Paulson, J.

Authored

(179b) From Theory to Impact: Unlocking the Power of Bayesian Optimization on Real-World Science and Engineering Systems
2024 Spring Meeting and 20th Global Congress on Process Safety (ISBN: 978-0-8169-1121-9)
(15h) High-Dimensional Bayesian Optimization of Molecular Properties Using Quantitative Structure-Property Relationships on Sparse Axis-Aligned Subspaces
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(317f) Towards Personalized Cold Plasma Treatments Using Safe Explorative Bayesian Optimization
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(282c) Constrained Bayesian Optimization for Expensive Noisy Hybrid Models Using Differentiable Quantile Function Approximations
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(430c) A Bayesian Optimization Framework for Solving Generic Inverse Optimization Problems
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(347g) The Quantum Gaussian Process: Specialized Gaussian Process Modifications for Efficient Quantum-Classical Optimization
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(207c) Necessary Optimality-Constrained Bayesian Optimization (NOBO) for Efficiently Learning Complex Control Policies from Closed-Loop Data
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(400a) Efficient Flexibility Analysis of Computationally Expensive Black-Box Simulators Using Quantile-Based Bayesian Optimization
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(95g) A Compressed Sensing Framework for Learning Interpretable Molecular Property Models from Limited Data: Application to Discovery of Sustainable Battery Materials
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(150b) The Next Epoch of Model Predictive Control: Exploiting Machine Learning Methods for Approximation and Design
2023 Spring Meeting and 19th Global Congress on Process Safety
(624d) Data-Efficient Automated Tuning of Generic Control Structures Using Adversarially Robust Bayesian Optimization
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(434a) End-to-End Design and Implementation of Robust MPC on Resource-Limited Hardware Using Multi-Objective Bayesian Optimization and Deep Learning
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(234f) Exploiting Grey-Box Hybrid Models in Constrained Bayesian Optimization Using a Smoothed Sample Average Approximation
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(12a) Active Deep Learning for Scalable Approximation of Reachable and Invariant Sets for Mixed-Integer Nonlinear Systems
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(483c) Constrained Robust Bayesian Optimization of Expensive Black-Box Functions Under Uncertainty
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(235f) Data-Efficient Globally Optimal Policy-Based Reinforcement Learning Via Gradient-Accelerated Bayesian Optimization
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(433h) Continuous Multi-Fidelity Bayesian Optimization for Efficient Integrated Process Design and Advanced Control
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(10d) Exact Penalty Bayesian Optimization: No-Regret Data-Driven Optimization with Unknown Equality and Inequality Constraints
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
A Tutorial on Physics-Informed Bayesian Optimization for Multi-Scale Process Design and Operation
2022 Spring Meeting and 18th Global Congress on Process Safety Proceedings
(434b) Enabling Real-Time Synergies in Techno-Ecological Systems Using Adaptive Nonlinear Model Predictive Control
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(176h) Robust Data-Driven Design of Generic Control Structures with Probabilistic Guarantees Using Gaussian Process Emulators
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(485a) Integrated Design and Model Predictive Control of Multiscale Systems Using a Multi-Fidelity Bayesian Optimization Approach
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(644c) Deep Learning-Based Approximate Economic Model Predictive Control with Offset-Free Asymptotic Performance Guarantees Using a Modifier-Adaptation Scheme
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(182d) Physics-Constrained Deep Learning of Unmodeled Physics in Systems Governed By Stochastic Differential Equations
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(558a) A Novel Constrained Bayesian Optimization Method for Computationally Expensive Grey-Box Models with Composite Objective and Constraint Functions
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
Accelerating Multiscale Process Design with Bayesian Optimization: Progress, Challenges, and Opportunities
2021 Process Development Symposium
(718c) Towards Integration of Design and Operation of Techno-Ecological Synergistic Systems
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(17f) Learning-Based MPC with State-Dependent Uncertainty Using Adaptive Scenario Trees
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(434g) Goal-Oriented Model Learning with High-Fidelity Simulations Using MPC-Embedded Bayesian Optimization
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(299f) Fast Approximate Multistage NMPC with Online Scenario Tree Generation Using Active Deep Learning
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)

Related Proceedings

2020 Virtual AIChE Annual Meeting2021 Annual Meeting2021 Process Development Symposium2022 Annual Meeting2022 Spring Meeting and 18th Global Congress on Process Safety Proceedings2023 AIChE Annual Meeting2023 Spring Meeting and 19th Global Congress on Process Safety2024 Spring Meeting and 20th Global Congress on Process Safety