Cover Image

End-to-end Conditional Robust Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chenreddy, Abhilash, Delage, Erick
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Epistemic Robust Offline Reinforcement Learning
by: Chenreddy, Abhilash Reddy, et al.
Published: (2026)

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
by: Sadana, Utsav, et al.
Published: (2023)

Robust Data-driven Prescriptiveness Optimization
by: Poursoltani, Mehran, et al.
Published: (2023)

Boosting CVaR Policy Optimization with Quantile Gradients
by: Luo, Yudong, et al.
Published: (2026)

Actor-Critic Algorithm for Dynamic Expectile and CVaR
by: Luo, Yudong, et al.
Published: (2026)

Planning and Learning in Average Risk-aware MDPs
by: Wang, Weikai, et al.
Published: (2025)

Mitigating optimistic bias in entropic risk estimation and optimization
by: Sadana, Utsav, et al.
Published: (2024)

Risk-Aware Decision Making in Restless Bandits: Theory and Algorithms for Planning and Learning
by: Akbarzadeh, Nima, et al.
Published: (2024)

Efficient Matroid Bandit Linear Optimization Leveraging Unimodality
by: Delage, Aurélien, et al.
Published: (2025)

Fair Resource Allocation in Weakly Coupled Markov Decision Processes
by: Tu, Xiaohui, et al.
Published: (2024)

Robustifying Conditional Portfolio Decisions via Optimal Transport
by: Nguyen, Viet Anh, et al.
Published: (2021)

Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
by: Hau, Jia Lin, et al.
Published: (2024)

Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
by: Muni, Aneri, et al.
Published: (2026)

DOGE-Train: Discrete Optimization on GPU with End-to-end Training
by: Abbas, Ahmed, et al.
Published: (2022)

End-to-end Deep Reinforcement Learning for Stochastic Multi-objective Optimization in C-VRPTW
by: Abouelrous, Abdo, et al.
Published: (2025)

Navigating Demand Uncertainty in Container Shipping: Deep Reinforcement Learning for Enabling Adaptive and Feasible Master Stowage Planning
by: van Twiller, Jaike, et al.
Published: (2025)

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model
by: Gao, Zeyu, et al.
Published: (2022)

PETRA: Parallel End-to-end Training with Reversible Architectures
by: Rivaud, Stéphane, et al.
Published: (2024)

End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables
by: Carlucci, Francesco, et al.
Published: (2026)

Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
by: Owfi, Ali, et al.
Published: (2025)

End-to-end Feature Selection Approach for Learning Skinny Trees
by: Ibrahim, Shibal, et al.
Published: (2023)

End-to-end Planner Training for Language Modeling
by: Cornille, Nathan, et al.
Published: (2024)

End-to-end RL Improves Dexterous Grasping Policies
by: Singh, Ritvik, et al.
Published: (2025)

End-to-end Optimization of Belief and Policy Learning in Shared Autonomy Paradigms
by: Farhadi, MH, et al.
Published: (2026)

Development of an End-to-end Machine Learning System with Application to In-app Purchases
by: Varelas, Dionysios, et al.
Published: (2024)

Prompting Whisper for Improved Verbatim Transcription and End-to-end Miscue Detection
by: Smith, Griffin Dietz, et al.
Published: (2025)

End-to-end Kernel Learning via Generative Random Fourier Features
by: Fang, Kun, et al.
Published: (2020)

End-to-end data-driven prediction of urban airflow and pollutant dispersion
by: Kumar, Nishant, et al.
Published: (2026)

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model
by: Wang, Sicheng, et al.
Published: (2025)

End-to-end PDDL Planning with Hardcoded and Dynamic Agents
by: La Malfa, Emanuele, et al.
Published: (2025)

CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence
by: Zhao, Yu, et al.
Published: (2025)

End-to-end Training for Recommendation with Language-based User Profiles
by: Gao, Zhaolin, et al.
Published: (2024)

On the Internal Semantics of Time-Series Foundation Models
by: Pandey, Atharva, et al.
Published: (2025)

CLAP: Contrastive Latent-space Prompt Optimization for End-to-end Autonomous Driving
by: Zhu, Ruiyang, et al.
Published: (2026)

FABG : End-to-end Imitation Learning for Embodied Affective Human-Robot Interaction
by: Zhang, Yanghai, et al.
Published: (2025)

Learning from Noisy Labels via Conditional Distributionally Robust Optimization
by: Guo, Hui, et al.
Published: (2024)

Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
by: Jiang, Xuefeng, et al.
Published: (2024)

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval
by: Gupta, Nilesh, et al.
Published: (2025)

EHI: End-to-end Learning of Hierarchical Index for Efficient Dense Retrieval
by: Kumar, Ramnath, et al.
Published: (2023)

Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
by: Deng, Yuyang, et al.
Published: (2025)