati:
Learning to Recommend Using Non-Uniform Data. CoRR abs/2110.11248 (2021) - 2020
- [j15]Hamsa Bastani, Mohsen Bayati:
Online Decision Making with High-Dimensional Covariates. Oper. Res. 68(1): 276-294 (2020) - [c21]Carolyn Kim, Mohsen Bayati:
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling. AISTATS 2020: 445-455 - [c20]Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi:
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms. NeurIPS 2020 - [i17]Nima Hamidi, Mohsen Bayati:
A General Framework to Analyze Stochastic Linear Bandit. CoRR abs/2002.05152 (2020) - [i16]Mohsen Bayati, Nima Hamidi, Ramesh Johari, Khashayar Khosravi:
Optimal and Greedy Algorithms for Multi-Armed Bandits with Many Arms. CoRR abs/2002.10121 (2020) - [i15]Carolyn Kim, Mohsen Bayati:
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling. CoRR abs/2002.11589 (2020) - [i14]Nima Hamidi, Mohsen Bayati:
On Worst-case Regret of Linear Thompson Sampling. CoRR abs/2006.06790 (2020)
2010 – 2019
- 2019
- [j14]Murat A. Erdogdu, Mohsen Bayati, Lee H. Dicker:
Scalable Approximations for Generalized Linear Problems. J. Mach. Learn. Res. 20: 7:1-7:45 (2019) - [j13]Hamsa Bastani, Joel Goh, Mohsen Bayati:
Evidence of Upcoding in Pay-for-Performance Programs. Manag. Sci. 65(3): 1042-1060 (2019) - [c19]Nima Hamidi, Mohsen Bayati, Kapil Gupta:
Personalizing Many Decisions with High-Dimensional Covariates. NeurIPS 2019: 11469-11480 - [i13]Nima Hamidi, Mohsen Bayati:
On Low-rank Trace Regression under General Sampling Distribution. CoRR abs/1904.08576 (2019) - 2018
- [j12]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): 697-715 (2018) - [j11]Mohsen Bayati, Andrea Montanari, Amin Saberi:
Generating Random Networks Without Short Cycles. Oper. Res. 66(5): 1227-1246 (2018) - 2017
- [i12]Hamsa Bastani, Mohsen Bayati, Khashayar Khosravi:
Exploiting the Natural Exploration In Contextual Bandits. CoRR abs/1704.09011 (2017) - 2016
- [j10]Erjie Ang, Sara Kwasnick, Mohsen Bayati, Erica L. Plambeck, Michael Aratow:
Accurate Emergency Department Wait Time Prediction. Manuf. Serv. Oper. Manag. 18(1): 141-156 (2016) - [c18]Murat A. Erdogdu, Lee H. Dicker, Mohsen Bayati:
Scaled Least Squares Estimator for GLMs in Large-Scale Problems. NIPS 2016: 3324-3332 - 2015
- [j9]Joel Goh, Margrét V. Bjarnadóttir, Mohsen Bayati, Stefanos A. Zenios:
Active Postmarketing Drug Surveillance for Multiple Adverse Events. Oper. Res. 63(6): 1528-1546 (2015) - [j8]Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Yash Kanoria, Andrea Montanari:
Bargaining dynamics in exchange networks. J. Econ. Theory 156: 417-454 (2015) - [c17]Mohsen Bayati, Sonia Bhaskar, Andrea Montanari:
A Low-Cost Method for Multiple Disease Prediction. AMIA 2015 - [c16]Erika Strandberg, Mohsen Bayati:
Matrix Completion Methods and Imputation for EMR-Based Prediction. AMIA 2015 - 2013
- [j7]Mohsen Bayati, David F. Gleich, Amin Saberi, Ying Wang:
Message-Passing Algorithms for Sparse Network Alignment. ACM Trans. Knowl. Discov. Data 7(1): 3:1-3:31 (2013) - [c15]Mohsen Bayati, Murat A. Erdogdu, Andrea Montanari:
Estimating LASSO Risk and Noise Level. NIPS 2013: 944-952 - 2012
- [j6]Mohsen Bayati, Andrea Montanari:
The LASSO Risk for Gaussian Matrices. IEEE Trans. Inf. Theory 58(4): 1997-2017 (2012) - [c14]Mohsen Bayati, Marc Lelarge, Andrea Montanari:
Universality in polytope phase transitions and iterative algorithms. ISIT 2012: 1643-1647 - [i11]Mohsen Bayati, Marc Lelarge, Andrea Montanari:
Universality in Polytope Phase Transitions and Message Passing Algorithms. CoRR abs/1207.7321 (2012) - 2011
- [j5]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): 989-1011 (2011) - [j4]Mohsen Bayati, Andrea Montanari:
The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing. IEEE Trans. Inf. Theory 57(2): 764-785 (2011) - [c13]Mohsen Bayati:
Session MA3b: Graphical models in signal processing I. ACSCC 2011: 40-42 - [c12]Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari:
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks. SODA 2011: 1518-1537 - 2010
- [j3]Mohsen Bayati, Jeong Han Kim, Amin Saberi:
A Sequential Algorithm for Generating Random Graphs. Algorithmica 58(4): 860-910 (2010) - [c11]Mohsen Bayati, Andrea Montanari:
The dynamics of message passing on dense graphs, with applications to compressed sensing. ISIT 2010: 1528-1532 - [c10]Mohsen Bayati, José Bento, Andrea Montanari:
The LASSO risk: asymptotic results and real world examples. NIPS 2010: 145-153 - [c9]Mohsen Bayati, David Gamarnik, Prasad Tetali:
Combinatorial approach to the interpolation method and scaling limits in sparse random graphs. STOC 2010: 105-114 - [i10]Mohsen Bayati, Andrea Montanari:
The dynamics of message passing on dense graphs, with applications to compressed sensing. CoRR abs/1001.3448 (2010) - [i9]Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari:
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks. CoRR abs/1004.2079 (2010) - [i8]Mohsen Bayati, Andrea Montanari:
The LASSO risk for gaussian matrices. CoRR abs/1008.2581 (2010)
2000 – 2009
- 2009
- [c8]Mohsen Bayati, Margot Gerritsen, David F. Gleich, Amin Saberi, Ying Wang:
Algorithms for Large, Sparse Network Alignment Problems. ICDM 2009: 705-710 - [c7]Mohsen Bayati, Andrea Montanari, Amin Saberi:
Generating random graphs with large girth. SODA 2009: 566-575 - [i7]Mohsen Bayati, Alfredo Braunstein, Riccardo Zecchina:
A rigorous analysis of the cavity equations for the minimum spanning tree. CoRR abs/0901.1684 (2009) - [i6]Yashodhan Kanoria, Mohsen Bayati, Christian Borgs, Jennifer T. Chayes, Andrea Montanari:
A Natural Dynamics for Bargaining on Exchange Networks. CoRR abs/0911.1767 (2009) - 2008
- [j2]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality. IEEE Trans. Inf. Theory 54(3): 1241-1251 (2008) - [i5]Mohsen Bayati, Andrea Montanari, Amin Saberi:
Generating Random Graphs with Large Girth. CoRR abs/0811.2853 (2008) - 2007
- [c6]Mohsen Bayati, Jeong Han Kim, Amin Saberi:
A Sequential Algorithm for Generating Random Graphs. APPROX-RANDOM 2007: 326-340 - [c5]Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Mayank Sharma:
Iterative Scheduling Algorithms. INFOCOM 2007: 445-453 - [c4]Mohsen Bayati, David Gamarnik, Dimitriy A. Katz, Chandra Nair, Prasad Tetali:
Simple deterministic approximation algorithms for counting matchings. STOC 2007: 122-127 - [i4]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 abs/0709.1190 (2007) - [i3]Mohsen Bayati, Jeong Han Kim, Amin Saberi:
A Sequential Algorithm for Generating Random Graphs. CoRR abs/cs/0702124 (2007) - 2006
- [j1]Mohsen Bayati, Mayank Sharma, Mark S. Squillante:
Optimal scheduling in a multiserver stochastic network. SIGMETRICS Perform. Evaluation Rev. 34(3): 45-47 (2006) - [c3]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm. ISIT 2006: 557-561 - [i2]Mohsen Bayati, Chandra Nair:
A rigorous proof of the cavity method for counting matchings. CoRR abs/cond-mat/0607290 (2006) - 2005
- [c2]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: 5 - [c1]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
Maximum weight matching via max-product belief propagation. ISIT 2005: 1763-1767 - [i1]Mohsen Bayati, Devavrat Shah, Mayank Sharma:
Maximum Weight Matching via Max-Product Belief Propagation. CoRR abs/cs/0508101 (2005)
Coauthor Index
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