Precise Asymptotics and Refined Regret of Variance-Aware UCB
Fuente:
arXiv
Saved in:
| Main Authors: | Fan, Yingying, Han, Yuxuan, Lv, Jinchi, Xu, Xiaocong, Zhou, Zhengyuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
by: Fan, Yingying, et al.
Published: (2025)
by: Fan, Yingying, et al.
Published: (2025)
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025)
by: Fan, Jianqing, et al.
Published: (2025)
Exogenous Randomness Empowering Random Forests
by: Mei, Tianxing, et al.
Published: (2024)
by: Mei, Tianxing, et al.
Published: (2024)
ARK: Robust Knockoffs Inference with Coupling
by: Fan, Yingying, et al.
Published: (2023)
by: Fan, Yingying, et al.
Published: (2023)
Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
SOFARI: High-Dimensional Manifold-Based Inference
by: Zheng, Zemin, et al.
Published: (2023)
by: Zheng, Zemin, et al.
Published: (2023)
Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning
by: Fan, Yingying, et al.
Published: (2026)
by: Fan, Yingying, et al.
Published: (2026)
UCB algorithms for multi-armed bandits: Precise regret and adaptive inference
by: Han, Qiyang, et al.
Published: (2024)
by: Han, Qiyang, et al.
Published: (2024)
Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs
by: Boudart, Pierre, et al.
Published: (2026)
by: Boudart, Pierre, et al.
Published: (2026)
Statistical Inference under Adaptive Sampling with LinUCB
by: Fan, Wei, et al.
Published: (2025)
by: Fan, Wei, et al.
Published: (2025)
Extended UCB Policies for Multi-armed Bandit Problems
by: Liu, Keqin, et al.
Published: (2011)
by: Liu, Keqin, et al.
Published: (2011)
Truncated LinUCB for Stochastic Linear Bandits
by: Song, Yanglei, et al.
Published: (2022)
by: Song, Yanglei, et al.
Published: (2022)
Learning an Optimal Assortment Policy under Observational Data
by: Han, Yuxuan, et al.
Published: (2025)
by: Han, Yuxuan, et al.
Published: (2025)
Robust Assortment Optimization from Observational Data
by: Lu, Miao, et al.
Published: (2026)
by: Lu, Miao, et al.
Published: (2026)
On the Precise Asymptotics of Universal Inference
by: Takatsu, Kenta
Published: (2025)
by: Takatsu, Kenta
Published: (2025)
Gradient descent inference in empirical risk minimization
by: Han, Qiyang, et al.
Published: (2024)
by: Han, Qiyang, et al.
Published: (2024)
Variance-Aware Estimation of Kernel Mean Embedding
by: Wolfer, Geoffrey, et al.
Published: (2022)
by: Wolfer, Geoffrey, et al.
Published: (2022)
Precise Asymptotics of Bagging Regularized M-estimators
by: Koriyama, Takuya, et al.
Published: (2024)
by: Koriyama, Takuya, et al.
Published: (2024)
Stochastic contextual bandits with graph feedback: from independence number to MAS number
by: Wen, Yuxiao, et al.
Published: (2024)
by: Wen, Yuxiao, et al.
Published: (2024)
Self-Normalized Martingales and Uniform Regret Bounds for Linear Regression
by: Chen, Fan, et al.
Published: (2026)
by: Chen, Fan, et al.
Published: (2026)
Precise Asymptotics for Spectral Methods in Mixed Generalized Linear Models
by: Zhang, Yihan, et al.
Published: (2022)
by: Zhang, Yihan, et al.
Published: (2022)
A Random Matrix Perspective of Echo State Networks: From Precise Bias--Variance Characterization to Optimal Regularization
by: Moakher, Yessin, et al.
Published: (2025)
by: Moakher, Yessin, et al.
Published: (2025)
Non-Asymptotic Analysis of Data Augmentation for Precision Matrix Estimation
by: Morisset, Lucas, et al.
Published: (2025)
by: Morisset, Lucas, et al.
Published: (2025)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
by: Agrawal, Shubhada, et al.
Published: (2025)
by: Agrawal, Shubhada, et al.
Published: (2025)
Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
by: Dang, Hien, et al.
Published: (2026)
by: Dang, Hien, et al.
Published: (2026)
Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret
by: Agrawal, Shubhada, et al.
Published: (2026)
by: Agrawal, Shubhada, et al.
Published: (2026)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025)
by: Kovačević, Filip, et al.
Published: (2025)
Multimodal Bandits: Regret Lower Bounds and Optimal Algorithms
by: Réveillard, William, et al.
Published: (2025)
by: Réveillard, William, et al.
Published: (2025)
Variance Reduction for the Independent Metropolis Sampler
by: Liu, Siran, et al.
Published: (2024)
by: Liu, Siran, et al.
Published: (2024)
Variance estimation in graphs with the fused lasso
by: Padilla, Oscar Hernan Madrid
Published: (2022)
by: Padilla, Oscar Hernan Madrid
Published: (2022)
Confidence Sequences for Generalized Linear Models via Regret Analysis
by: Clerico, Eugenio, et al.
Published: (2025)
by: Clerico, Eugenio, et al.
Published: (2025)
On the Variance, Admissibility, and Stability of Empirical Risk Minimization
by: Kur, Gil, et al.
Published: (2023)
by: Kur, Gil, et al.
Published: (2023)
Thompson sampling: Precise arm-pull dynamics and adaptive inference
by: Han, Qiyang
Published: (2026)
by: Han, Qiyang
Published: (2026)
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization
by: Hu, Shouri, et al.
Published: (2022)
by: Hu, Shouri, et al.
Published: (2022)
Learning the Uncertainty Sets for Control Dynamics via Set Membership: A Non-Asymptotic Analysis
by: Li, Yingying, et al.
Published: (2023)
by: Li, Yingying, et al.
Published: (2023)
The Benefits of Balance: From Information Projections to Variance Reduction
by: Liu, Lang, et al.
Published: (2024)
by: Liu, Lang, et al.
Published: (2024)
Random Forests as Statistical Procedures: Design, Variance, and Dependence
by: O'Connell, Nathaniel S.
Published: (2026)
by: O'Connell, Nathaniel S.
Published: (2026)
Minimax Regret Learning for Data with Heterogeneous Subgroups
by: Mo, Weibin, et al.
Published: (2024)
by: Mo, Weibin, et al.
Published: (2024)
Jackknife Variance Estimation for Hájek-Dominated Generalized U-Statistics
by: Juergens, Jakob R.
Published: (2025)
by: Juergens, Jakob R.
Published: (2025)
Similar Items
-
Asymptotic FDR Control with Model-X Knockoffs: Is Moments Matching Sufficient?
by: Fan, Yingying, et al.
Published: (2025) -
Asymptotic Theory of Eigenvectors for Latent Embeddings with Generalized Laplacian Matrices
by: Fan, Jianqing, et al.
Published: (2025) -
Exogenous Randomness Empowering Random Forests
by: Mei, Tianxing, et al.
Published: (2024) -
ARK: Robust Knockoffs Inference with Coupling
by: Fan, Yingying, et al.
Published: (2023) -
Sharp Concentration Inequalities: Phase Transition and Mixing of Orlicz Tails with Variance
by: Shen, Yinan, et al.
Published: (2026)