default search action
Calvin Tsay
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j10]Radu Burtea, Calvin Tsay
:
Constrained continuous-action reinforcement learning for supply chain inventory management. Comput. Chem. Eng. 181: 108518 (2024) - [j9]Tom McDonald, Calvin Tsay
Mixed-integer optimisation of graph neural networks for computer-aided molecular design. Comput. Chem. Eng. 185: 108660 (2024) - [i22]Joel A. Paulson, Calvin Tsay:
Bayesian optimization as a flexible and efficient design framework for sustainable process systems. CoRR abs/2401.16373 (2024) - [i21]Jose Pablo Folch, Calvin Tsay, Robert M. Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný:
Transition Constrained Bayesian Optimization via Markov Decision Processes. CoRR abs/2402.08406 (2024) - [i20]Jixiang Qing, Becky D. Langdon, Robert M. Lee, Behrang Shafei, Mark van der Wilk, Calvin Tsay, Ruth Misener:
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization. CoRR abs/2406.02352 (2024) - [i19]Philip Sosnin, Mark Niklas Müller, Maximilian Baader, Calvin Tsay, Matthew Wicker:
Certified Robustness to Data Poisoning in Gradient-Based Training. CoRR abs/2406.05670 (2024) - [i18]Matthew Wicker, Philip Sosnin, Adrianna Janik, Mark N. Müller, Adrian Weller, Calvin Tsay:
Certificates of Differential Privacy and Unlearning for Gradient-Based Training. CoRR abs/2406.13433 (2024) - [i17]Maximilian Bloor, Akhil Ahmed, Niki Kotecha, Mehmet Mercangöz, Calvin Tsay, Ehecatl Antonio del Rio-Chanona:
Control-Informed Reinforcement Learning for Chemical Processes. CoRR abs/2408.13566 (2024) - 2023
- [j8]Jose Pablo Folch
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization. Comput. Chem. Eng. 172: 108194 (2023) - [c7]Shudian Zhao
Model-Based Feature Selection for Neural Networks: A Mixed-Integer Programming Approach. LION 2023: 223-238 - [c6]Shiqiang Zhang, Juan S. Campos, Christian Feldmann, David Walz, Frederik Sandfort, Miriam Mathea, Calvin Tsay, Ruth Misener:
Optimizing over trained GNNs via symmetry breaking. NeurIPS 2023 - [i16]Jaime Sabal Bermúdez, Antonio del Rio-Chanona, Calvin Tsay:
Distributional constrained reinforcement learning for supply chain optimization. CoRR abs/2302.01727 (2023) - [i15]Shudian Zhao, Calvin Tsay, Jan Kronqvist:
Model-based feature selection for neural networks: A mixed-integer programming approach. CoRR abs/2302.10344 (2023) - [i14]Joey Huchette, Gonzalo Muñoz, Thiago Serra, Calvin Tsay:
When Deep Learning Meets Polyhedral Theory: A Survey. CoRR abs/2305.00241 (2023) - [i13]Jose Pablo Folch, James Odgers, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener:
Practical Path-based Bayesian Optimization. CoRR abs/2312.00622 (2023) - [i12]Tom McDonald, Calvin Tsay, Artur M. Schweidtmann, Neil Yorke-Smith:
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular Design. CoRR abs/2312.01228 (2023) - 2022
- [j7]Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener:
OMLT: Optimization & Machine Learning Toolkit. J. Mach. Learn. Res. 23: 349:1-349:8 (2022) - [c5]Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener:
SnAKe: Bayesian Optimization with Pathwise Exploration. NeurIPS 2022 - [c4]Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener:
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. NeurIPS 2022 - [i11]Alexander Thebelt, Johannes Wiebe, Jan Kronqvist, Calvin Tsay, Ruth Misener:
Maximizing information from chemical engineering data sets: Applications to machine learning. CoRR abs/2201.10035 (2022) - [i10]Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener:
SnAKe: Bayesian Optimization with Pathwise Exploration. CoRR abs/2202.00060 (2022) - [i9]Francesco Ceccon, Jordan Jalving, Joshua Haddad, Alexander Thebelt, Calvin Tsay, Carl D. Laird, Ruth Misener:
OMLT: Optimization & Machine Learning Toolkit. CoRR abs/2202.02414 (2022) - [i8]Jan Kronqvist, Ruth Misener, Calvin Tsay:
P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints. CoRR abs/2202.05198 (2022) - [i7]Alexander Thebelt, Calvin Tsay, Robert M. Lee, Nathan Sudermann-Merx, David Walz, Behrang Shafei, Ruth Misener:
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. CoRR abs/2207.00879 (2022) - [i6]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. CoRR abs/2211.06149 (2022) - 2021
- [j6]Calvin Tsay:
Sobolev trained neural network surrogate models for optimization. Comput. Chem. Eng. 153: 107419 (2021) - [c3]Jan Kronqvist
Between Steps: Intermediate Relaxations Between Big-M and Convex Hull Formulations. CPAIOR 2021: 299-314 - [c2]Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener:
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks. NeurIPS 2021: 3068-3080 - [i5]Jan Kronqvist, Ruth Misener, Calvin Tsay:
Between steps: Intermediate relaxations between big-M and convex hull formulations. CoRR abs/2101.12708 (2021) - [i4]Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener:
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks. CoRR abs/2102.04373 (2021) - [i3]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. CoRR abs/2111.03140 (2021) - 2020
- [i2]Calvin Tsay, Yanan Cao, Yajun Wang, Jesus Flores-Cerrillo, Michael Baldea:
Identification and online updating of dynamic models for demand response of an industrial air separation unit. CoRR abs/2009.13999 (2020)
2010 – 2019
- 2019
- [j5]Calvin Tsay, Ankur Kumar, Jesus Flores-Cerrillo, Michael Baldea:
Optimal demand response scheduling of an industrial air separation unit using data-driven dynamic models. Comput. Chem. Eng. 126: 22-34 (2019) - [c1]Calvin Tsay, Zheng Li:
Automating Visual Inspection of Lyophilized Drug Products With Multi-Input Deep Neural Networks. CASE 2019: 1802-1807 - [i1]Calvin Tsay, Michael Baldea:
Learning latent variable dynamic models for integrated production scheduling and control. CoRR abs/1904.04796 (2019) - 2018
- [j4]Calvin Tsay, Richard C. Pattison, Michael R. Piana, Michael Baldea
A survey of optimal process design capabilities and practices in the chemical and petrochemical industries. Comput. Chem. Eng. 112: 180-189 (2018) - [j3]Lisia S. Dias, Richard C. Pattison, Calvin Tsay, Michael Baldea, Marianthi G. Ierapetritou:
A simulation-based optimization framework for integrating scheduling and model predictive control, and its application to air separation units. Comput. Chem. Eng. 113: 139-151 (2018) - 2017
- [j2]Richard C. Pattison, Calvin Tsay, Michael Baldea:
Pseudo-transient models for multiscale, multiresolution simulation and optimization of intensified reaction/separation/recycle processes: Framework and a dimethyl ether production case study. Comput. Chem. Eng. 105: 161-172 (2017) - [j1]Calvin Tsay, Richard C. Pattison, Michael Baldea, Ben G. Weinstein, Steven J. Hodson, Robert D. Johnson:
A superstructure-based design of experiments framework for simultaneous domain-restricted model identification and parameter estimation. Comput. Chem. Eng. 107: 408-426 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-30 00:10 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: