Guardado en:
| Autores principales: | An, Lin, Li, Andrew A., Moseley, Benjamin, Visotsky, Gabriel |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2402.13530 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Near-Optimal Real-Time Personalization with Simple Transformers
por: An, Lin, et al.
Publicado: (2025)
por: An, Lin, et al.
Publicado: (2025)
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
por: Bhuyan, Neelkamal, et al.
Publicado: (2023)
por: Bhuyan, Neelkamal, et al.
Publicado: (2023)
A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates
por: Lee, Wei-Cheng, et al.
Publicado: (2025)
por: Lee, Wei-Cheng, et al.
Publicado: (2025)
Predictive Linear Online Tracking for Unknown Targets
por: Tsiamis, Anastasios, et al.
Publicado: (2024)
por: Tsiamis, Anastasios, et al.
Publicado: (2024)
Online Resource Allocation with Non-Stationary Customers
por: Zhang, Xiaoyue, et al.
Publicado: (2024)
por: Zhang, Xiaoyue, et al.
Publicado: (2024)
Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints
por: Sid-Ali, Ahmed, et al.
Publicado: (2023)
por: Sid-Ali, Ahmed, et al.
Publicado: (2023)
Online Resource Allocation with Average Budget Constraints
por: Ao, Ruicheng, et al.
Publicado: (2024)
por: Ao, Ruicheng, et al.
Publicado: (2024)
Exponentially Weighted Algorithm for Online Network Resource Allocation with Long-Term Constraints
por: Sid-Ali, Ahmed, et al.
Publicado: (2024)
por: Sid-Ali, Ahmed, et al.
Publicado: (2024)
Asynchronous and Stochastic Distributed Resource Allocation
por: Li, Qiang, et al.
Publicado: (2025)
por: Li, Qiang, et al.
Publicado: (2025)
Decision-Aware Predictive Model Selection for Workforce Allocation
por: Stratman, Eric G., et al.
Publicado: (2024)
por: Stratman, Eric G., et al.
Publicado: (2024)
Data-Driven Adversarial Online Control for Unknown Linear Systems
por: Liu, Zishun, et al.
Publicado: (2023)
por: Liu, Zishun, et al.
Publicado: (2023)
Online Fair Allocation with Best-of-Many-Worlds Guarantees
por: Yang, Zongjun, et al.
Publicado: (2024)
por: Yang, Zongjun, et al.
Publicado: (2024)
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
por: Hutchinson, Spencer, et al.
Publicado: (2024)
por: Hutchinson, Spencer, et al.
Publicado: (2024)
The Nonstationary Newsvendor with (and without) Predictions
por: An, Lin, et al.
Publicado: (2023)
por: An, Lin, et al.
Publicado: (2023)
Online Resource Allocation with Convex-set Machine-Learned Advice
por: Golrezaei, Negin, et al.
Publicado: (2023)
por: Golrezaei, Negin, et al.
Publicado: (2023)
Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods
por: Gao, Wenzhi, et al.
Publicado: (2024)
por: Gao, Wenzhi, et al.
Publicado: (2024)
Non-Stationary Online Resource Allocation: Learning from a Single Sample
por: Feng, Yiding, et al.
Publicado: (2026)
por: Feng, Yiding, et al.
Publicado: (2026)
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution
por: Chen, Xinyun, et al.
Publicado: (2023)
por: Chen, Xinyun, et al.
Publicado: (2023)
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
por: Tang, Bill, et al.
Publicado: (2023)
por: Tang, Bill, et al.
Publicado: (2023)
Online Fair Allocation of Perishable Resources
por: Banerjee, Siddhartha, et al.
Publicado: (2024)
por: Banerjee, Siddhartha, et al.
Publicado: (2024)
Online Nonstochastic Prediction: Logarithmic Regret via Predictive Online Least Squares
por: Pai, Chih-Fan, et al.
Publicado: (2026)
por: Pai, Chih-Fan, et al.
Publicado: (2026)
Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
por: Inoue, Daisuke, et al.
Publicado: (2025)
por: Inoue, Daisuke, et al.
Publicado: (2025)
Online Control of Linear Systems under Unbounded Noise
por: Ito, Kaito, et al.
Publicado: (2024)
por: Ito, Kaito, et al.
Publicado: (2024)
Online Convex Optimization with Memory and Limited Predictions
por: Wang, Zhengmiao, et al.
Publicado: (2024)
por: Wang, Zhengmiao, et al.
Publicado: (2024)
Gradient-Variation Online Learning under Generalized Smoothness
por: Xie, Yan-Feng, et al.
Publicado: (2024)
por: Xie, Yan-Feng, et al.
Publicado: (2024)
Best Arm Identification with LLM Judges and Limited Human
por: Ao, Ruicheng, et al.
Publicado: (2026)
por: Ao, Ruicheng, et al.
Publicado: (2026)
Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models
por: Toso, Leonardo F., et al.
Publicado: (2026)
por: Toso, Leonardo F., et al.
Publicado: (2026)
Online (Non-)Convex Learning via Tempered Optimism
por: Haddouche, Maxime, et al.
Publicado: (2023)
por: Haddouche, Maxime, et al.
Publicado: (2023)
High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings
por: Priem, Rémy, et al.
Publicado: (2025)
por: Priem, Rémy, et al.
Publicado: (2025)
Which Features are Best for Successor Features?
por: Ollivier, Yann
Publicado: (2025)
por: Ollivier, Yann
Publicado: (2025)
Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov Data
por: Li, Wenye, et al.
Publicado: (2025)
por: Li, Wenye, et al.
Publicado: (2025)
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
por: Umeda, Hikaru, et al.
Publicado: (2024)
por: Umeda, Hikaru, et al.
Publicado: (2024)
Linearly Convergent Algorithms for Nonsmooth Problems with Unknown Smooth Pieces
por: Zhang, Zhe, et al.
Publicado: (2025)
por: Zhang, Zhe, et al.
Publicado: (2025)
Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size
por: Imaizumi, Kento, et al.
Publicado: (2025)
por: Imaizumi, Kento, et al.
Publicado: (2025)
A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems
por: Luo, Yujia, et al.
Publicado: (2026)
por: Luo, Yujia, et al.
Publicado: (2026)
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States
por: Lefringhausen, Robert, et al.
Publicado: (2023)
por: Lefringhausen, Robert, et al.
Publicado: (2023)
Bandit Allocational Instability
por: Chen, Yilun, et al.
Publicado: (2026)
por: Chen, Yilun, et al.
Publicado: (2026)
Solving 0-1 Integer Programs with Unknown Knapsack Constraints Using Membership Oracles
por: Messana, Rosario, et al.
Publicado: (2024)
por: Messana, Rosario, et al.
Publicado: (2024)
Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control
por: Cao, Daniel, et al.
Publicado: (2026)
por: Cao, Daniel, et al.
Publicado: (2026)
FORESEE: Prediction with Expansion-Compression Unscented Transform for Online Policy Optimization
por: Parwana, Hardik, et al.
Publicado: (2022)
por: Parwana, Hardik, et al.
Publicado: (2022)
Ejemplares similares
-
Near-Optimal Real-Time Personalization with Simple Transformers
por: An, Lin, et al.
Publicado: (2025) -
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
por: Bhuyan, Neelkamal, et al.
Publicado: (2023) -
A Best-of-Both-Worlds Proof for Tsallis-INF without Fenchel Conjugates
por: Lee, Wei-Cheng, et al.
Publicado: (2025) -
Predictive Linear Online Tracking for Unknown Targets
por: Tsiamis, Anastasios, et al.
Publicado: (2024) -
Online Resource Allocation with Non-Stationary Customers
por: Zhang, Xiaoyue, et al.
Publicado: (2024)