Overview

Trust-region optimization studies how to choose steps using a local approximation of an objective, accepting steps that improve the objective and adjusting the region when predictions are inaccurate. Methods include quadratic-model and sequential quadratic programming approaches, stochastic and derivative-free updates, and Bayesian optimization with local Gaussian-process models. These methods are used for constrained and noisy problems, expensive black-box search, and fine-tuning policies or machine-learning models; evaluations often include CUTEst problems, synthetic optimization benchmarks, and application-specific tasks. A central challenge is balancing reliable local progress and convergence guarantees against the need to scale, handle noisy evaluations, and explore beyond the current region.

Latest papers

CardsList

29 papers5 papers in the last four weeks, up 25% on the four weeks before. 0.0% of all new papers.

  1. Anisotropic Trust Region Warping for Prior-Data Fitted Networks in Bayesian Optimisation

    Oct 27, 2026Samuel Younger, Tinkle Chugh, George De AthBayesian OptimizationPrior-Data Fitted Networks

  2. Trust Your Targets: Is Target Propagation Block-Diagonal Gauss-Newton?

    Oct 19, 2026Giuseppe Castiglione, Christopher Buckley, Ivor SimpsonGauss-Newton OptimizationTrust-Region Optimization

  3. Generative Models as Adaptive Trust Regions for Discrete Bayesian Optimisation

    Oct 12, 2026Michael Dodds, Erik Bodin, Sebastian W. Ober +3Bayesian OptimizationBlack-Box Optimization

  4. STREGO: A Scalable Implementation of a Trust-Region Framework for Noisy Bayesian Optimization

    Oct 9, 2026Youssef Diouane, Issmail El Hallaoui, Meisseme Kadri +1Bayesian OptimizationTrust-Region Optimization

  5. Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space

    Oct 6, 2026You Wan, Ting Gao, Jinqiao DuanTrust-Region OptimizationSecond-Order Optimization

  6. Bayesian Optimization with Fisher Information Geometry: Gradient Bounds and Trust-Region Methods

    Sep 25, 2026Saksham Kiroriwal, Julius Pfrommer, Jürgen BeyererBayesian OptimizationTrust-Region Optimization

  7. TR-SSQP: A Trust-Region Method for Constrained Stochastic Optimization under Heavy-Tailed Noise

    Sep 25, 2026Haoxuan Wang, Yuchen Fang, Sen NaStochastic OptimizationStochastic Optimization Convergence

  8. CrystalMO-TuRBO: Multi-Objective Trust-Region Bayesian Optimization for High-precision Joint Crystal Structure Refinement

    Sep 17, 2026Joseph Agada, Yishu Wang, Arpan BiswasBayesian OptimizationTrust-Region Optimization

  9. MpSub: A Momentum pp-Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models

    Sep 7, 2026Yuyang Wang, Haoyu Yao, Pengcheng XieMemory-Efficient Fine-TuningZeroth-Order Optimization

  10. One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective

    Jul 2, 2026Juan Agustín Duque, Sergio García Heredia, Vinicius Hernandes +4Neural Quantum StatesSecond-Order Optimization

  11. Local Preferential Bayesian Optimization

    Jun 1, 2026Johanna Menn, Miriam Kober, Paul Brunzema +2Pairwise Preference LearningPairwise Preference Evaluation

  12. Trust Region On-Policy Distillation

    May 31, 2026Xingrun Xing, Haoqing Wang, Boyan Gao +2Language Model DistillationTrust-Region Optimization

  13. Trust-Region Behavior Blending for On-Policy Distillation

    May 29, 2026Daniil Plyusov, Alexey Gorbatovski, Alexey Malakhov +4Language Model DistillationTrust-Region Optimization

  14. SmoCap: Unified Scale-Pose Canonicalization with Proxy-Mapped Trust-Region QP

    May 20, 2026Shihao Li, Naohiko SugitaMarkerless Motion Capture3D Human Pose Estimation

  15. Delta Forcing: Trust Region Steering for Interactive Autoregressive Video Generation

    May 14, 2026Yuheng Wu, Xiangbo Gao, Tianhao Chen +4Real-Time Interactive Video GenerationStreaming Video Generation

  16. TeamTR: Trust-Region Fine-Tuning for Multi-Agent LLM Coordination

    May 1, 2026Yi Xie, Siao Liu, Falong Fan +3Multi-Agent System OptimizationMulti-Agent Coordination

  17. Rethinking Trust Region Bayesian Optimization in High Dimensions

    Apr 24, 2026Wei-Ting Tang, Joel A. PaulsonBayesian OptimizationBlack-Box Optimization

  18. Trust Region Constrained Bayesian Optimization with Penalized Constraint Handling

    Mar 25, 2026Raju Chowdhury, Tanmay Sen, Biswabrata PradhanBayesian OptimizationBlack-Box Optimization

  19. Boost Like a (Var)Pro: Trust-Region Gradient Boosting via Variable Projection

    Mar 24, 2026Abhijit Chowdhary, Elizabeth Newman, Deepanshu VermaEnsemble LearningTrust-Region Optimization

  20. Factored Levenberg-Marquardt for Diffeomorphic Image Registration: An efficient optimizer for FireANTs

    Mar 19, 2026Rohit Jena, Pratik Chaudhari, James C. GeeMedical Image RegistrationDeformable Image Registration

  21. A Trust-Region Interior-Point Stochastic Sequential Quadratic Programming Method

    Mar 10, 2026Yuchen Fang, Jihun Kim, Sen Na +2Constrained OptimizationStochastic Optimization

  22. Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning

    Mar 10, 2026Yechen Zhang, Shuhao Xing, Junhao Huang +5Deep Learning OptimizationMuon Optimizer

  23. LAGO: A Local-Global Optimization Framework Combining Trust Region Methods and Bayesian Optimization

    Mar 3, 2026Eliott Van Dieren, Tommaso Vanzan, Fabio NobileBlack-Box OptimizationBayesian Optimization

  24. QUATRO: Query-Adaptive Trust Region Policy Optimization for LLM Fine-tuning

    Feb 4, 2026Doyeon Lee, Eunyi Lyou, Hyunsoo Cho +3Trust-Region OptimizationPolicy Learning