A conversion theorem and minimax optimality for continuum contextual bandits
Fuente:
arXiv
Saved in:
| Main Authors: | Akhavan, Arya, Lounici, Karim, Pontil, Massimiliano, Tsybakov, Alexandre B. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
Gradient-free stochastic optimization for additive models
by: Akhavan, Arya, et al.
Published: (2025)
by: Akhavan, Arya, et al.
Published: (2025)
Neural Conditional Probability for Uncertainty Quantification
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
Anytime-valid off-policy inference for contextual bandits
by: Waudby-Smith, Ian, et al.
Published: (2022)
by: Waudby-Smith, Ian, et al.
Published: (2022)
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)
Minimax-optimal trust-aware multi-armed bandits
by: Cai, Changxiao, et al.
Published: (2024)
by: Cai, Changxiao, et al.
Published: (2024)
Locally minimax optimal confidence sets for the best model
by: Kim, Ilmun, et al.
Published: (2025)
by: Kim, Ilmun, et al.
Published: (2025)
Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
by: Sadhukhan, Tathagata, et al.
Published: (2024)
by: Sadhukhan, Tathagata, et al.
Published: (2024)
Toeplitz Based Spectral Methods for Data-driven Dynamical Systems
by: Kostic, Vladimir R., et al.
Published: (2026)
by: Kostic, Vladimir R., et al.
Published: (2026)
Toward Scalable and Valid Conditional Independence Testing with Spectral Representations
by: Frohlich, Alek, et al.
Published: (2025)
by: Frohlich, Alek, et al.
Published: (2025)
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)
Learning invariant representations of time-homogeneous stochastic dynamical systems
by: Kostic, Vladimir R., et al.
Published: (2023)
by: Kostic, Vladimir R., et al.
Published: (2023)
Minimax estimation of functionals in sparse vector model with correlated observations
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Mathematics of statistical sequential decision-making: concentration, risk-awareness and modelling in stochastic bandits, with applications to bariatric surgery
by: Saux, Patrick
Published: (2024)
by: Saux, Patrick
Published: (2024)
Generalized multi-view model: Adaptive density estimation under low-rank constraints
by: Chhor, Julien, et al.
Published: (2024)
by: Chhor, Julien, et al.
Published: (2024)
Learning the Infinitesimal Generator of Stochastic Diffusion Processes
by: Kostic, Vladimir R., et al.
Published: (2024)
by: Kostic, Vladimir R., et al.
Published: (2024)
On the sample complexity of parameter estimation in logistic regression with normal design
by: Hsu, Daniel, et al.
Published: (2023)
by: Hsu, Daniel, et al.
Published: (2023)
High-probability minimax lower bounds
by: Ma, Tianyi, et al.
Published: (2024)
by: Ma, Tianyi, et al.
Published: (2024)
On the minimax optimality of Flow Matching through the connection to kernel density estimation
by: Kunkel, Lea, et al.
Published: (2025)
by: Kunkel, Lea, et al.
Published: (2025)
On the continuum limit of t-SNE for data visualization
by: Calder, Jeff, et al.
Published: (2026)
by: Calder, Jeff, et al.
Published: (2026)
Linear bandits with polylogarithmic minimax regret
by: Lumbreras, Josep, et al.
Published: (2024)
by: Lumbreras, Josep, et al.
Published: (2024)
Regularized least squares learning with heavy-tailed noise is minimax optimal
by: Mollenhauer, Mattes, et al.
Published: (2025)
by: Mollenhauer, Mattes, et al.
Published: (2025)
Statistical optimal transport
by: Chewi, Sinho, et al.
Published: (2024)
by: Chewi, Sinho, et al.
Published: (2024)
Entropic estimation of optimal transport maps
by: Pooladian, Aram-Alexandre, et al.
Published: (2021)
by: Pooladian, Aram-Alexandre, et al.
Published: (2021)
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
by: Jiang, Yiheng, et al.
Published: (2023)
by: Jiang, Yiheng, et al.
Published: (2023)
Learning sparse generalized linear models with binary outcomes via iterative hard thresholding
by: Matsumoto, Namiko, et al.
Published: (2025)
by: Matsumoto, Namiko, et al.
Published: (2025)
To bootstrap or to rollout? An optimal and adaptive interpolation
by: Mou, Wenlong, et al.
Published: (2024)
by: Mou, Wenlong, et al.
Published: (2024)
Local minima of the empirical risk in high dimension: General theorems and convex examples
by: Asgari, Kiana, et al.
Published: (2025)
by: Asgari, Kiana, et al.
Published: (2025)
Limit theorems of Chatterjee's rank correlation
by: Lin, Zhexiao, et al.
Published: (2022)
by: Lin, Zhexiao, et al.
Published: (2022)
Global optimality under amenable symmetry constraints
by: Orbanz, Peter
Published: (2024)
by: Orbanz, Peter
Published: (2024)
High dimensional theory of two-phase optimizers
by: Agarwala, Atish
Published: (2026)
by: Agarwala, Atish
Published: (2026)
Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer
by: Mustafi, Aratrika, et al.
Published: (2026)
by: Mustafi, Aratrika, et al.
Published: (2026)
Conformal Predictions under Markovian Data
by: Zheng, Frédéric, et al.
Published: (2024)
by: Zheng, Frédéric, et al.
Published: (2024)
One-step corrected projected stochastic gradient descent for statistical estimation
by: Brouste, Alexandre, et al.
Published: (2023)
by: Brouste, Alexandre, et al.
Published: (2023)
Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)
by: Liautaud, Paul, et al.
Published: (2024)
Inference via robust optimal transportation: theory and methods
by: Ma, Yiming, et al.
Published: (2023)
by: Ma, Yiming, et al.
Published: (2023)
Minimax optimal transfer learning for high-dimensional additive regression
by: Moon, Seung Hyun
Published: (2025)
by: Moon, Seung Hyun
Published: (2025)
Ledoit-Wolf linear shrinkage with unknown mean
by: Oriol, Benoit, et al.
Published: (2023)
by: Oriol, Benoit, et al.
Published: (2023)
Online selective conformal inference: adaptive scores, convergence rate and optimality
by: Humbert, Pierre, et al.
Published: (2025)
by: Humbert, Pierre, et al.
Published: (2025)
Random Subgraph Detection Using Queries
by: Huleihel, Wasim, et al.
Published: (2021)
by: Huleihel, Wasim, et al.
Published: (2021)
Similar Items
-
Laplace Transform Based Low-Complexity Learning of Continuous Markov Semigroups
by: Kostic, Vladimir R., et al.
Published: (2024) -
Gradient-free stochastic optimization for additive models
by: Akhavan, Arya, et al.
Published: (2025) -
Neural Conditional Probability for Uncertainty Quantification
by: Kostic, Vladimir R., et al.
Published: (2024) -
Anytime-valid off-policy inference for contextual bandits
by: Waudby-Smith, Ian, et al.
Published: (2022) -
Stochastic contextual bandits with graph feedback: from independence number to MAS number
by: Wen, Yuxiao, et al.
Published: (2024)