Ruth Misener

Orcid: 0000-0001-5612-5417

Affiliations:
  • Imperial College London, UK


According to our database1, Ruth Misener authored at least 68 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Dependence in constrained Bayesian optimization.
Optim. Lett., July, 2024

BoFire: Bayesian Optimization Framework Intended for Real Experiments.
CoRR, 2024

System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization.
CoRR, 2024

Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays.
CoRR, 2024

Mixed-Output Gaussian Process Latent Variable Models.
CoRR, 2024

Transition Constrained Bayesian Optimization via Markov Decision Processes.
CoRR, 2024

Augmenting optimization-based molecular design with graph neural networks.
Comput. Chem. Eng., 2024

Verifying message-passing neural networks via topology-based bounds tightening.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Formulating data-driven surrogate models for process optimization.
Comput. Chem. Eng., November, 2023

Data augmentation driven by optimization for membrane separation process synthesis.
Comput. Chem. Eng., September, 2023

Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization.
Comput. Chem. Eng., April, 2023

Practical Path-based Bayesian Optimization.
CoRR, 2023

Gaussian Processes for Monitoring Air-Quality in Kampala.
CoRR, 2023

Optimizing over trained GNNs via symmetry breaking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
A robust approach to warped Gaussian process-constrained optimization.
Math. Program., 2022

OMLT: Optimization & Machine Learning Toolkit.
J. Mach. Learn. Res., 2022

P-split formulations: A class of intermediate formulations between big-M and convex hull for disjunctive constraints.
CoRR, 2022

Maximizing information from chemical engineering data sets: Applications to machine learning.
CoRR, 2022

Solving the pooling problem at scale with extensible solver GALINI.
Comput. Chem. Eng., 2022

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SnAKe: Bayesian Optimization with Pathwise Exploration.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Approximate and robust bounded job start scheduling for Royal Mail delivery offices.
J. Sched., 2021

Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded.
INFORMS J. Comput., 2021

Exact lexicographic scheduling and approximate rescheduling.
Eur. J. Oper. Res., 2021

Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles.
CoRR, 2021

Design of Dynamic Experiments for Black-Box Model Discrimination.
CoRR, 2021

ENTMOOT: A framework for optimization over ensemble tree models.
Comput. Chem. Eng., 2021

Process systems engineering - <i>The generation next?</i>.
Comput. Chem. Eng., 2021

Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Between Steps: Intermediate Relaxations Between Big-M and Convex Hull Formulations.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2021

2020
SUSPECT: MINLP special structure detector for Pyomo.
Optim. Lett., 2020

Design of Experiments for Verifying Biomolecular Networks.
CoRR, 2020

Approximation algorithms for process systems engineering.
Comput. Chem. Eng., 2020

AI-assisted Schedule Explainer for Nurse Rostering.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering.
IEEE Trans. Biomed. Eng., 2019

QPLIB: a library of quadratic programming instances.
Math. Program. Comput., 2019

A multilevel analysis of the Lasserre hierarchy.
Eur. J. Oper. Res., 2019

Approximating Bounded Job Start Scheduling with Application in Royal Mail Deliveries under Uncertainty.
CoRR, 2019

GPdoemd: A Python package for design of experiments for model discrimination.
Comput. Chem. Eng., 2019

Approximating Bounded Job Start Scheduling with Application in Royal Mail Deliveries Under Uncertainty.
Proceedings of the Combinatorial Optimization and Applications, 2019

Argumentation for Explainable Scheduling.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Piecewise parametric structure in the pooling problem: from sparse strongly-polynomial solutions to NP-hardness.
J. Glob. Optim., 2018

Designing and Implementing Algorithms for Mixed-Integer Nonlinear Optimization (Dagstuhl Seminar 18081).
Dagstuhl Reports, 2018

Argumentation for Explainable Scheduling (Full Paper with Proofs).
CoRR, 2018

GPdoemd: a python package for design of experiments for model discrimination.
CoRR, 2018

Exact Lexicographic Scheduling and Approximate Rescheduling.
CoRR, 2018

Optimization with Gradient-Boosted Trees and Risk Control.
CoRR, 2018

Satisfiability modulo theories for process systems engineering.
Comput. Chem. Eng., 2018

Reprint of: Heuristics with performance guarantees for the minimum number of matches problem in heat recovery network design.
Comput. Chem. Eng., 2018

Heuristics with performance guarantees for the minimum number of matches problem in heat recovery network design.
Comput. Chem. Eng., 2018

Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Designing Energy-Efficient Heat Recovery Networks using Mixed-Integer Nonlinear Optimisation.
Proceedings of the 16th International Symposium on Experimental Algorithms, 2017

2016
A Personalized Framework for Dynamic Modeling of Disease Trajectories in Chronic Lymphocytic Leukemia.
IEEE Trans. Biomed. Eng., 2016

Global optimization advances in Mixed-Integer Nonlinear Programming, MINLP, and Constrained Derivative-Free Optimization, CDFO.
Eur. J. Oper. Res., 2016

Optimising heat exchanger network synthesis using convexity properties of the logarithmic mean temperature difference.
Comput. Chem. Eng., 2016

2015
Dynamically generated cutting planes for mixed-integer quadratically constrained quadratic programs and their incorporation into GloMIQO 2.
Optim. Methods Softw., 2015

Bayesian Optimization with Dimension Scheduling: Application to Biological Systems.
CoRR, 2015

A systematic framework for the design, simulation and optimization of personalized healthcare: Making and healing blood.
Comput. Chem. Eng., 2015

2014
A Framework for Globally Optimizing Mixed-Integer Signomial Programs.
J. Optim. Theory Appl., 2014

ANTIGONE: Algorithms for coNTinuous / Integer Global Optimization of Nonlinear Equations.
J. Glob. Optim., 2014

Global superstructure optimisation of red blood cell production in a parallelised hollow fibre bioreactor.
Comput. Chem. Eng., 2014

2013
GloMIQO: Global mixed-integer quadratic optimizer.
J. Glob. Optim., 2013

2012
Global optimization of mixed-integer quadratically-constrained quadratic programs (MIQCQP) through piecewise-linear and edge-concave relaxations.
Math. Program., 2012

A Generalization of the Classical αBB Convex Underestimation via Diagonal and Nondiagonal Quadratic Terms.
J. Optim. Theory Appl., 2012

Global optimization of a MINLP process synthesis model for thermochemical based conversion of hybrid coal, biomass, and natural gas to liquid fuels.
Comput. Chem. Eng., 2012

2011
APOGEE: Global optimization of standard, generalized, and extended pooling problems via linear and logarithmic partitioning schemes.
Comput. Chem. Eng., 2011

2010
Mathematical modeling and global optimization of large-scale extended pooling problems with the (EPA) complex emissions constraints.
Comput. Chem. Eng., 2010


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