Neural Network Models for Contextual Regression.

Seksan Kiatsupaibul Chulalongkorn University, Bangkok, Thailand https://orcid.org/0000-0002-2075-9183

Seksan Kiatsupaibul Pakawan Chansiripas Neural Network Models for Contextual Regression. 2026 March abs/2603.24400 CoRR https://doi.org/10.48550/arXiv.2603.24400 db/journals/corr/corr2603.html#abs-2603-24400 streams/journals/corr

Seksan Kiatsupaibul Giulia Pedrielli Christopher Thomas Ryan Robert L. Smith 0002 Zelda B. Zabinsky Monte Carlo Fictitious Play for Finding Pure Nash Equilibria in Identical Interest Games. 155-172 2024 6 INFORMS J. Optim. 3-4 https://doi.org/10.1287/ijoo.2021.0024 db/journals/informsjop/informsjop6.html#KiatsupaibulPRSZ24 streams/journals/informsjop

Puvarith Veerabulyarith Seksan Kiatsupaibul A Fairness Parameter Selection Method for Convex Fairness-aware Classification Models. 40-45 2023 MLMI https://doi.org/10.1145/3635638.3635645 conf/mlmi2/2023 db/conf/mlmi2/mlmi2023.html#VeerabulyarithK23

Pojtanut Manopanjasiri Kantapong Visantavarakul Seksan Kiatsupaibul Ungeneralizable Contextual Logistic Bandit in Credit Scoring. 2022 abs/2212.07632 CoRR https://doi.org/10.48550/arXiv.2212.07632 db/journals/corr/corr2212.html#abs-2212-07632

Zelda B. Zabinsky Pattamon Dulyakupt Shabnam Zangeneh-Khamooshi Cao Xiao Pengbo Zhang Seksan Kiatsupaibul Joseph A. Heim Optimal collection of medical specimens and delivery to central laboratory. 537-564 2020 287 Ann. Oper. Res. 1 https://doi.org/10.1007/s10479-019-03260-9 https://www.wikidata.org/entity/Q127859596 db/journals/anor/anor287.html#ZabinskyDZXZKH20

Sorawit Saengkyongam Anthony J. Hayter Seksan Kiatsupaibul Wei Liu 0030 Efficient computation of the stochastic behavior of partial sum processes. 343-358 2020 35 Comput. Stat. 1 https://doi.org/10.1007/s00180-019-00920-z https://www.wikidata.org/entity/Q127226610 db/journals/cstat/cstat35.html#SaengkyongamHK020

Seksan Kiatsupaibul Robert L. Smith 0002 Zelda B. Zabinsky Single observation adaptive search for discrete and continuous stochastic optimization. 666-673 2020 48 Oper. Res. Lett. 5 https://doi.org/10.1016/j.orl.2020.08.004 db/journals/orl/orl48.html#KiatsupaibulSZ20

Wanpen Chantarangsi Wei Liu 0030 Frank Bretz Seksan Kiatsupaibul Anthony J. Hayter Normal probability plots with confidence for the residuals in linear regression. 367-379 2018 47 Commun. Stat. Simul. Comput. 2 https://doi.org/10.1080/03610918.2016.1165840 db/journals/cssc/cssc47.html#ChantarangsiLBK18

Seksan Kiatsupaibul Robert L. Smith 0002 Zelda B. Zabinsky Single Observation Adaptive Search for Continuous Simulation Optimization. 1713-1727 2018 66 Oper. Res. 6 https://doi.org/10.1287/opre.2018.1759 https://www.wikidata.org/entity/Q128785770 db/journals/ior/ior66.html#KiatsupaibulSZ18

Seksan Kiatsupaibul Anthony J. Hayter Wei Liu 0030 Rank constrained distribution and moment computations. 229-242 2017 105 Comput. Stat. Data Anal. https://doi.org/10.1016/j.csda.2016.08.009 db/journals/csda/csda105.html#KiatsupaibulHL17

Nuwee Wiwatwattana Anthony J. Hayter Seksan Kiatsupaibul Win-probabilities for comparing two binary outcomes. 204-214 2017 46 Commun. Stat. Simul. Comput. 1 https://doi.org/10.1080/03610918.2014.957848 db/journals/cssc/cssc46.html#WiwatwattanaHK17

David D. Linz Zelda B. Zabinsky Seksan Kiatsupaibul Robert L. Smith 0002 A computational comparison of simulation optimization methods using single observations within a shrinking ball on noisy black-box functions with mixed integer and continuous domains. 2045-2056 2017 WSC https://doi.org/10.1109/WSC.2017.8247938 http://dl.acm.org/citation.cfm?id=3242352 conf/wsc/2017 db/conf/wsc/wsc2017.html#LinzZK017

Seksan Kiatsupaibul Robert L. Smith 0002 Zelda B. Zabinsky Solving infinite horizon optimization problems through analysis of a one-dimensional global optimization problem. 711-727 2016 66 J. Glob. Optim. 4 https://doi.org/10.1007/s10898-016-0423-7 db/journals/jgo/jgo66.html#KiatsupaibulSZ16

N. Srimaneekarn Seksan Kiatsupaibul Anthony J. Hayter Wei Liu 0030 Estimating Drug Shelf-life with Unknown Lot-to-lot Variability. 2195-2207 2015 44 Commun. Stat. Simul. Comput. 8 https://doi.org/10.1080/03610918.2013.854906 db/journals/cssc/cssc44.html#SrimaneekarnKHL15

Seksan Kiatsupaibul Robert L. Smith 0002 Zelda B. Zabinsky Improving hit-and-run with single observations for continuous simulation optimization. 3569-3576 2015 WSC https://doi.org/10.1109/WSC.2015.7408516 http://dl.acm.org/citation.cfm?id=2889099 conf/wsc/2015 db/conf/wsc/wsc2015.html#KiatsupaibulSZ15

Huseyin Onur Mete Yanfang Shen Zelda B. Zabinsky Seksan Kiatsupaibul Robert L. Smith 0002 Pattern discrete and mixed Hit-and-Run for global optimization. 597-627 2011 50 J. Glob. Optim. 4 https://doi.org/10.1007/s10898-010-9534-8 db/journals/jgo/jgo50.html#MeteSZKS11

Seksan Kiatsupaibul Robert L. Smith 0002 Zelda B. Zabinsky An analysis of a variation of hit-and-run for uniform sampling from general regions. 16:1-16:11 2011 21 ACM Trans. Model. Comput. Simul. 3 https://doi.org/10.1145/1921598.1921600 db/journals/tomacs/tomacs21.html#KiatsupaibulSZ11

Stephen Baumert Archis Ghate Seksan Kiatsupaibul Yanfang Shen Robert L. Smith 0002 Zelda B. Zabinsky Discrete Hit-and-Run for Sampling Points from Arbitrary Distributions Over Subsets of Integer Hyperrectangles. 727-739 2009 57 Oper. Res. 3 https://doi.org/10.1287/opre.1080.0600 db/journals/ior/ior57.html#BaumertGKSSZ09

Yanfang Shen Seksan Kiatsupaibul Zelda B. Zabinsky Robert L. Smith 0002 An analytically derived cooling schedule for simulated annealing. 333-365 2007 38 J. Glob. Optim. 3 https://doi.org/10.1007/s10898-006-9068-2 db/journals/jgo/jgo38.html#ShenKZS07

Stephen Baumert Frank Bretz Pakawan Chansiripas Wanpen Chantarangsi Pattamon Dulyakupt Archis Ghate Anthony J. Hayter Joseph A. Heim David D. Linz Wei Liu 0030 Pojtanut Manopanjasiri Huseyin Onur Mete Giulia Pedrielli Christopher Thomas Ryan Sorawit Saengkyongam Yanfang Shen Robert L. Smith 0002 N. Srimaneekarn Puvarith Veerabulyarith Kantapong Visantavarakul Nuwee Wiwatwattana Cao Xiao Zelda B. Zabinsky Shabnam Zangeneh-Khamooshi Pengbo Zhang