Publications

2025 (5)

  • Antonio Alc'antara, Carlos Ruiz, Calvin Tsay, A quantile neural network framework for two-stage stochastic optimization, Expert Systems with Applications, pp.127876, 2025
  • Maximilian Bloor, Akhil Ahmed, Niki Kotecha, Mehmet Mercangöz, Calvin Tsay, Ehecatl Antonio del Río-Chanona, Control-Informed Reinforcement Learning for Chemical Processes, Industrial & Engineering Chemistry Research, volume 64, pp.4966–4978, 2025
  • Yilin Xie, Shiqiang Zhang, Joel Paulson, Calvin Tsay, Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation, 28th International Conference on Artificial Intelligence and Statistics, 2025
  • Maximilian Bloor, Tom Savage, Calvin Tsay, Antonio del Rio Chanona, Max Mowbray, Gaussian Process Q-Learning for Finite-Horizon Markov Decision Process, Reinforcement Learning Conference, 2025
  • Jan Kronqvist, Ruth Misener, Calvin Tsay, P-split formulations: a class of intermediate formulations between big-M and convex hull for disjunctive constraints, Mathematical Programming, pp.1–38, 2025

2024 (5)

  • Tom McDonald, Calvin Tsay, Artur M Schweidtmann, Neil Yorke-Smith, Mixed-integer optimisation of graph neural networks for computer-aided molecular design, Computers & Chemical Engineering, volume 185, pp.108660, 2024
  • Radu Burtea, Calvin Tsay, Constrained continuous-action reinforcement learning for supply chain inventory management, Computers & Chemical Engineering, volume 181, pp.108518, 2024
  • Joel A Paulson, Calvin Tsay, Bayesian optimization as a flexible and efficient design framework for sustainable process systems, Current Opinion in Green and Sustainable Chemistry, pp.100983, 2024
  • Jose Pablo Folch, Calvin Tsay, Robert Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojm'ir Mutny, Transition constrained Bayesian optimization via Markov decision processes, Advances in Neural Information Processing Systems, volume 37, pp.88194–88235, 2024
  • Philip Sosnin, Calvin Tsay, Scaling mixed-integer programming for certification of neural network controllers using bounds tightening, 2024 IEEE 63rd Conference on Decision and Control (CDC), 2024

2023 (4)

  • Jose Pablo Folch, Robert M Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener, Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization, Computers & Chemical Engineering, volume 172, pp.108194, 2023
  • Shudian Zhao, Calvin Tsay, Jan Kronqvist, Model-based feature selection for neural networks: A mixed-integer programming approach, International Conference on Learning and Intelligent Optimization, pp.223–238, 2023
  • Shiqiang Zhang, Juan Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener, Optimizing over trained GNNs via symmetry breaking, Advances in Neural Information Processing Systems, volume 36, pp.44898–44924, 2023
  • Calvin Tsay, Staffan Qvist, Integrating process and power grid models for optimal design and demand response operation of giga-scale green hydrogen, AIChE Journal, volume 69, pp.e18268, 2023

2022 (5)

  • Alexander Thebelt, Calvin Tsay, Robert M Lee, Nathan Sudermann-Merx, David Walz, Tom Tranter, Ruth Misener, Multi-objective constrained optimization for energy applications via tree ensembles, Applied Energy, volume 306, pp.118061, 2022
  • Alexander Thebelt, Johannes Wiebe, Jan Kronqvist, Calvin Tsay, Ruth Misener, Maximizing information from chemical engineering data sets: Applications to machine learning, Chemical Engineering Science, volume 252, pp.117469, 2022
  • Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D Laird, Ruth Misener, OMLT: Optimization & machine learning toolkit, Journal of Machine Learning Research, volume 23, pp.1–8, 2022
  • Jose Pablo Folch, Shiqiang Zhang, Robert Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener, SnAKe: Bayesian optimization with pathwise exploration, Advances in Neural Information Processing Systems, volume 35, pp.35226–35239, 2022
  • Alexander Thebelt, Calvin Tsay, Robert Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener, Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces, Advances in Neural Information Processing Systems, volume 35, pp.37401–37415, 2022

2021 (3)

  • Jan Kronqvist, Ruth Misener, Calvin Tsay, Between steps: Intermediate relaxations between big-M and convex hull formulations, International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), pp.299–314, 2021
  • Calvin Tsay, Sobolev trained neural network surrogate models for optimization, Computers & Chemical Engineering, volume 153, pp.107419, 2021
  • Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener, Partition-based formulations for mixed-integer optimization of trained ReLU neural networks, Advances in Neural Information Processing Systems, volume 34, 2021

2019 (3)

2018 (17)

2017 (5)

2016 (17)

2015 (25)

2014 (23)

2013 (21)

2012 (27)

2011 (21)

2010 (14)

2009 (26)

2008 (11)

2007 (5)

2006 (6)

  • Panos Parpas, Berc Rustem, Efstratios N. Pistikopoulos, Linearly constrained global optimization and stochastic differential equations, JOURNAL OF GLOBAL OPTIMIZATION, volume 36, pp.191-217, 2006
  • P. Parpas, B. Rustem, Global optimization of the scenario generation and portfolio selection problems, Lecture Notes in Computer Science, pp.908–917, 2006
  • P. Parpas, B. Rustem, E.N. Pistikopoulos, Linearly constrained global optimization and stochastic differential equations, Journal of Global Optimization, volume 36, pp.191–217, 2006
  • N. P. Faisca, V. Dua, P. M. Saraiva, B. Rustem, E. N. Pistikopoulos, A Global Parametric Programming Optimisation Strategy for Multilevel Problems, 16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING, volume 21, pp.215-220, 2006, Joint Conference Event of the 9th Symposium on Process Systems Engineering (PSE 2006)/16th European Symposium on Computer Aided Process Engineering (ESCAPE-16), Garmisch-Partenkirchen, GERMANY, JUL 09-13, 2006
  • Nalan Gulpinar, Peter Harrison, Berc Rustem, Louis-Francois Pau, Performance Optimization of Mean Response Time in a Tandem Router Network with Batch Arrivals, 2006 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, VOLS 1 AND 2, pp.907-910, 2006, IEEE/IFIP Network Operations and Management Symposium, Vancouver, CANADA, APR 03-07, 2006
  • Nalan Gulpinar, Pete Harrison, Berc Rustem, Worst-case analysis of router networks with rival queueing models, Computer and Information Sciences - ISCIS 2006, Proceedings, volume 4263, pp.897-907, 2006, 21st International Symposium on Computer and Information Sciences (ISCIS 2006), Istanbul, TURKEY, NOV 01-03, 2006

2005 (1)

  • I Akrotirianakis, B Rustem, Globally convergent interior-point algorithm for nonlinear programming, JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, volume 125, pp.497-521, 2005

2004 (3)

  • N Gulpinar, B Rustem, R Settergren, Simulation and optimization approaches to scenario tree generation, JOURNAL OF ECONOMIC DYNAMICS & CONTROL, volume 28, pp.1291-1315, 2004
  • M Ferris, K Judd, B Rustem, Special issue on Mathematical Programming - Foreword, JOURNAL OF ECONOMIC DYNAMICS & CONTROL, volume 28, pp.1227, 2004
  • MA Osorio, N Gulpinar, B Rustem, R Settergren, Post-tax optimization with stochastic programming, EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, volume 157, pp.152-168, 2004
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