Selective Reviews of Bandit Problems in AI via a Statistical View | Paper Citation Record

Observation 81e2ae6b-a340-45fe-bd5f-dda852e2d05f · outbound

This paper cites Reinforcement Learning: An Introduction, 2012.; MIT Press: Cambridge, USA.

Selective Reviews of Bandit Problems in AI via a Statistical View Reinforcement Learning: An Introduction, 2012.; MIT Press: Cambridge, USA

Reference 1

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Observation 0763cc2e-29ea-40cd-8042-21971c31b88c · outbound

This paper cites Statistical Reinforcement Learning: Modern Machine Learning Approaches; Chapman and Hall/CRC: New York, NY, USA, 2015; pp.

Selective Reviews of Bandit Problems in AI via a Statistical View Statistical Reinforcement Learning: Modern Machine Learning Approaches; Chapman and Hall/CRC: New York, NY, USA, 2015; pp

Reference 2

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Observation c8b36f9e-0c64-496a-bf41-120b816fb448 · outbound

This paper cites Autonomous Driving: Technical, Legal and Social Aspects; Springer: Berlin, Germany, 2016; pp.

Selective Reviews of Bandit Problems in AI via a Statistical View Autonomous Driving: Technical, Legal and Social Aspects; Springer: Berlin, Germany, 2016; pp

Reference 3

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Observation 146ee90a-bc47-4d69-bc04-b3ae1635a1ce · outbound

This paper cites Large-scale bandit approaches for recommender systems.

Selective Reviews of Bandit Problems in AI via a Statistical View Large-scale bandit approaches for recommender systems

Reference 4

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Observation 7a4c438f-769b-4f2e-8f18-eb191b9f41bf · outbound

This paper cites Unmanned aerial vehicles in agriculture: A survey.

Selective Reviews of Bandit Problems in AI via a Statistical View Unmanned aerial vehicles in agriculture: A survey

Reference 5

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Observation 2910521b-025d-4383-8cf3-d60929beb4e3 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Selective Reviews of Bandit Problems in AI via a Statistical View DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

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Observation 6ed0ff82-ab3c-4f2f-9106-69e7603efe2c · outbound

This paper cites Training language models to follow instructions with human feedback.

Selective Reviews of Bandit Problems in AI via a Statistical View Training language models to follow instructions with human feedback

Reference 7

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Observation 6177706e-6555-40da-a457-b52081b7a2cb · outbound

This paper cites Portfolio choices with orthogonal bandit learning.

Selective Reviews of Bandit Problems in AI via a Statistical View Portfolio choices with orthogonal bandit learning

Reference 8

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Observation 2a6824a6-b70f-4e8a-9df5-392257e3461d · outbound

This paper cites Causal Inference: A Statistical Learning Approach.

Selective Reviews of Bandit Problems in AI via a Statistical View Causal Inference: A Statistical Learning Approach

Reference 9

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Observation b68d1733-7928-4208-8f0e-1a8e3fa4a969 · outbound

This paper cites Enhancing digital twins through reinforcement learning.

Selective Reviews of Bandit Problems in AI via a Statistical View Enhancing digital twins through reinforcement learning

Reference 10

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Observation 46f5a32c-e922-4b55-a0d8-164ee9b9092a · outbound

This paper cites A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence.

Selective Reviews of Bandit Problems in AI via a Statistical View A digital twin to train deep reinforcement learning agent for smart manufacturing plants: Environment, interfaces and intelligence

Reference 11

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Observation 8ef55838-1cb8-45ea-bda9-cf20b193c793 · outbound

This paper cites Contextual bandits for adapting treatment in a mouse model of de novo carcinogenesis.

Selective Reviews of Bandit Problems in AI via a Statistical View Contextual bandits for adapting treatment in a mouse model of de novo carcinogenesis

Reference 12

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Observation f7334007-da33-43ba-acac-85043d93a927 · outbound

This paper cites Bandit algorithms for precision medicine.

Selective Reviews of Bandit Problems in AI via a Statistical View Bandit algorithms for precision medicine

Reference 13

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Observation 1493f2cb-e410-4ccb-a2f6-d009240318db · outbound

This paper cites A Survey on Practical Applications of Multi-Armed and Contextual Bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View A Survey on Practical Applications of Multi-Armed and Contextual Bandits

Reference 14

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Observation c2e159da-547d-484f-a105-e75b78f2cf9f · outbound

This paper cites Introduction to Multi-Armed Bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View Introduction to Multi-Armed Bandits

Reference 15

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Observation b663a39f-af77-47c5-b9fc-d45e7e50f14e · outbound

This paper cites Survey of multiarmed bandit algorithms applied to recommendation systems.

Selective Reviews of Bandit Problems in AI via a Statistical View Survey of multiarmed bandit algorithms applied to recommendation systems

Reference 16

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Observation 8ba06eed-5259-4ea6-b6f7-c7b32d6e0444 · outbound

This paper cites A map of bandits for e-commerce.

Selective Reviews of Bandit Problems in AI via a Statistical View A map of bandits for e-commerce

Reference 17

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Observation 4ff4db26-42cd-4450-b635-4530023264ef · outbound

This paper cites Bandit algorithms: A comprehensive review and their dynamic selection from a portfolio for multicriteria top-k recommendation.

Selective Reviews of Bandit Problems in AI via a Statistical View Bandit algorithms: A comprehensive review and their dynamic selection from a portfolio for multicriteria top-k recommendation

Reference 18

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Observation d1e498d6-2f4d-44a2-b26e-f308672166a0 · outbound

This paper cites A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit.

Selective Reviews of Bandit Problems in AI via a Statistical View A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.191877Z

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Observation 9e18d052-e029-4971-9d8e-83904ef4a5cd · outbound

This paper cites A survey on Multi-Armed, Contextual and Causal bandit algorithms for online learning Preprint.

Selective Reviews of Bandit Problems in AI via a Statistical View A survey on Multi-Armed, Contextual and Causal bandit algorithms for online learning Preprint

Reference 20

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Observation 18d2babb-9127-4835-8491-6691b5f9f468 · outbound

This paper cites Bandit Algorithms; Cambridge University Press: Cambridge, UK, 2020.

Selective Reviews of Bandit Problems in AI via a Statistical View Bandit Algorithms; Cambridge University Press: Cambridge, UK, 2020

Reference 21

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Observation e660a637-79a5-4803-9475-25cae82f4745 · outbound

This paper cites Zero-Inflated Bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View Zero-Inflated Bandits

Reference 23

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Observation 11d767a9-e3ae-4969-bb73-816579296c37 · outbound

This paper cites Sharper sub-weibull concentrations.

Selective Reviews of Bandit Problems in AI via a Statistical View Sharper sub-weibull concentrations

Reference 24

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Observation 6f4da297-5c5c-41be-8bdc-3c39d85c0b7f · outbound

This paper cites Non-asymptotic guarantees for robust statistical learning under infinite variance assumption.

Selective Reviews of Bandit Problems in AI via a Statistical View Non-asymptotic guarantees for robust statistical learning under infinite variance assumption

Reference 25

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Observation 2a983691-7e96-4bdc-b970-64945597e827 · outbound

This paper cites Time-uniform, nonparametric, nonasymptotic confidence sequences.

Selective Reviews of Bandit Problems in AI via a Statistical View Time-uniform, nonparametric, nonasymptotic confidence sequences

Reference 26

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Observation 9f90ae80-ca73-4873-8e82-93c49cb2fad1 · outbound

This paper cites Some aspects of the sequential design of experiments.

Selective Reviews of Bandit Problems in AI via a Statistical View Some aspects of the sequential design of experiments

Reference 27

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Observation aadd7250-5557-4d76-8258-1f50df2f8518 · outbound

This paper cites Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems.

Selective Reviews of Bandit Problems in AI via a Statistical View Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems

Reference 28

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Observation 4e9e63ad-da77-48b9-9f47-84b84dc758ac · outbound

This paper cites Asymptotically efficient adaptive allocation rules.

Selective Reviews of Bandit Problems in AI via a Statistical View Asymptotically efficient adaptive allocation rules

Reference 29

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Observation 77ec6fe0-057d-4d24-9ac1-334123927a80 · outbound

This paper cites Nearly dimension-independent sparse linear bandit over small action spaces via best subset selection.

Selective Reviews of Bandit Problems in AI via a Statistical View Nearly dimension-independent sparse linear bandit over small action spaces via best subset selection

Reference 30

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Observation 9b5579a0-7ba9-4928-af3f-74da1637b0ca · outbound

This paper cites High-dimensional sparse linear bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View High-dimensional sparse linear bandits

Reference 31

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Observation a8de1382-7523-4791-98e3-179518be1a0f · outbound

This paper cites Efficient sparse linear bandits under high dimensional data.

Selective Reviews of Bandit Problems in AI via a Statistical View Efficient sparse linear bandits under high dimensional data

Reference 32

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Observation aaa3fac3-8f7a-452c-a3a7-10f0d67660de · outbound

This paper cites Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks.

Selective Reviews of Bandit Problems in AI via a Statistical View Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks

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Observation 8e280187-cb73-492b-b5a8-c2c0eabc1aeb · outbound

This paper cites Tight non-asymptotic inference via sub-Gaussian intrinsic moment norm.

Selective Reviews of Bandit Problems in AI via a Statistical View Tight non-asymptotic inference via sub-Gaussian intrinsic moment norm

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Observation 4a42304f-ae47-4d9b-a341-f4503ddea64a · outbound

This paper cites A perspective on off-policy evaluation in reinforcement learning.

Selective Reviews of Bandit Problems in AI via a Statistical View A perspective on off-policy evaluation in reinforcement learning

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Observation 1279b8b7-cc81-4a4c-99a0-af66e4e35df6 · outbound

This paper cites The continuum-armed bandit problem.

Selective Reviews of Bandit Problems in AI via a Statistical View The continuum-armed bandit problem

Reference 36

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Observation c25e6dff-b202-4be8-9d19-6b8740d8a597 · outbound

This paper cites Optimal Design of Experiments; SIAM, Philadelphia, USA, 2006.

Selective Reviews of Bandit Problems in AI via a Statistical View Optimal Design of Experiments; SIAM, Philadelphia, USA, 2006

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This paper cites Bayesian Optimization; Cambridge University Press: Cambridge, UK, 2023.

Selective Reviews of Bandit Problems in AI via a Statistical View Bayesian Optimization; Cambridge University Press: Cambridge, UK, 2023

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Selective Reviews of Bandit Problems in AI via a Statistical View Gaussian processes for regression

Reference 39

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This paper cites On the mathematical foundations of theoretical statistics.

Selective Reviews of Bandit Problems in AI via a Statistical View On the mathematical foundations of theoretical statistics

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Observation 007c882e-4e17-42fe-8d68-5f67392086f2 · outbound

This paper cites Propriétés locales des fonctions à séries de Fourier aléatoires.

Selective Reviews of Bandit Problems in AI via a Statistical View Propriétés locales des fonctions à séries de Fourier aléatoires

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This paper cites Sur un nouveau théoreme-limite de la théorie des probabilités.

Selective Reviews of Bandit Problems in AI via a Statistical View Sur un nouveau théoreme-limite de la théorie des probabilités

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This paper cites Probability: A Graduate Course, 2nd ed.; Springer: New York, USA, 2013.

Selective Reviews of Bandit Problems in AI via a Statistical View Probability: A Graduate Course, 2nd ed.; Springer: New York, USA, 2013

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This paper cites Introduction to High-Dimensional Statistics, 2nd ed.; Chapman and Hall/CRC: Boca Raton, USA, 2021.

Selective Reviews of Bandit Problems in AI via a Statistical View Introduction to High-Dimensional Statistics, 2nd ed.; Chapman and Hall/CRC: Boca Raton, USA, 2021

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Observation 16680a2d-327b-4fc1-b584-1d4467fb7c79 · outbound

This paper cites Probability Inequalities for Sums of Bounded Random Variables.

Selective Reviews of Bandit Problems in AI via a Statistical View Probability Inequalities for Sums of Bounded Random Variables

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Observation a5f1cd02-3502-4c97-9c7c-1cca30942cb5 · outbound

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Selective Reviews of Bandit Problems in AI via a Statistical View Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator

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This paper cites Concentration inequalities for statistical inference.

Selective Reviews of Bandit Problems in AI via a Statistical View Concentration inequalities for statistical inference

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Observation c170a874-cbb0-46b2-b9f1-50af497e6621 · outbound

This paper cites Statistics and Information Theory.

Selective Reviews of Bandit Problems in AI via a Statistical View Statistics and Information Theory

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Observation d86d7eea-c0bb-4d37-8f24-51cb97d264f0 · outbound

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Selective Reviews of Bandit Problems in AI via a Statistical View High-Dimensional Statistics: A Non-Asymptotic Viewpoint; Cambridge University Press: Cambridge, UK, 2019

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Selective Reviews of Bandit Problems in AI via a Statistical View Unresolved cited work

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Observation 36fb986f-a123-4a46-9cc6-d492c544fc6e · outbound

This paper cites Provably optimal algorithms for generalized linear contextual bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View Provably optimal algorithms for generalized linear contextual bandits

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Selective Reviews of Bandit Problems in AI via a Statistical View Towards practical mean bounds for small samples

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Observation 1ce7abff-9dd7-4b91-913a-39d689f77a56 · outbound

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Selective Reviews of Bandit Problems in AI via a Statistical View Estimating means of bounded random variables by betting

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Observation 38b3e4ed-c75d-4fa1-a923-71e7ba6fcdef · outbound

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Selective Reviews of Bandit Problems in AI via a Statistical View Policy optimization using semiparametric models for dynamic pricing

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Observation 0bae87f5-3fc8-433f-bdab-2b918c778cb4 · outbound

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Selective Reviews of Bandit Problems in AI via a Statistical View Sums of Independent Random Variables; Springer: Berlin, German, 1975

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This paper cites Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science; Cambridge University Press: Cambridge, UK, 2021.

Selective Reviews of Bandit Problems in AI via a Statistical View Computer Age Statistical Inference, Student Edition: Algorithms, Evidence, and Data Science; Cambridge University Press: Cambridge, UK, 2021

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Observation a8020c61-8b5f-4338-9c1d-ac346b5dffb5 · outbound

This paper cites A Probabilistic Theory of Pattern Recognition; Springer: New York, USA, 1997.

Selective Reviews of Bandit Problems in AI via a Statistical View A Probabilistic Theory of Pattern Recognition; Springer: New York, USA, 1997

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Observation 2beb2960-2734-4728-8ff8-0819b2a53de8 · outbound

This paper cites Large deviation methods for approximate probabilistic inference.

Selective Reviews of Bandit Problems in AI via a Statistical View Large deviation methods for approximate probabilistic inference

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Observation cda4a12c-373d-4a9a-ac4c-eb6d331d5a4b · outbound

This paper cites Some nonasymptotic results on resampling in high dimension, I: confidence regions.

Selective Reviews of Bandit Problems in AI via a Statistical View Some nonasymptotic results on resampling in high dimension, I: confidence regions

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Observation b8b800d3-6308-4c96-ace3-7edd9a3ae446 · outbound

This paper cites Inference in a class of optimization problems: Confidence regions and finite sample bounds on errors in coverage probabilities.

Selective Reviews of Bandit Problems in AI via a Statistical View Inference in a class of optimization problems: Confidence regions and finite sample bounds on errors in coverage probabilities

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Observation da189c86-2fab-4207-b468-13a19b545775 · outbound

This paper cites Mathematical Statistics: A Non-Asymptotic Approach.

Selective Reviews of Bandit Problems in AI via a Statistical View Mathematical Statistics: A Non-Asymptotic Approach

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Observation 0b6c26e6-9fce-4ab5-89d1-f31bfea5cb4a · outbound

This paper cites Finite-time analysis of vector autoregressive models under linear restrictions.

Selective Reviews of Bandit Problems in AI via a Statistical View Finite-time analysis of vector autoregressive models under linear restrictions

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Observation abafe999-fa65-41af-97e4-8a109f9288b9 · outbound

This paper cites Fast nonasymptotic testing and support recovery for large sparse Toeplitz covariance matrices.

Selective Reviews of Bandit Problems in AI via a Statistical View Fast nonasymptotic testing and support recovery for large sparse Toeplitz covariance matrices

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.387930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f98a572-b2f0-45a6-ba61-d069a5d2a060 · outbound

This paper cites Valid and Approximately Valid Confidence Intervals for Current Status Data.J.

Selective Reviews of Bandit Problems in AI via a Statistical View Valid and Approximately Valid Confidence Intervals for Current Status Data.J

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.392139Z

Source-reported events for the cited work

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Observation 2a499c20-b3e4-4afc-b241-95808271f910 · outbound

This paper cites Finite sample change point inference and identification for high-dimensional mean vectors.

Selective Reviews of Bandit Problems in AI via a Statistical View Finite sample change point inference and identification for high-dimensional mean vectors

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.396454Z

Source-reported events for the cited work

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Observation acca8b0a-bf46-45a8-9d6a-51ae7f15d22e · outbound

This paper cites What Doubling Tricks Can and Can't Do for Multi-Armed Bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View What Doubling Tricks Can and Can't Do for Multi-Armed Bandits

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.400727Z

Source-reported events for the cited work

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Observation c4dbcb1e-14b2-4f0d-bb80-4e06f19b971c · outbound

This paper cites Adaptive treatment allocation and the multi-armed bandit problem.

Selective Reviews of Bandit Problems in AI via a Statistical View Adaptive treatment allocation and the multi-armed bandit problem

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.405883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de269d7c-e0f9-4aca-8285-636085728be5 · outbound

This paper cites On Lai's Upper Confidence Bound in Multi-Armed Bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View On Lai's Upper Confidence Bound in Multi-Armed Bandits

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.410543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2a2e000-cde3-473a-8a28-747ea8919f58 · outbound

This paper cites Introduction to Nonparametric Estimation; Springer: New York, USA, 2009.

Selective Reviews of Bandit Problems in AI via a Statistical View Introduction to Nonparametric Estimation; Springer: New York, USA, 2009

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Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.415483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16c7332e-151a-4c1b-9c98-ca7ae2b5f94e · outbound

This paper cites Minimax policies for adversarial and stochastic bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View Minimax policies for adversarial and stochastic bandits

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.420361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2a6ebf-b3a0-4dde-bf1e-ee65a8cc0d5c · outbound

This paper cites A tutorial on thompson sampling.

Selective Reviews of Bandit Problems in AI via a Statistical View A tutorial on thompson sampling

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.424829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94513faa-9a8b-47c0-8bed-013cddeacc05 · outbound

This paper cites On the likelihood that one unknown probability exceeds another in view of the evidence of two samples.

Selective Reviews of Bandit Problems in AI via a Statistical View On the likelihood that one unknown probability exceeds another in view of the evidence of two samples

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.429282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92685353-2ebb-4a2e-b3e0-2d666eb90632 · outbound

This paper cites MOTS: Minimax Optimal Thompson Sampling.

Selective Reviews of Bandit Problems in AI via a Statistical View MOTS: Minimax Optimal Thompson Sampling

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.433940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326d80b4-8544-4d47-8749-d11622990384 · outbound

This paper cites A contextual-bandit approach to personalized news article recommendation.

Selective Reviews of Bandit Problems in AI via a Statistical View A contextual-bandit approach to personalized news article recommendation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.438601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aed4a19-384e-41b2-b7e4-41be0f3f6c5d · outbound

This paper cites Mathematical Analysis of Machine Learning Algorithms; Cambridge University Press: Cambridge, UK, 2023.

Selective Reviews of Bandit Problems in AI via a Statistical View Mathematical Analysis of Machine Learning Algorithms; Cambridge University Press: Cambridge, UK, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.443689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25f87bce-a295-4012-b7bf-2961c0dba3b7 · outbound

This paper cites Stochastic Linear Optimization under Bandit Feedback.

Selective Reviews of Bandit Problems in AI via a Statistical View Stochastic Linear Optimization under Bandit Feedback

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.448168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbe83f8b-4038-467b-a687-828dd9018685 · outbound

This paper cites Thompson sampling for contextual bandits with linear payoffs.

Selective Reviews of Bandit Problems in AI via a Statistical View Thompson sampling for contextual bandits with linear payoffs

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.452681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d024b9-407d-4201-bc66-b3748d8beb05 · outbound

This paper cites Learning to optimize via posterior sampling.

Selective Reviews of Bandit Problems in AI via a Statistical View Learning to optimize via posterior sampling

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.457287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 148de462-3bdb-44e0-bfd7-b3afc3850f10 · outbound

This paper cites Neural contextual bandits with UCB-based exploration.

Selective Reviews of Bandit Problems in AI via a Statistical View Neural contextual bandits with UCB-based exploration

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.461771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0cf4b56-45b7-4d2b-983f-3f1c93157514 · outbound

This paper cites Neural Thompson Sampling.

Selective Reviews of Bandit Problems in AI via a Statistical View Neural Thompson Sampling

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.466130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6c9c7b6-f5f9-4126-b6a7-13ba4e937213 · outbound

This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.

Selective Reviews of Bandit Problems in AI via a Statistical View Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

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Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.470508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a52e18-bc88-4919-8692-1b434c476c84 · outbound

This paper cites A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning.

Selective Reviews of Bandit Problems in AI via a Statistical View A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-11T23:49:45.474766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9606d3c-d4f0-4371-bf7b-118843db379a · outbound

This paper cites A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions.

Selective Reviews of Bandit Problems in AI via a Statistical View A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.340253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dbad38de-2f1d-474b-a08a-300e75ac4650 · outbound

This paper cites Elements of Information Theory; Wiley-Interscience, Hoboken, USA, 2006.

Selective Reviews of Bandit Problems in AI via a Statistical View Elements of Information Theory; Wiley-Interscience, Hoboken, USA, 2006

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.324955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9e41b9bd-cc34-4e3a-bb0f-70170977bc64 · outbound

This paper cites On kernelized multi-armed bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View On kernelized multi-armed bandits

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.310155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ead6b690-1975-4a2b-8593-128bc70a1f2d · outbound

This paper cites Contextual Gaussian Process Bandit Optimization.

Selective Reviews of Bandit Problems in AI via a Statistical View Contextual Gaussian Process Bandit Optimization

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.295550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d33701a6-d9b9-46a7-a6d0-f7cc191a05a0 · outbound

This paper cites Active learning for level set estimation.

Selective Reviews of Bandit Problems in AI via a Statistical View Active learning for level set estimation

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.280740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c994caed-5650-4922-8384-a433b3b41d6f · outbound

This paper cites Gaussian process classification bandits.

Selective Reviews of Bandit Problems in AI via a Statistical View Gaussian process classification bandits

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.266604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1657248b-581b-4abc-af6c-2a392416c68b · outbound

This paper cites Gaussian Process Bandits Preprint.

Selective Reviews of Bandit Problems in AI via a Statistical View Gaussian Process Bandits Preprint

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.251926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c782a54-0861-4e89-a7ea-a3fcaeb31811 · outbound

This paper cites Uncertainty Quantification Using Martingales for Misspecified Gaussian Processes.

Selective Reviews of Bandit Problems in AI via a Statistical View Uncertainty Quantification Using Martingales for Misspecified Gaussian Processes

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.235911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d8b7d0f2-f67a-4472-a53c-b14152415b3b · outbound

This paper cites Confidence Bound Minimization for Bayesian Optimization with Student’s-t Processes.

Selective Reviews of Bandit Problems in AI via a Statistical View Confidence Bound Minimization for Bayesian Optimization with Student’s-t Processes

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.220095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3bd6f81f-be0d-4d87-a302-2061656ed001 · outbound

This paper cites Gaussian Processes for Machine Learning; MIT Press: Cambridge, MA, USA, 2006; Volume 2.

Selective Reviews of Bandit Problems in AI via a Statistical View Gaussian Processes for Machine Learning; MIT Press: Cambridge, MA, USA, 2006; Volume 2

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.204200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3afeb841-b61d-4813-bc85-ecc90d50c56c · outbound

This paper cites Continuum-Armed Bandits: A Function Space Perspective.

Selective Reviews of Bandit Problems in AI via a Statistical View Continuum-Armed Bandits: A Function Space Perspective

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.189172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b36f8349-ecb1-4791-a26d-789ac9adefef · outbound

This paper cites Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators; John Wiley & Sons, West Sussex, 2015.

Selective Reviews of Bandit Problems in AI via a Statistical View Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators; John Wiley & Sons, West Sussex, 2015

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.173468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55f0dbb1-4804-465c-b1ef-e50312025aa8 · outbound

This paper cites Gaussian Process Regression Analysis for Functional Data; CRC Press: 2011.

Selective Reviews of Bandit Problems in AI via a Statistical View Gaussian Process Regression Analysis for Functional Data; CRC Press: 2011

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.157647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 201cd93e-c87c-4dd5-9a06-cb7fe5d82577 · outbound

This paper cites Growing-dimensional partially functional linear models: non-asymptotic optimal prediction error.

Selective Reviews of Bandit Problems in AI via a Statistical View Growing-dimensional partially functional linear models: non-asymptotic optimal prediction error

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.141639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 54e88e2e-fa05-41ac-b077-f7af6b19afab · outbound

This paper cites Functional data analysis for sparse longitudinal data.

Selective Reviews of Bandit Problems in AI via a Statistical View Functional data analysis for sparse longitudinal data

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.125243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b2113caa-3a05-4bf1-a889-cb0eb9a682ff · outbound

This paper cites Functional linear regression for discretely observed data: From ideal to reality.

Selective Reviews of Bandit Problems in AI via a Statistical View Functional linear regression for discretely observed data: From ideal to reality

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.109499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bba2a456-18ea-4383-8c42-75907155f359 · outbound

This paper cites Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm.

Selective Reviews of Bandit Problems in AI via a Statistical View Stochastic continuum-armed bandits with additive models: Minimax regrets and adaptive algorithm

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.092979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37b6be50-ceae-4c39-88a6-5ed148000fb2 · outbound

This paper cites Optimal designs for longitudinal and functional data.

Selective Reviews of Bandit Problems in AI via a Statistical View Optimal designs for longitudinal and functional data

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.076889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3066bb7-8604-466e-9212-3bf77b7a2637 · outbound

This paper cites One-armed bandit problems with covariates.

Selective Reviews of Bandit Problems in AI via a Statistical View One-armed bandit problems with covariates

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:49:47.061860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

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Outbound references

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