Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents
Fuente:
arXiv
Guardado en:
| Autores principales: | Dai, J. G., Deng, Tianze, Li, Yueying, Peng, Tianyi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Bayesian Inference with Shaped Deep Non-linear MLPs
por: Hanin, Boris, et al.
Publicado: (2026)
por: Hanin, Boris, et al.
Publicado: (2026)
Suboptimal Performance of the Bayes Optimal Algorithm in Frequentist Best Arm Identification
por: Komiyama, Junpei
Publicado: (2022)
por: Komiyama, Junpei
Publicado: (2022)
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
por: Pillai, Natesh S.
Publicado: (2022)
por: Pillai, Natesh S.
Publicado: (2022)
Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning
por: Sorokin, Aleksei G.
Publicado: (2025)
por: Sorokin, Aleksei G.
Publicado: (2025)
Inequalities for Optimization of Classification Algorithms: A Perspective Motivated by Diagnostic Testing
por: Patrone, Paul N., et al.
Publicado: (2025)
por: Patrone, Paul N., et al.
Publicado: (2025)
Anchored Langevin Algorithms
por: Gurbuzbalaban, Mert, et al.
Publicado: (2025)
por: Gurbuzbalaban, Mert, et al.
Publicado: (2025)
Learning Optimal Search Strategies
por: Ankirchner, Stefan, et al.
Publicado: (2026)
por: Ankirchner, Stefan, et al.
Publicado: (2026)
On the Relation between Rectified Flows and Optimal Transport
por: Hertrich, Johannes, et al.
Publicado: (2025)
por: Hertrich, Johannes, et al.
Publicado: (2025)
Recent Advances in Optimal Transport for Machine Learning
por: Montesuma, Eduardo Fernandes, et al.
Publicado: (2023)
por: Montesuma, Eduardo Fernandes, et al.
Publicado: (2023)
Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
por: Bari, Agrim, et al.
Publicado: (2025)
por: Bari, Agrim, et al.
Publicado: (2025)
High-Order Langevin Monte Carlo Algorithms
por: Dang, Thanh, et al.
Publicado: (2025)
por: Dang, Thanh, et al.
Publicado: (2025)
Scalable Machine Learning Algorithms using Path Signatures
por: Tóth, Csaba
Publicado: (2025)
por: Tóth, Csaba
Publicado: (2025)
A User's Guide to Sampling Strategies for Sliced Optimal Transport
por: Sisouk, Keanu, et al.
Publicado: (2025)
por: Sisouk, Keanu, et al.
Publicado: (2025)
Optimal Transport-Based Domain Adaptation for Rotated Linear Regression
por: Britos, Brian, et al.
Publicado: (2025)
por: Britos, Brian, et al.
Publicado: (2025)
Expected Batch Optimal Transport Plans and Consequences for Flow Matching
por: Boïté, Samuel, et al.
Publicado: (2026)
por: Boïté, Samuel, et al.
Publicado: (2026)
Variational Smoothing and Inference for SDEs from Sparse Data with Dynamic Neural Flows
por: Wang, Yu, et al.
Publicado: (2026)
por: Wang, Yu, et al.
Publicado: (2026)
Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
por: Boïté, Samuel, et al.
Publicado: (2025)
por: Boïté, Samuel, et al.
Publicado: (2025)
Fooling Algorithms in Non-Stationary Bandits using Belief Inertia
por: Mendelson, Gal, et al.
Publicado: (2025)
por: Mendelson, Gal, et al.
Publicado: (2025)
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
por: Cheng, Xiang, et al.
Publicado: (2023)
por: Cheng, Xiang, et al.
Publicado: (2023)
Non-Asymptotic Convergence of Stochastic Iterative Algorithms: A Lyapunov Framework
por: Chen, Zaiwei, et al.
Publicado: (2026)
por: Chen, Zaiwei, et al.
Publicado: (2026)
Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors
por: Labarthe, Aldric
Publicado: (2026)
por: Labarthe, Aldric
Publicado: (2026)
Dual Filter: A Transformer-like Inference Architecture for Hidden Markov Models
por: Chang, Heng-Sheng, et al.
Publicado: (2025)
por: Chang, Heng-Sheng, et al.
Publicado: (2025)
Regime-Switching Langevin Monte Carlo Algorithms
por: Wang, Xiaoyu, et al.
Publicado: (2025)
por: Wang, Xiaoyu, et al.
Publicado: (2025)
Non-Reversible Langevin Algorithms for Constrained Sampling
por: Du, Hengrong, et al.
Publicado: (2025)
por: Du, Hengrong, et al.
Publicado: (2025)
Adaptive Learning via Off-Model Training and Importance Sampling for Fully Non-Markovian Optimal Stochastic Control. Complete version
por: Leão, Dorival, et al.
Publicado: (2026)
por: Leão, Dorival, et al.
Publicado: (2026)
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
por: Dudeja, Rishabh, et al.
Publicado: (2024)
por: Dudeja, Rishabh, et al.
Publicado: (2024)
On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference
por: Zanger, Moritz A., et al.
Publicado: (2026)
por: Zanger, Moritz A., et al.
Publicado: (2026)
Multiscale Flow for Robust and Optimal Cosmological Analysis
por: Dai, Biwei, et al.
Publicado: (2023)
por: Dai, Biwei, et al.
Publicado: (2023)
Bayesian Inference with Deep Weakly Nonlinear Networks
por: Hanin, Boris, et al.
Publicado: (2024)
por: Hanin, Boris, et al.
Publicado: (2024)
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
por: Akyildiz, Ö. Deniz, et al.
Publicado: (2023)
por: Akyildiz, Ö. Deniz, et al.
Publicado: (2023)
Enabling Probabilistic Learning on Manifolds through Double Diffusion Maps
por: Giovanis, Dimitris G, et al.
Publicado: (2025)
por: Giovanis, Dimitris G, et al.
Publicado: (2025)
On Convergence of the Alternating Directions SGHMC Algorithm
por: Ghosh, Soumyadip, et al.
Publicado: (2024)
por: Ghosh, Soumyadip, et al.
Publicado: (2024)
Concentration of the Langevin Algorithm's Stationary Distribution
por: Altschuler, Jason M., et al.
Publicado: (2022)
por: Altschuler, Jason M., et al.
Publicado: (2022)
Near-Optimal Clustering in Mixture of Markov Chains
por: Lee, Junghyun, et al.
Publicado: (2025)
por: Lee, Junghyun, et al.
Publicado: (2025)
Optimal Transportation and Alignment Between Gaussian Measures
por: Dandapanthula, Sanjit, et al.
Publicado: (2025)
por: Dandapanthula, Sanjit, et al.
Publicado: (2025)
Mind the Gap: Navigating Inference with Optimal Transport Maps
por: Algren, Malte, et al.
Publicado: (2025)
por: Algren, Malte, et al.
Publicado: (2025)
Constrained Density Estimation via Optimal Transport
por: Hu, Yinan, et al.
Publicado: (2026)
por: Hu, Yinan, et al.
Publicado: (2026)
Model Predictive Control is Almost Optimal for Restless Bandit
por: Gast, Nicolas, et al.
Publicado: (2024)
por: Gast, Nicolas, et al.
Publicado: (2024)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
por: Ponnoprat, Donlapark, et al.
Publicado: (2026)
por: Ponnoprat, Donlapark, et al.
Publicado: (2026)
Ejemplares similares
-
Bayesian Inference with Shaped Deep Non-linear MLPs
por: Hanin, Boris, et al.
Publicado: (2026) -
Suboptimal Performance of the Bayes Optimal Algorithm in Frequentist Best Arm Identification
por: Komiyama, Junpei
Publicado: (2022) -
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions
por: Pillai, Natesh S.
Publicado: (2022) -
Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
por: Srinivasan, Vishwak, et al.
Publicado: (2025) -
Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning
por: Sorokin, Aleksei G.
Publicado: (2025)