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https://www.amazon.science/publications/feedback-aware-prompt-optimization-framework-for-generating-job-postings Feedback-aware prompt optimization framework for generating job postings - Amazon Science Job postings are critical for recruitment, yet large enterprises struggle with standardization and consistency, requiring significant time and effort from... prompt optimization job postings feedback aware framework https://arxiv.org/html/2503.12822v1 SPARTA: An Optimization Framework for Differentially Private Sparse Fine-Tuning an optimization sparta framework private sparse https://www.atlantis-press.com/proceedings/incitest-25/126019106 A Hyperparameter Optimization Framework Using Optuna for XGBoost-based Drought Zone Classification... The purpose of this study is to classify drought zones on Flores Island, Indonesia, using the Extreme Gradient Boosting (XGBoost) algorithm. XGBoost is well... hyperparameter optimization https://openreview.net/forum?id=ehcPPdsFx4 Optimization Framework for Semi-supervised Attributed Graph Coarsening | OpenReview In data-intensive applications, graphs serve as foundational structures across various domains. However, the increasing size of datasets poses significant... optimization framework attributed graph semi supervised openreview https://www.jmlr.org/papers/v21/19-471.html Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion matrix completion optimization framework fast exact unified https://jmlr.org/papers/v26/24-1540.html BoFire: Bayesian Optimization Framework Intended for Real Experiments bayesian optimization for real framework intended experiments https://deepai.org/publication/general-optimization-framework-for-recurrent-reachability-objectives General Optimization Framework for Recurrent Reachability Objectives | DeepAI May 27, 2022 - 05/27/22 - We consider the mobile robot path planning problem for a class of recurrent reachability objectives. These objectives are paramete... general optimization framework recurrent reachability objectives https://optuna.org/ Optuna - A hyperparameter optimization framework Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. hyperparameter optimization optuna framework https://www.unsw.edu.au/canberra/our-research/phd-study-opportunities/combining-optimization-and-multi-criteria-decision-analysis-in-a Combining Optimization and Multi-Criteria Decision Analysis in A Multi-Method Framework with... decision analysis https://arxiv.org/abs/1702.08627 [1702.08627] An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and... Abstract page for arXiv paper 1702.08627: An Optimization Framework with Flexible Inexact Inner Iterations for Nonconvex and Nonsmooth Programming https://arxiv.org/abs/2410.05932 [2410.05932] Quantum-Inspired Portfolio Optimization In The QUBO Framework Abstract page for arXiv paper 2410.05932: Quantum-Inspired Portfolio Optimization In The QUBO Framework portfolio optimization in the 2410 quantum inspired https://www.easychair.org/publications/preprint/3Tz5 Network-Level Adaptive Signal Control Optimization Under a Closed-Loop Online Updating Framework adaptive signal control https://stanford.edu/~boyd/papers/dcsp.html Disciplined Convex Stochastic Programming: A New Framework for Stochastic Optimization stochastic programming disciplined convex new framework https://openreview.net/forum?id=EG9nDN3eGB A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization | OpenReview The efficiency of Logic Optimization (LO) has become one of the key bottlenecks in chip design. To prompt efficient LO, previous studies propose using a key... a graph discovery framework logic optimization enhanced symbolic https://jmlr.org/papers/v21/18-434.html A Unified q-Memorization Framework for Asynchronous Stochastic Optimization unified q memorization framework asynchronous https://arxiv.org/abs/2010.14038 [2010.14038] Optimization-Based Framework for Excavation Trajectory Generation Abstract page for arXiv paper 2010.14038: Optimization-Based Framework for Excavation Trajectory Generation 2010 optimization based framework excavation https://arxiv.org/abs/2506.03358 [2506.03358] A line search framework with restarting for noisy optimization problems Abstract page for arXiv paper 2506.03358: A line search framework with restarting for noisy optimization problems a line search framework https://arxiv.org/abs/2410.20878 [2410.20878] AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation... Abstract page for arXiv paper 2410.20878: AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline 2410 autorag automated framework https://www.uc3m.es/ss/Satellite/GruposInvestigacion/es/TextoDosColumnas/1371333800405/Humidity_Optimization_Tool_(Clean_Sky_-_7th_European_Framework_Programme) Humidity Optimization Tool (Clean Sky - 7th European Framework Programme) | UC3M clean sky european framework humidity optimization tool https://www.jmlr.org/papers/v27/25-0185.html DCatalyst: A Unified Accelerated Framework for Decentralized Optimization unified accelerated framework decentralized optimization https://www.kth.se/math/kalender/antonio-alcantara-mata-a-quantile-neural-network-framework-for-two-stage-stochastic-optimization-1.1356296?date=2024-09-20&orgdate=2024-02-13&length=1&orglength=323 Antonio Alcantara Mata: A Quantile Neural Network Framework for Two-stage Stochastic Optimization |... https://jmlr.org/papers/v27/25-0185.html DCatalyst: A Unified Accelerated Framework for Decentralized Optimization unified accelerated framework decentralized optimization https://openreview.net/forum?id=NjU0jtXcYn A General Framework for User-Guided Bayesian Optimization | OpenReview The optimization of expensive-to-evaluate black-box functions is prevalent in various scientific disciplines. Bayesian optimization is an automatic, general... general framework for user bayesian optimization guided openreview https://www.mdpi.com/2227-9717/6/10/183 Toward a Comprehensive and Efficient Robust Optimization Framework for (Bio)chemical Processes Model-based design principles have received considerable attention in biotechnology and the chemical industry over the last two decades. However, parameter... robust optimization https://openreview.net/forum?id=B1eWhBrxIH&referrer=%5Bthe%20profile%20of%20Mehmet%20Fatih%20Sahin%5D(%2Fprofile%3Fid%3D~Mehmet_Fatih_Sahin2) An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints |... We propose a practical inexact augmented Lagrangian method (iALM) for nonconvex problems with nonlinear constraints. We characterize the total computational... nonconvex optimization inexact augmented lagrangian framework