:: Library Catalog

Salvato in:

Dettagli Bibliografici
Autori principali:	Pardeshi, Kanad, Foubert, Samsara, Singh, Aarti
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2602.01400
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning Social Welfare Functions
di: Pardeshi, Kanad Shrikar, et al.
Pubblicazione: (2024)

OEUVRE: OnlinE Unbiased Variance-Reduced loss Estimation
di: Pardeshi, Kanad, et al.
Pubblicazione: (2025)

Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach
di: Pardeshi, Karan, et al.
Pubblicazione: (2023)

Comparing Targeting Strategies for Maximizing Social Welfare with Limited Resources
di: Sharma, Vibhhu, et al.
Pubblicazione: (2024)

Cooperative Multi-agent RL with Communication Constraints
di: Xiong, Nuoya, et al.
Pubblicazione: (2026)

Projection Optimization: A General Framework for Multi-Objective and Multi-Group RLHF
di: Xiong, Nuoya, et al.
Pubblicazione: (2025)

Online Resource Allocation with Non-Stationary Customers
di: Zhang, Xiaoyue, et al.
Pubblicazione: (2024)

Online Resource Allocation with Average Budget Constraints
di: Ao, Ruicheng, et al.
Pubblicazione: (2024)

Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect
di: Neopane, Ojash, et al.
Pubblicazione: (2024)

Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference
di: Cai, Huaiguang, et al.
Pubblicazione: (2024)

Graph Residual based Method for Molecular Property Prediction
di: Sen, Kanad, et al.
Pubblicazione: (2024)

Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
di: Neopane, Ojash, et al.
Pubblicazione: (2025)

The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
di: Song, Yuda, et al.
Pubblicazione: (2024)

Online Fair Allocation of Perishable Resources
di: Banerjee, Siddhartha, et al.
Pubblicazione: (2024)

Hybrid Reinforcement Learning from Offline Observation Alone
di: Song, Yuda, et al.
Pubblicazione: (2024)

Single-Sample and Robust Online Resource Allocation
di: Ghuge, Rohan, et al.
Pubblicazione: (2025)

A Federated Online Restless Bandit Framework for Cooperative Resource Allocation
di: Tong, Jingwen, et al.
Pubblicazione: (2024)

Online Optimization for Randomized Network Resource Allocation with Long-Term Constraints
di: Sid-Ali, Ahmed, et al.
Pubblicazione: (2023)

Online Resource Allocation with Convex-set Machine-Learned Advice
di: Golrezaei, Negin, et al.
Pubblicazione: (2023)

Exponentially Weighted Algorithm for Online Network Resource Allocation with Long-Term Constraints
di: Sid-Ali, Ahmed, et al.
Pubblicazione: (2024)

Pixels to Prose: Understanding the art of Image Captioning
di: Singh, Hrishikesh, et al.
Pubblicazione: (2024)

Online Decision Making with Generative Action Sets
di: Xu, Jianyu, et al.
Pubblicazione: (2025)

Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
di: Kalntis, Michail, et al.
Pubblicazione: (2023)

To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable Reinforcement Learning
di: Song, Yuda, et al.
Pubblicazione: (2025)

HyperNQ: A Hypergraph Neural Network Decoder for Quantum LDPC Codes
di: Bhave, Ameya S., et al.
Pubblicazione: (2025)

Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
di: Gao, Zhidong, et al.
Pubblicazione: (2024)

Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model
di: An, Lin, et al.
Pubblicazione: (2024)

A Rollout-Based Algorithm and Reward Function for Resource Allocation in Business Processes
di: Middelhuis, Jeroen, et al.
Pubblicazione: (2025)

Non-Stationary Online Resource Allocation: Learning from a Single Sample
di: Feng, Yiding, et al.
Pubblicazione: (2026)

Revisiting Social Welfare in Bandits: UCB is (Nearly) All You Need
di: Sarkar, Dhruv, et al.
Pubblicazione: (2025)

Navigating the Social Welfare Frontier: Portfolios for Multi-objective Reinforcement Learning
di: Kim, Cheol Woo, et al.
Pubblicazione: (2025)

Fair Resource Allocation in Multi-Task Learning
di: Ban, Hao, et al.
Pubblicazione: (2024)

Detection of Sleep Oxygen Desaturations from Electroencephalogram Signals
di: Manjunath, Shashank, et al.
Pubblicazione: (2024)

Asynchronous and Stochastic Distributed Resource Allocation
di: Li, Qiang, et al.
Pubblicazione: (2025)

Fair Resource Allocation for Fleet Intelligence
di: Baser, Oguzhan, et al.
Pubblicazione: (2025)

Specifying and Solving Robust Empirical Risk Minimization Problems Using CVXPY
di: Luxenberg, Eric, et al.
Pubblicazione: (2023)

Beyond Parameter Count: Implicit Bias in Soft Mixture of Experts
di: Chung, Youngseog, et al.
Pubblicazione: (2024)

Unsupervised Learning based Element Resource Allocation for Reconfigurable Intelligent Surfaces in mmWave Network
di: Mamillapalli, Pujitha, et al.
Pubblicazione: (2025)

Learning Structured Compressed Sensing with Automatic Resource Allocation
di: Wang, Han, et al.
Pubblicazione: (2024)

Linfadenopatías por picaduras de garrapatas: a propósito de dos casos
di: Samsara López Hernández
Pubblicazione: (2019)