#Optimization Algorithms
Latest news articles tagged with "Optimization Algorithms". Follow the timeline of events, related topics, and entities.
Articles (12)
-
🇺🇸 Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation
[USA]
arXiv:2506.08898v4 Announce Type: replace Abstract: Recent deep reinforcement learning methods have achieved remarkable success in solving multi-objective combinatorial optimization problems (MOCOPs)...
Related: #Computational Efficiency -
🇺🇸 cuGenOpt: A GPU-Accelerated General-Purpose Metaheuristic Framework for Combinatorial Optimization
[USA]
arXiv:2603.19163v1 Announce Type: new Abstract: Combinatorial optimization problems arise in logistics, scheduling, and resource allocation, yet existing approaches face a fundamental trade-off among...
Related: #High-Performance Computing -
🇺🇸 Automatic Termination Strategy of Inelastic Neutron-scattering Measurement Using Bayesian Optimization for Bin-width Selection
[USA]
arXiv:2603.16946v1 Announce Type: cross Abstract: Currently, an excessive amount of event data is being obtained in four-dimensional inelastic neutron-scattering experiments. A method for automatic b...
Related: #Scientific Measurement -
🇺🇸 Domain-Independent Dynamic Programming with Constraint Propagation
[USA]
arXiv:2603.16648v1 Announce Type: new Abstract: There are two prevalent model-based paradigms for combinatorial problems: 1) state-based representations, such as heuristic search, dynamic programming...
Related: #Constraint Satisfaction -
🇺🇸 Portfolio of Solving Strategies in CEGAR-based Object Packing and Scheduling for Sequential 3D Printing
[USA]
arXiv:2603.12224v1 Announce Type: new Abstract: Computing power that used to be available only in supercomputers decades ago especially their parallelism is currently available in standard personal c...
Related: #3D Printing -
🇺🇸 Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation
[USA]
arXiv:2603.10048v1 Announce Type: cross Abstract: Sharpness-Aware Minimization (SAM) enhances generalization by minimizing the maximum training loss within a predefined neighborhood around the parame...
Related: #Machine Learning -
🇺🇸 Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis
[USA]
arXiv:2603.10846v1 Announce Type: cross Abstract: Deploying Large Language Models to data-scarce programming domains poses significant challenges, particularly for kernel synthesis on emerging Domain...
Related: #AI Hardware -
🇺🇸 Geodesic Gradient Descent: A Generic and Learning-rate-free Optimizer on Objective Function-induced Manifolds
[USA]
arXiv:2603.06651v1 Announce Type: cross Abstract: Euclidean gradient descent algorithms barely capture the geometry of objective function-induced hypersurfaces and risk driving update trajectories of...
Related: #Machine Learning -
🇺🇸 Learning to Solve Orienteering Problem with Time Windows and Variable Profits
[USA]
arXiv:2603.06260v1 Announce Type: cross Abstract: The orienteering problem with time windows and variable profits (OPTWVP) is common in many real-world applications and involves continuous time varia...
Related: #Machine Learning Applications -
🇺🇸 FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
[USA]
arXiv:2603.05116v1 Announce Type: cross Abstract: Although Federated Learning has been widely studied in recent years, there are still high overhead expenses in each communication round for large-sca...
Related: #Federated Learning -
🇺🇸 Enjoying Non-linearity in Multinomial Logistic Bandits: A Minimax-Optimal Algorithm
[USA]
arXiv:2507.05306v3 Announce Type: replace-cross Abstract: We consider the multinomial logistic bandit problem in which a learner interacts with an environment by selecting actions to maximize expecte...
Related: #Machine Learning, #Decision Theory -
🇺🇸 Quantum walk inspired JPEG compression of images
[USA]
arXiv:2602.12306v1 Announce Type: cross Abstract: This work proposes a quantum inspired adaptive quantization framework that enhances the classical JPEG compression by introducing a learned, optimize...
Related: #Quantum Computing, #Image Compression
Key Entities (6)
- Quantization (1 news)
- Digital image processing (1 news)
- Mathematical optimization (1 news)
- Neural processing unit (1 news)
- Bayesian optimization (1 news)
- Neural network (1 news)
About the topic: Optimization Algorithms
The topic "Optimization Algorithms" aggregates 12+ news articles from various countries.