Saved in:
| Main Authors: | Hu, Haichen, Simchi-Levi, David |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.07852 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Constrained Online Decision-Making: A Unified Framework
by: Hu, Haichen, et al.
Published: (2025)
by: Hu, Haichen, et al.
Published: (2025)
Contextual Online Decision Making with Infinite-Dimensional Functional Regression
by: Hu, Haichen, et al.
Published: (2025)
by: Hu, Haichen, et al.
Published: (2025)
Perturbing the Derivative: Wild Refitting for Model-Free Evaluation of Machine Learning Models under Bregman Losses
by: Hu, Haichen, et al.
Published: (2025)
by: Hu, Haichen, et al.
Published: (2025)
Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors
by: Hu, Haichen, et al.
Published: (2025)
by: Hu, Haichen, et al.
Published: (2025)
Interleaved Resampling and Refitting: Data and Compute-Efficient Evaluation of Black-Box Predictors
by: Hu, Haichen, et al.
Published: (2026)
by: Hu, Haichen, et al.
Published: (2026)
Model-Based Reinforcement Learning with Double Oracle Efficiency in Policy Optimization and Offline Estimation
by: Hu, Haichen, et al.
Published: (2026)
by: Hu, Haichen, et al.
Published: (2026)
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff
by: Qian, Jian, et al.
Published: (2024)
by: Qian, Jian, et al.
Published: (2024)
Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
by: Chen, Hongyu, et al.
Published: (2026)
by: Chen, Hongyu, et al.
Published: (2026)
Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
by: Chen, Fan, et al.
Published: (2025)
by: Chen, Fan, et al.
Published: (2025)
Online Resource Allocation with Average Budget Constraints
by: Ao, Ruicheng, et al.
Published: (2024)
by: Ao, Ruicheng, et al.
Published: (2024)
Blind Network Revenue Management and Bandits with Knapsacks under Limited Switches
by: Simchi-Levi, David, et al.
Published: (2019)
by: Simchi-Levi, David, et al.
Published: (2019)
Beyond ATE: Multi-Criteria Design for A/B Testing
by: Li, Jiachun, et al.
Published: (2025)
by: Li, Jiachun, et al.
Published: (2025)
From Confounding to Learning: Dynamic Service Fee Pricing on Third-Party Platforms
by: Ai, Rui, et al.
Published: (2025)
by: Ai, Rui, et al.
Published: (2025)
Optimal Adaptive Experimental Design for Estimating Treatment Effect
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, et al.
Published: (2024)
A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits
by: Simchi-Levi, David, et al.
Published: (2022)
by: Simchi-Levi, David, et al.
Published: (2022)
OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
Prediction-Guided Active Experiments
by: Ao, Ruicheng, et al.
Published: (2024)
by: Ao, Ruicheng, et al.
Published: (2024)
Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
by: Chen, Shuze, et al.
Published: (2024)
by: Chen, Shuze, et al.
Published: (2024)
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints
by: Ao, Ruicheng, et al.
Published: (2025)
by: Ao, Ruicheng, et al.
Published: (2025)
Learning to Price with Resource Constraints: From Full Information to Machine-Learned Prices
by: Ao, Ruicheng, et al.
Published: (2025)
by: Ao, Ruicheng, et al.
Published: (2025)
Sobolev Norm Learning Rates for Conditional Mean Embeddings
by: Talwai, Prem, et al.
Published: (2021)
by: Talwai, Prem, et al.
Published: (2021)
The Value of Information in Resource-Constrained Pricing
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
On the Optimal Regret of Locally Private Linear Contextual Bandit
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, et al.
Published: (2024)
Assured autonomy: How operations research powers and orchestrates generative AI systems
by: Dai, Tinglong, et al.
Published: (2025)
by: Dai, Tinglong, et al.
Published: (2025)
Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk
by: Simchi-Levi, David, et al.
Published: (2023)
by: Simchi-Levi, David, et al.
Published: (2023)
Privacy Preserving Adaptive Experiment Design
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, et al.
Published: (2024)
On the Reliability Limits of LLM-Based Multi-Agent Planning
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates
by: Wang, Wenjia, et al.
Published: (2025)
by: Wang, Wenjia, et al.
Published: (2025)
Regret Minimization and Statistical Inference in Online Decision Making with High-dimensional Covariates
by: Duan, Congyuan, et al.
Published: (2024)
by: Duan, Congyuan, et al.
Published: (2024)
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
by: Xing, Yue, et al.
Published: (2024)
by: Xing, Yue, et al.
Published: (2024)
Covariance-Aware Transformers for Quadratic Programming and Decision Making
by: Tire, Kutay, et al.
Published: (2026)
by: Tire, Kutay, et al.
Published: (2026)
Best Arm Identification with LLM Judges and Limited Human
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
Theoretical Perspectives on Data Quality and Synergistic Effects in Pre- and Post-Training Reasoning Models
by: Javanmard, Adel, et al.
Published: (2026)
by: Javanmard, Adel, et al.
Published: (2026)
PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
Human-Aligned Calibration for AI-Assisted Decision Making
by: Benz, Nina L. Corvelo, et al.
Published: (2023)
by: Benz, Nina L. Corvelo, et al.
Published: (2023)
Designing Service Systems from Textual Evidence
by: Ao, Ruicheng, et al.
Published: (2026)
by: Ao, Ruicheng, et al.
Published: (2026)
Multi-agent Adaptive Mechanism Design
by: Han, Qiushi, et al.
Published: (2025)
by: Han, Qiushi, et al.
Published: (2025)
Information-Theoretic Generalization Bounds for Sequential Decision Making
by: Futami, Futoshi, et al.
Published: (2026)
by: Futami, Futoshi, et al.
Published: (2026)
TRACE: Theoretical Risk Attribution under Covariate-shift Effects
by: Anjidani, Hosein, et al.
Published: (2026)
by: Anjidani, Hosein, et al.
Published: (2026)
Similar Items
-
Constrained Online Decision-Making: A Unified Framework
by: Hu, Haichen, et al.
Published: (2025) -
Contextual Online Decision Making with Infinite-Dimensional Functional Regression
by: Hu, Haichen, et al.
Published: (2025) -
Perturbing the Derivative: Wild Refitting for Model-Free Evaluation of Machine Learning Models under Bregman Losses
by: Hu, Haichen, et al.
Published: (2025) -
Perturbing the Derivative: Doubly Wild Refitting for Model-Free Evaluation of Opaque Machine Learning Predictors
by: Hu, Haichen, et al.
Published: (2025) -
Interleaved Resampling and Refitting: Data and Compute-Efficient Evaluation of Black-Box Predictors
by: Hu, Haichen, et al.
Published: (2026)