Latest Articles for Optimization Techniques

Enhancing logic programming performance by analyzing variable sharing and linearity.

Adam-mini reduces memory usage for training large language models while maintaining performance.

Introducing MEMENTO, a new method using memory to improve problem-solving in combinatorial optimization.

Exploring conservation laws and their role in complex machine learning scenarios.

A new method enhances data analysis using chordal distance in nonnegative matrix factorization.

FAdam optimizes machine learning training with enhanced techniques for better results.

This study presents a novel method to optimize logistics task assignment using surrogate models.

New methods improve decision quality in energy management and complex systems.

A new method improves deep reinforcement learning by optimizing hyperparameters and reward functions simultaneously.

A look into how Ising machines enhance optimization techniques.

A new adaptive optimizer reduces memory use in training large neural networks.

A new approach to solve the Maximum Independent Set problem without training data.

A method to derive cost functions by analyzing expert actions in complex environments.

Learn how counterfactual explanations improve clarity in optimization decisions.

Improving optimization methods through UCB in local Bayesian strategies.

New strategies improve optimization in uncertain environments.

Contrastive Policy Gradient offers a more efficient way to enhance language models.

Introducing algorithms for balancing multiple objectives in optimization tasks.

Introducing a new method for better solutions in complex engineering and robotics tasks.

New Ising machine model improves optimization problem solving and computational speed.

New methods improve SVM performance in hyperbolic spaces for complex data.

Algorithms balance approximation quality and consistency in dynamic environments.

Analyzing convergence of SGD with momentum through time window-based methods.

This study enhances Variational Quantum Eigensolvers using advanced optimization methods.

Learn how Bayesian online learning adapts models with incoming data.

A novel approach improves sampling from difficult probability distributions.

A new solver enhances solution speed and quality for combinatorial optimization tasks.

Exploring approaches to optimize machine learning models in dynamic environments.

A new method improves design optimization using existing data.

A new method combining GRASP and random-key optimization for complex problem solving.

New algorithms improve efficiency in distributed bilevel optimization with communication compression.

A new control method improves decision-making in complex systems with noisy observations.

This article examines Natural Policy Gradient for efficient decision-making in large state spaces.

GAT-Steiner quickly predicts Steiner points for efficient circuit design.

A method to enhance search efficiency through strategic resets.

Exploring methods to efficiently color 3-colorable graphs in computer science.

New algorithms improve recommendations using submodular optimization under noisy conditions.

This study evaluates the convergence rates of stochastic NGVI in probabilistic models.

Research unveils methods to tackle sparse quadratic optimization challenges effectively.

A new method enhances B&B algorithms for L0-regularization problems.