Flow-Controlled Scheduling for LLM Inference with Provable Stability Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Dong, Zhuolun, Cao, Junyu |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
by: Jung, Jaehun, et al.
Published: (2024)
by: Jung, Jaehun, et al.
Published: (2024)
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
by: Hung, Yu-Heng, et al.
Published: (2025)
by: Hung, Yu-Heng, et al.
Published: (2025)
Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
by: Xie, Hongrui, et al.
Published: (2026)
by: Xie, Hongrui, et al.
Published: (2026)
Semantic Scheduling for LLM Inference
by: Hua, Wenyue, et al.
Published: (2025)
by: Hua, Wenyue, et al.
Published: (2025)
Dynamic Spectral Clustering with Provable Approximation Guarantee
by: Laenen, Steinar, et al.
Published: (2024)
by: Laenen, Steinar, et al.
Published: (2024)
Gradient Descent with Provably Tuned Learning-rate Schedules
by: Sharma, Dravyansh
Published: (2025)
by: Sharma, Dravyansh
Published: (2025)
Model-agnostic Selective Labeling with Provable Statistical Guarantees
by: Huang, Huipeng, et al.
Published: (2025)
by: Huang, Huipeng, et al.
Published: (2025)
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
by: Deng, Yuyang, et al.
Published: (2024)
by: Deng, Yuyang, et al.
Published: (2024)
Provably Efficient Off-Policy Adversarial Imitation Learning with Convergence Guarantees
by: Chen, Yilei, et al.
Published: (2024)
by: Chen, Yilei, et al.
Published: (2024)
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks
by: Nichani, Eshaan, et al.
Published: (2023)
by: Nichani, Eshaan, et al.
Published: (2023)
KQ-SVD: Compressing the KV Cache with Provable Guarantees on Attention Fidelity
by: Lesens, Damien, et al.
Published: (2025)
by: Lesens, Damien, et al.
Published: (2025)
On the Provable Performance Guarantee of Efficient Reasoning Models
by: Zeng, Hao, et al.
Published: (2025)
by: Zeng, Hao, et al.
Published: (2025)
Ward: Provable RAG Dataset Inference via LLM Watermarks
by: Jovanović, Nikola, et al.
Published: (2024)
by: Jovanović, Nikola, et al.
Published: (2024)
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
by: Tao, Lue, et al.
Published: (2023)
by: Tao, Lue, et al.
Published: (2023)
Active Learning for Decision Trees with Provable Guarantees
by: Moakhar, Arshia Soltani, et al.
Published: (2026)
by: Moakhar, Arshia Soltani, et al.
Published: (2026)
A Conformal Approach to Feature-based Newsvendor under Model Misspecification
by: Cao, Junyu
Published: (2024)
by: Cao, Junyu
Published: (2024)
Product-Stability: Provable Convergence for Gradient Descent on the Edge of Stability
by: Gan, Eric
Published: (2026)
by: Gan, Eric
Published: (2026)
Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents
by: Dai, J. G., et al.
Published: (2025)
by: Dai, J. G., et al.
Published: (2025)
Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
by: Cao, Lingxiao, et al.
Published: (2025)
by: Cao, Lingxiao, et al.
Published: (2025)
Formal Mechanistic Interpretability: Automated Circuit Discovery with Provable Guarantees
by: Hadad, Itamar, et al.
Published: (2026)
by: Hadad, Itamar, et al.
Published: (2026)
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
by: Eysenbach, Benjamin, et al.
Published: (2024)
by: Eysenbach, Benjamin, et al.
Published: (2024)
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
by: Du, Ally Yalei, et al.
Published: (2025)
by: Du, Ally Yalei, et al.
Published: (2025)
Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
by: Giri, Nandakrishna, et al.
Published: (2026)
by: Giri, Nandakrishna, et al.
Published: (2026)
First Provable Guarantees for Practical Private FL: Beyond Restrictive Assumptions
by: Shulgin, Egor, et al.
Published: (2025)
by: Shulgin, Egor, et al.
Published: (2025)
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees
by: Marzari, Luca, et al.
Published: (2023)
by: Marzari, Luca, et al.
Published: (2023)
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
by: Luo, Yuhong, et al.
Published: (2025)
by: Luo, Yuhong, et al.
Published: (2025)
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
by: Altekrüger, Fabian, et al.
Published: (2023)
by: Altekrüger, Fabian, et al.
Published: (2023)
Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023)
by: Patel, Yash, et al.
Published: (2023)
Online Scheduling for LLM Inference with KV Cache Constraints
by: Jaillet, Patrick, et al.
Published: (2025)
by: Jaillet, Patrick, et al.
Published: (2025)
Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
by: Bari, Agrim, et al.
Published: (2025)
by: Bari, Agrim, et al.
Published: (2025)
Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving
by: Gao, Shihong, et al.
Published: (2025)
by: Gao, Shihong, et al.
Published: (2025)
Symmetry Guarantees Statistic Recovery in Variational Inference
by: Marks, Daniel, et al.
Published: (2026)
by: Marks, Daniel, et al.
Published: (2026)
Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
by: O'Neill, Charles, et al.
Published: (2024)
by: O'Neill, Charles, et al.
Published: (2024)
Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
by: Liang, Yuchen, et al.
Published: (2025)
by: Liang, Yuchen, et al.
Published: (2025)
ExeGPT: Constraint-Aware Resource Scheduling for LLM Inference
by: Oh, Hyungjun, et al.
Published: (2024)
by: Oh, Hyungjun, et al.
Published: (2024)
PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference
by: Zhang, Zeyu, et al.
Published: (2024)
by: Zhang, Zeyu, et al.
Published: (2024)
ML Inference Scheduling with Predictable Latency
by: Zhao, Haidong, et al.
Published: (2025)
by: Zhao, Haidong, et al.
Published: (2025)
Provable Mixed-Noise Learning with Flow-Matching
by: Hagemann, Paul, et al.
Published: (2025)
by: Hagemann, Paul, et al.
Published: (2025)
A Probabilistic Approach for Model Alignment with Human Comparisons
by: Cao, Junyu, et al.
Published: (2024)
by: Cao, Junyu, et al.
Published: (2024)
Reinforcement Learning for Control with Probabilistic Stability Guarantee: A Finite-Sample Approach
by: Han, Minghao, et al.
Published: (2026)
by: Han, Minghao, et al.
Published: (2026)
Similar Items
-
Trust or Escalate: LLM Judges with Provable Guarantees for Human Agreement
by: Jung, Jaehun, et al.
Published: (2024) -
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
by: Hung, Yu-Heng, et al.
Published: (2025) -
Adaptive Combinatorial Experimental Design: Pareto Optimality for Decision-Making and Inference
by: Xie, Hongrui, et al.
Published: (2026) -
Semantic Scheduling for LLM Inference
by: Hua, Wenyue, et al.
Published: (2025) -
Dynamic Spectral Clustering with Provable Approximation Guarantee
by: Laenen, Steinar, et al.
Published: (2024)