Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Quang-Huy, Hoang, Long P., Viet, Hoang V., Le, Dung D. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach
by: Nguyen, Hoang Huy, et al.
Published: (2024)
by: Nguyen, Hoang Huy, et al.
Published: (2024)
A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
by: Hoang, Nguyen Viet, et al.
Published: (2026)
by: Hoang, Nguyen Viet, et al.
Published: (2026)
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2024)
by: Nguyen, Minh-Duc, et al.
Published: (2024)
Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications
by: Bartoli, Nathalie, et al.
Published: (2025)
by: Bartoli, Nathalie, et al.
Published: (2025)
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
by: Tuan, Tran Anh, et al.
Published: (2024)
by: Tuan, Tran Anh, et al.
Published: (2024)
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees
by: Nguyen, Hoang T., et al.
Published: (2025)
by: Nguyen, Hoang T., et al.
Published: (2025)
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
by: Nguyen, Quang Minh, et al.
Published: (2022)
by: Nguyen, Quang Minh, et al.
Published: (2022)
Reevaluating Theoretical Analysis Methods for Optimization in Deep Learning
by: Tran, Hoang, et al.
Published: (2024)
by: Tran, Hoang, et al.
Published: (2024)
Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
by: Nguyen, Thien Hang, et al.
Published: (2024)
by: Nguyen, Thien Hang, et al.
Published: (2024)
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
by: Kuhn, Daniel, et al.
Published: (2019)
by: Kuhn, Daniel, et al.
Published: (2019)
Selective Ambulance Dispatch Under Contextual Travel-Time Uncertainty
by: Lin, Zikun, et al.
Published: (2026)
by: Lin, Zikun, et al.
Published: (2026)
Preferential Multi-Objective Bayesian Optimization
by: Astudillo, Raul, et al.
Published: (2024)
by: Astudillo, Raul, et al.
Published: (2024)
Adaptive multi-gradient methods for quasiconvex vector optimization and applications to multi-task learning
by: Minh, Nguyen Anh, et al.
Published: (2024)
by: Minh, Nguyen Anh, et al.
Published: (2024)
Provably data-driven projection method for quadratic programming
by: Nguyen, Anh Tuan, et al.
Published: (2025)
by: Nguyen, Anh Tuan, et al.
Published: (2025)
Private Zeroth-Order Nonsmooth Nonconvex Optimization
by: Zhang, Qinzi, et al.
Published: (2024)
by: Zhang, Qinzi, et al.
Published: (2024)
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
by: Le, Thinh Viet, et al.
Published: (2023)
by: Le, Thinh Viet, et al.
Published: (2023)
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
by: Cheon, Mujin, et al.
Published: (2024)
by: Cheon, Mujin, et al.
Published: (2024)
A Semantic-Loss Function Modeling Framework With Task-Oriented Machine Learning Perspectives
by: Nguyen, Ti Ti, et al.
Published: (2025)
by: Nguyen, Ti Ti, et al.
Published: (2025)
Transfer Learning in Bayesian Optimization for Aircraft Design
by: Tfaily, Ali, et al.
Published: (2026)
by: Tfaily, Ali, et al.
Published: (2026)
SCOPE: Spectral Concentration by Distributionally Robust Joint Covariance-Precision Estimation
by: Chen, Renjie, et al.
Published: (2025)
by: Chen, Renjie, et al.
Published: (2025)
Knowledge Gradient for Multi-Objective Bayesian Optimization with Decoupled Evaluations
by: Buckingham, Jack M., et al.
Published: (2023)
by: Buckingham, Jack M., et al.
Published: (2023)
Coverage-Validity-Aware Algorithmic Recourse
by: Bui, Ngoc, et al.
Published: (2023)
by: Bui, Ngoc, et al.
Published: (2023)
Where Does Warm-Up Come From? Adaptive Scheduling for Norm-Constrained Optimizers
by: Riabinin, Artem, et al.
Published: (2026)
by: Riabinin, Artem, et al.
Published: (2026)
Almost Sure Convergence of Stochastic Approximation: An Interplay of Noise and Step Size
by: Nguyen, Quang Dinh Thien, et al.
Published: (2026)
by: Nguyen, Quang Dinh Thien, et al.
Published: (2026)
Proactive DP: A Multple Target Optimization Framework for DP-SGD
by: van Dijk, Marten, et al.
Published: (2021)
by: van Dijk, Marten, et al.
Published: (2021)
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation
by: Sucker, Michael, et al.
Published: (2024)
by: Sucker, Michael, et al.
Published: (2024)
Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
by: Wang, Shengbo, et al.
Published: (2025)
by: Wang, Shengbo, et al.
Published: (2025)
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks
by: Manoj, Arjun, et al.
Published: (2025)
by: Manoj, Arjun, et al.
Published: (2025)
Maximizing Reliability with Bayesian Optimization
by: Buckingham, Jack M., et al.
Published: (2026)
by: Buckingham, Jack M., et al.
Published: (2026)
Bayesian Optimization of Bilevel Problems
by: Ekmekcioglu, Omer, et al.
Published: (2024)
by: Ekmekcioglu, Omer, et al.
Published: (2024)
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
by: Adebiyi, Taiwo A., et al.
Published: (2024)
by: Adebiyi, Taiwo A., et al.
Published: (2024)
Distributional Surgery for Language Model Activations
by: Nguyen, Bao, et al.
Published: (2025)
by: Nguyen, Bao, et al.
Published: (2025)
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set
by: Yue, Man-Chung, et al.
Published: (2024)
by: Yue, Man-Chung, et al.
Published: (2024)
Nonlinear Dimensionality Reduction Techniques for Bayesian Optimization
by: Long, Luo, et al.
Published: (2025)
by: Long, Luo, et al.
Published: (2025)
Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
by: Le, Thinh Viet, et al.
Published: (2025)
by: Le, Thinh Viet, et al.
Published: (2025)
One-Sided Matrix Completion from Ultra-Sparse Samples
by: Zhang, Hongyang R., et al.
Published: (2026)
by: Zhang, Hongyang R., et al.
Published: (2026)
Non-Myopic Multifidelity Bayesian Optimization
by: Di Fiore, Francesco, et al.
Published: (2022)
by: Di Fiore, Francesco, et al.
Published: (2022)
Accelerating Multi-Block Constrained Optimization Through Learning to Optimize
by: Liang, Ling, et al.
Published: (2024)
by: Liang, Ling, et al.
Published: (2024)
Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization
by: Nguyen, Lam M., et al.
Published: (2026)
by: Nguyen, Lam M., et al.
Published: (2026)
Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization
by: Yang, Yiran, et al.
Published: (2025)
by: Yang, Yiran, et al.
Published: (2025)
Similar Items
-
Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach
by: Nguyen, Hoang Huy, et al.
Published: (2024) -
A Two-Phase Adaptive Balanced Penalty Method for Controllable Pareto Front Learning under Split Feasibility Conditions
by: Hoang, Nguyen Viet, et al.
Published: (2026) -
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2024) -
Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications
by: Bartoli, Nathalie, et al.
Published: (2025) -
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
by: Tuan, Tran Anh, et al.
Published: (2024)