Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Bian, Zeyu, Biggs, Max, Gao, Ruijiang, Qi, Zhengling |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
LIBRA: Language Model Informed Bandit Recourse Algorithm for Personalized Treatment Planning
par: Cao, Junyu, et autres
Publié: (2026)
par: Cao, Junyu, et autres
Publié: (2026)
Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand
par: Gundem, Korel, et autres
Publié: (2025)
par: Gundem, Korel, et autres
Publié: (2025)
Unified Algorithms for RL with Decision-Estimation Coefficients: PAC, Reward-Free, Preference-Based Learning, and Beyond
par: Chen, Fan, et autres
Publié: (2022)
par: Chen, Fan, et autres
Publié: (2022)
Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits
par: Chen, Fan, et autres
Publié: (2025)
par: Chen, Fan, et autres
Publié: (2025)
Beyond identifiability: Learning causal representations with few environments and finite samples
par: Lee, Inbeom, et autres
Publié: (2026)
par: Lee, Inbeom, et autres
Publié: (2026)
Stein-Rule Shrinkage for Stochastic Gradient Estimation in High Dimensions
par: Arashi, M., et autres
Publié: (2026)
par: Arashi, M., et autres
Publié: (2026)
Evaluating LLMs When They Do Not Know the Answer: Statistical Evaluation of Mathematical Reasoning via Comparative Signals
par: Dong, Zihan, et autres
Publié: (2026)
par: Dong, Zihan, et autres
Publié: (2026)
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
par: Tohme, Tony, et autres
Publié: (2023)
par: Tohme, Tony, et autres
Publié: (2023)
A Computational Theory for Efficient Mini Agent Evaluation with Causal Guarantees
par: Yan, Hedong
Publié: (2025)
par: Yan, Hedong
Publié: (2025)
Efficient Knowledge Distillation via Curriculum Extraction
par: Gupta, Shivam, et autres
Publié: (2025)
par: Gupta, Shivam, et autres
Publié: (2025)
Training Implicit Generative Models via an Invariant Statistical Loss
par: de Frutos, José Manuel, et autres
Publié: (2024)
par: de Frutos, José Manuel, et autres
Publié: (2024)
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
par: Liu, Shuang, et autres
Publié: (2025)
par: Liu, Shuang, et autres
Publié: (2025)
Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability
par: Yu, Lijia, et autres
Publié: (2025)
par: Yu, Lijia, et autres
Publié: (2025)
Cost-optimal Sequential Testing via Doubly Robust Q-learning
par: Zhou, Doudou, et autres
Publié: (2026)
par: Zhou, Doudou, et autres
Publié: (2026)
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy
par: Kaissis, Georgios, et autres
Publié: (2024)
par: Kaissis, Georgios, et autres
Publié: (2024)
Beyond Covariance Matrix: The Statistical Complexity of Private Linear Regression
par: Chen, Fan, et autres
Publié: (2025)
par: Chen, Fan, et autres
Publié: (2025)
Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
par: Mehrotra, Anay, et autres
Publié: (2026)
par: Mehrotra, Anay, et autres
Publié: (2026)
Optimal rates for density and mode estimation with expand-and-sparsify representations
par: Sinha, Kaushik, et autres
Publié: (2026)
par: Sinha, Kaushik, et autres
Publié: (2026)
Identifiability of Potentially Degenerate Gaussian Mixture Models With Piecewise Affine Mixing
par: Xu, Danru, et autres
Publié: (2026)
par: Xu, Danru, et autres
Publié: (2026)
Generalization Properties of Score-matching Diffusion Models for Intrinsically Low-dimensional Data
par: Chakraborty, Saptarshi, et autres
Publié: (2026)
par: Chakraborty, Saptarshi, et autres
Publié: (2026)
A Fine-Grained Understanding of Uniform Convergence for Halfspaces
par: Kontorovich, Aryeh, et autres
Publié: (2026)
par: Kontorovich, Aryeh, et autres
Publié: (2026)
Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs
par: Dong, Zihan, et autres
Publié: (2026)
par: Dong, Zihan, et autres
Publié: (2026)
Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models
par: Balasubramanian, Krishnakumar
Publié: (2026)
par: Balasubramanian, Krishnakumar
Publié: (2026)
Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective
par: Roy, Saptarshi, et autres
Publié: (2026)
par: Roy, Saptarshi, et autres
Publié: (2026)
Ordinary Least Squares is a Special Case of Transformer
par: Tan, Xiaojun, et autres
Publié: (2026)
par: Tan, Xiaojun, et autres
Publié: (2026)
A Unified Pair-GRPO Family: From Implicit to Explicit Preference Constraints for Stable and General RL Alignment
par: Yu, Hao
Publié: (2026)
par: Yu, Hao
Publié: (2026)
On the Optimal Sample Complexity of Offline Multi-Armed Bandits with KL Regularization
par: Ji, Kaixuan, et autres
Publié: (2026)
par: Ji, Kaixuan, et autres
Publié: (2026)
Statistical inference with belief functions: A survey
par: Cuzzolin, Fabio
Publié: (2026)
par: Cuzzolin, Fabio
Publié: (2026)
Conformal Policy Control
par: Prinster, Drew, et autres
Publié: (2026)
par: Prinster, Drew, et autres
Publié: (2026)
Can Generative Artificial Intelligence Survive Data Contamination? Theoretical Guarantees under Contaminated Recursive Training
par: Wang, Kevin, et autres
Publié: (2026)
par: Wang, Kevin, et autres
Publié: (2026)
Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
par: Ji, Kaixuan, et autres
Publié: (2026)
par: Ji, Kaixuan, et autres
Publié: (2026)
Chemical Reaction Networks Learn Better than Spiking Neural Networks
par: Jaffard, Sophie, et autres
Publié: (2026)
par: Jaffard, Sophie, et autres
Publié: (2026)
Total Variation Rates for Riemannian Flow Matching
par: Guan, Yunrui, et autres
Publié: (2026)
par: Guan, Yunrui, et autres
Publié: (2026)
RACER: Risk-Aware Calibrated Efficient Routing for Large Language Models
par: Hao, Sai, et autres
Publié: (2026)
par: Hao, Sai, et autres
Publié: (2026)
A Diffusion Analysis of Policy Gradient for Stochastic Bandits
par: Lattimore, Tor
Publié: (2026)
par: Lattimore, Tor
Publié: (2026)
A Quantitative Characterization of Forgetting in Post-Training
par: Balasubramanian, Krishnakumar, et autres
Publié: (2026)
par: Balasubramanian, Krishnakumar, et autres
Publié: (2026)
Generalization and Scaling Laws for Mixture-of-Experts Transformers
par: Mayaki, Mansour Zoubeirou a
Publié: (2026)
par: Mayaki, Mansour Zoubeirou a
Publié: (2026)
Adaptive auditing of AI systems with anytime-valid guarantees
par: Zhou, Siyu, et autres
Publié: (2026)
par: Zhou, Siyu, et autres
Publié: (2026)
Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs
par: Boudart, Pierre, et autres
Publié: (2026)
par: Boudart, Pierre, et autres
Publié: (2026)
Influence functions and regularity tangents for efficient active learning
par: Eaton, Frederik
Publié: (2024)
par: Eaton, Frederik
Publié: (2024)
Documents similaires
-
LIBRA: Language Model Informed Bandit Recourse Algorithm for Personalized Treatment Planning
par: Cao, Junyu, et autres
Publié: (2026) -
Offline Dynamic Inventory and Pricing Strategy: Addressing Censored and Dependent Demand
par: Gundem, Korel, et autres
Publié: (2025) -
Unified Algorithms for RL with Decision-Estimation Coefficients: PAC, Reward-Free, Preference-Based Learning, and Beyond
par: Chen, Fan, et autres
Publié: (2022) -
Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits
par: Chen, Fan, et autres
Publié: (2025) -
Beyond identifiability: Learning causal representations with few environments and finite samples
par: Lee, Inbeom, et autres
Publié: (2026)