Generalization Bounds for Contextual Stochastic Optimization using Kernel Regression
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yijie, Hanasusanto, Grani A., Ho, Chin Pang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data-Driven Contextual Optimization with Gaussian Mixtures: Flow-Based Generalization, Robust Models, and Multistage Extensions
by: Yoon, YoungChul, et al.
Published: (2025)
by: Yoon, YoungChul, et al.
Published: (2025)
Distributionally Fair Stochastic Optimization using Wasserstein Distance
by: Ye, Qing, et al.
Published: (2024)
by: Ye, Qing, et al.
Published: (2024)
A Distributionally Robust Optimization Approach to Quick Response Models under Demand Uncertainty
by: Papavassilopoulos, Panayotis P., et al.
Published: (2025)
by: Papavassilopoulos, Panayotis P., et al.
Published: (2025)
Sample Complexity of Data-driven Multistage Stochastic Programming under Markovian Uncertainty
by: Park, Hyuk, et al.
Published: (2024)
by: Park, Hyuk, et al.
Published: (2024)
Distributionally Robust Performative Optimization
by: Jia, Zhuangzhuang, et al.
Published: (2024)
by: Jia, Zhuangzhuang, et al.
Published: (2024)
Distributionally Robust Optimization with Decision-Dependent Information Discovery
by: Jin, Qing, et al.
Published: (2024)
by: Jin, Qing, et al.
Published: (2024)
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control
by: Jia, Zhuangzhuang, et al.
Published: (2025)
by: Jia, Zhuangzhuang, et al.
Published: (2025)
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes
by: Zhou, Duo, et al.
Published: (2024)
by: Zhou, Duo, et al.
Published: (2024)
Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
by: Zhou, Duo, et al.
Published: (2025)
by: Zhou, Duo, et al.
Published: (2025)
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty
by: Cui, Mingxuan, et al.
Published: (2025)
by: Cui, Mingxuan, et al.
Published: (2025)
Sensitivity of Filter Kernels and Robustness Bounds to Transition and Measurement Kernel Perturbations in Partially Observable Stochastic Control
by: Demirci, Yunus Emre, et al.
Published: (2025)
by: Demirci, Yunus Emre, et al.
Published: (2025)
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
by: Di, Qiwei, et al.
Published: (2023)
by: Di, Qiwei, et al.
Published: (2023)
Reducing Contextual Stochastic Bilevel Optimization via Structured Function Approximation
by: Bouscary, Maxime, et al.
Published: (2025)
by: Bouscary, Maxime, et al.
Published: (2025)
Intrinsic Decentralized Stochastic Riemannian Optimization on Manifolds with Bounded Sectional Curvature
by: Nguyen, Duc Toan, et al.
Published: (2026)
by: Nguyen, Duc Toan, et al.
Published: (2026)
Online Distributed Optimization with Clipped Stochastic Gradients: High Probability Bound of Regrets
by: Yang, Yuchen, et al.
Published: (2024)
by: Yang, Yuchen, et al.
Published: (2024)
Bayesian Optimization by Kernel Regression and Density-based Exploration
by: Zhu, Tansheng, et al.
Published: (2025)
by: Zhu, Tansheng, et al.
Published: (2025)
Stochastic Approximation Methods for Distortion Risk Measure Optimization
by: Jiang, Jinyang, et al.
Published: (2025)
by: Jiang, Jinyang, et al.
Published: (2025)
Efficient Algorithms for Robust Markov Decision Processes with $s$-Rectangular Ambiguity Sets
by: Ho, Chin Pang, et al.
Published: (2026)
by: Ho, Chin Pang, et al.
Published: (2026)
Contextual Stochastic Optimization for Omnichannel Multi-Courier Order Fulfillment Under Delivery Time Uncertainty
by: Ye, Tinghan, et al.
Published: (2024)
by: Ye, Tinghan, et al.
Published: (2024)
The Black-Box Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation
by: Lobanov, Aleksandr, et al.
Published: (2023)
by: Lobanov, Aleksandr, et al.
Published: (2023)
Contextual Scenario Generation for Two-Stage Stochastic Programming
by: Islip, David, et al.
Published: (2025)
by: Islip, David, et al.
Published: (2025)
An Optimization-Based Framework for Solving Forward-Backward Stochastic Differential Equations: Convergence Analysis and Error Bounds
by: Wang, Yutian, et al.
Published: (2025)
by: Wang, Yutian, et al.
Published: (2025)
Non-Asymptotic Optimization and Generalization Bounds for Stochastic Gauss-Newton in Overparameterized Models
by: Cayci, Semih
Published: (2025)
by: Cayci, Semih
Published: (2025)
Contextual Quantile Minimization for Two-Stage Stochastic Programs
by: Tsang, Man Yiu, et al.
Published: (2025)
by: Tsang, Man Yiu, et al.
Published: (2025)
Distributed Stochastic Block Coordinate Descent for Time-Varying Multi-Agent Optimization
by: Yu, Zhan, et al.
Published: (2019)
by: Yu, Zhan, et al.
Published: (2019)
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
by: Im, Hyungki, et al.
Published: (2025)
by: Im, Hyungki, et al.
Published: (2025)
Generalized Stochastic Gradient Descent with Momentum Methods for Smooth Optimization
by: Wang, Zimeng, et al.
Published: (2026)
by: Wang, Zimeng, et al.
Published: (2026)
Tight Lower Bounds and Optimal Algorithms for Stochastic Nonconvex Optimization with Heavy-Tailed Noise
by: Fradin, Adrien, et al.
Published: (2025)
by: Fradin, Adrien, et al.
Published: (2025)
Internal Control of The Transition Kernel for Stochastic Lattice Dynamics
by: Hannani, Amirali, et al.
Published: (2024)
by: Hannani, Amirali, et al.
Published: (2024)
Conditional Gradient Methods with Standard LMO for Stochastic Simple Bilevel Optimization
by: Giang-Tran, Khanh-Hung, et al.
Published: (2025)
by: Giang-Tran, Khanh-Hung, et al.
Published: (2025)
Agent Coordination via Contextual Regression (AgentCONCUR) for Data Center Flexibility
by: Dvorkin, Vladimir
Published: (2023)
by: Dvorkin, Vladimir
Published: (2023)
Risk-averse Decision Making with Contextual Information: Model, Sample Average Approximation, and Kernelization
by: Tao, Yuan, et al.
Published: (2025)
by: Tao, Yuan, et al.
Published: (2025)
Generalization of Silver Stepsize Schedule to Stochastic Optimization
by: Bai, Luwei, et al.
Published: (2025)
by: Bai, Luwei, et al.
Published: (2025)
Scalable Kernel Quantile Regression: A Preconditioned Augmented Lagrangian Method
by: Deng, Shengxiang, et al.
Published: (2025)
by: Deng, Shengxiang, et al.
Published: (2025)
Nonparametric Kernel Regression for Coordinated Energy Storage Peak Shaving with Stacked Services
by: Logan, Emily, et al.
Published: (2026)
by: Logan, Emily, et al.
Published: (2026)
On Convergent Dynamic Mode Decomposition and its Equivalence with Occupation Kernel Regression
by: Abudia, Moad, et al.
Published: (2024)
by: Abudia, Moad, et al.
Published: (2024)
Evaluation of Prosumer Networks for Peak Load Management in Iran: A Distributed Contextual Stochastic Optimization Approach
by: Noori, Amir, et al.
Published: (2024)
by: Noori, Amir, et al.
Published: (2024)
Prescriptive PCA: Dimensionality Reduction for Two-stage Stochastic Optimization
by: He, Long, et al.
Published: (2023)
by: He, Long, et al.
Published: (2023)
Deck of Cards method for Hierarchical, Robust and Stochastic Ordinal Regression
by: Corrente, Salvatore, et al.
Published: (2024)
by: Corrente, Salvatore, et al.
Published: (2024)
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
by: Chen, Xuxing, et al.
Published: (2024)
by: Chen, Xuxing, et al.
Published: (2024)
Similar Items
-
Data-Driven Contextual Optimization with Gaussian Mixtures: Flow-Based Generalization, Robust Models, and Multistage Extensions
by: Yoon, YoungChul, et al.
Published: (2025) -
Distributionally Fair Stochastic Optimization using Wasserstein Distance
by: Ye, Qing, et al.
Published: (2024) -
A Distributionally Robust Optimization Approach to Quick Response Models under Demand Uncertainty
by: Papavassilopoulos, Panayotis P., et al.
Published: (2025) -
Sample Complexity of Data-driven Multistage Stochastic Programming under Markovian Uncertainty
by: Park, Hyuk, et al.
Published: (2024) -
Distributionally Robust Performative Optimization
by: Jia, Zhuangzhuang, et al.
Published: (2024)