Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhao, Zifeng, Jiang, Feiyu, Yu, Yi |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Transfer Learning for Nonparametric Contextual Dynamic Pricing
por: Wang, Fan, et al.
Publicado: (2025)
por: Wang, Fan, et al.
Publicado: (2025)
Locally Private Nonparametric Contextual Multi-armed Bandits
por: Ma, Yuheng, et al.
Publicado: (2025)
por: Ma, Yuheng, et al.
Publicado: (2025)
Federated Transfer Learning with Differential Privacy
por: Li, Mengchu, et al.
Publicado: (2024)
por: Li, Mengchu, et al.
Publicado: (2024)
Rate Optimality and Phase Transition for User-Level Local Differential Privacy
por: Kent, Alexander, et al.
Publicado: (2024)
por: Kent, Alexander, et al.
Publicado: (2024)
GRAND: Graph Release with Assured Node Differential Privacy
por: Liu, Suqing, et al.
Publicado: (2025)
por: Liu, Suqing, et al.
Publicado: (2025)
Optimal Differentially Private Ranking from Pairwise Comparisons
por: Cai, T. Tony, et al.
Publicado: (2025)
por: Cai, T. Tony, et al.
Publicado: (2025)
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
por: Cohen, Doron, et al.
Publicado: (2024)
por: Cohen, Doron, et al.
Publicado: (2024)
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
por: Cai, T. Tony, et al.
Publicado: (2024)
por: Cai, T. Tony, et al.
Publicado: (2024)
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
por: Li, Xiang, et al.
Publicado: (2025)
por: Li, Xiang, et al.
Publicado: (2025)
Globally-Optimal Greedy Experiment Selection for Active Sequential Estimation
por: Li, Xiaoou, et al.
Publicado: (2024)
por: Li, Xiaoou, et al.
Publicado: (2024)
Optimal convex $M$-estimation via score matching
por: Feng, Oliver Y., et al.
Publicado: (2024)
por: Feng, Oliver Y., et al.
Publicado: (2024)
Policy Learning for Optimal Dynamic Treatment Regimes with Observational Data
por: Sakaguchi, Shosei
Publicado: (2024)
por: Sakaguchi, Shosei
Publicado: (2024)
The Role of Contextual Information in Best Arm Identification
por: Kato, Masahiro, et al.
Publicado: (2021)
por: Kato, Masahiro, et al.
Publicado: (2021)
Optimal Demixing of Nonparametric Densities
por: Fan, Jianqing, et al.
Publicado: (2026)
por: Fan, Jianqing, et al.
Publicado: (2026)
Markov Equivalence and Consistency in Differentiable Structure Learning
por: Deng, Chang, et al.
Publicado: (2024)
por: Deng, Chang, et al.
Publicado: (2024)
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
por: Kato, Masahiro
Publicado: (2023)
por: Kato, Masahiro
Publicado: (2023)
Adaptive Split Balancing for Optimal Random Forest
por: Zhang, Yuqian, et al.
Publicado: (2024)
por: Zhang, Yuqian, et al.
Publicado: (2024)
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
por: Cai, T. Tony, et al.
Publicado: (2023)
por: Cai, T. Tony, et al.
Publicado: (2023)
Differentiable Structure Learning and Causal Discovery for General Binary Data
por: Deng, Chang, et al.
Publicado: (2025)
por: Deng, Chang, et al.
Publicado: (2025)
Optimal Bias-variance Tradeoff in Matrix and Tensor Estimation
por: Kumar, Shivam, et al.
Publicado: (2025)
por: Kumar, Shivam, et al.
Publicado: (2025)
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
por: Tran, Binh Thuan, et al.
Publicado: (2025)
por: Tran, Binh Thuan, et al.
Publicado: (2025)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
por: Shen, Yinan, et al.
Publicado: (2026)
por: Shen, Yinan, et al.
Publicado: (2026)
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
por: Fan, Jianqing, et al.
Publicado: (2023)
por: Fan, Jianqing, et al.
Publicado: (2023)
Local Poisson Deconvolution for Discrete Signals
por: Hundrieser, Shayan, et al.
Publicado: (2025)
por: Hundrieser, Shayan, et al.
Publicado: (2025)
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift
por: Ge, Jiawei, et al.
Publicado: (2024)
por: Ge, Jiawei, et al.
Publicado: (2024)
Fairness-aware Bayes optimal functional classification
por: Hu, Xiaoyu, et al.
Publicado: (2025)
por: Hu, Xiaoyu, et al.
Publicado: (2025)
Optimal and Structure-Adaptive CATE Estimation with Kernel Ridge Regression
por: Kim, Seok-Jin
Publicado: (2026)
por: Kim, Seok-Jin
Publicado: (2026)
Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
por: Agarwal, Medha, et al.
Publicado: (2026)
por: Agarwal, Medha, et al.
Publicado: (2026)
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
por: Balakrishnan, Sivaraman, et al.
Publicado: (2025)
por: Balakrishnan, Sivaraman, et al.
Publicado: (2025)
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
por: Bing, Xin, et al.
Publicado: (2022)
por: Bing, Xin, et al.
Publicado: (2022)
Ask for More Than Bayes Optimal: A Theory of Indecisions for Classification
por: Ndaoud, Mohamed, et al.
Publicado: (2024)
por: Ndaoud, Mohamed, et al.
Publicado: (2024)
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
por: Ma, Zhengchi, et al.
Publicado: (2024)
por: Ma, Zhengchi, et al.
Publicado: (2024)
Optimal sparse phase retrieval via a quasi-Bayesian approach
por: Mai, The Tien
Publicado: (2025)
por: Mai, The Tien
Publicado: (2025)
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning
por: Shen, Ye, et al.
Publicado: (2021)
por: Shen, Ye, et al.
Publicado: (2021)
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
por: Auddy, Arnab, et al.
Publicado: (2024)
por: Auddy, Arnab, et al.
Publicado: (2024)
Locally minimax optimal confidence sets for the best model
por: Kim, Ilmun, et al.
Publicado: (2025)
por: Kim, Ilmun, et al.
Publicado: (2025)
Distributional Treatment Effect Estimation across Heterogeneous Sites via Optimal Transport
por: Bateni, Borna, et al.
Publicado: (2025)
por: Bateni, Borna, et al.
Publicado: (2025)
Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
por: Zhang, Anru, et al.
Publicado: (2018)
por: Zhang, Anru, et al.
Publicado: (2018)
Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models
por: Lecoiu, Radu, et al.
Publicado: (2026)
por: Lecoiu, Radu, et al.
Publicado: (2026)
Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
por: Huang, Chengzhu, et al.
Publicado: (2025)
por: Huang, Chengzhu, et al.
Publicado: (2025)
Ejemplares similares
-
Transfer Learning for Nonparametric Contextual Dynamic Pricing
por: Wang, Fan, et al.
Publicado: (2025) -
Locally Private Nonparametric Contextual Multi-armed Bandits
por: Ma, Yuheng, et al.
Publicado: (2025) -
Federated Transfer Learning with Differential Privacy
por: Li, Mengchu, et al.
Publicado: (2024) -
Rate Optimality and Phase Transition for User-Level Local Differential Privacy
por: Kent, Alexander, et al.
Publicado: (2024) -
GRAND: Graph Release with Assured Node Differential Privacy
por: Liu, Suqing, et al.
Publicado: (2025)