Concentration Inequalities for Multinoulli Random Variables
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Abstract (arXiv)
We investigate concentration inequalities for Dirichlet and Multinomial random variables.
Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Jan 2020.
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Citing papers per year: 2021: 4; 2022: 4; 2023: 4.
12 papers.
- 2021Top-label calibration and multiclass-to-binary reductionscited by 46
- 2022Robustness Implies Generalization via Data-Dependent Generalization Boundscited by 23
- 2022From Dirichlet to Rubin: Optimistic Exploration in RL without Bonusescited by 22
- 2021Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfittingcited by 14
- 2022Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guaranteescited by 12
- 2023Probabilistic Inference in Reinforcement Learning Done Rightcited by 11
- 2022On Efficient Online Imitation Learning via Classificationcited by 5
- 2021Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism?cited by 1
- 2023Fair Clustering via Hierarchical Fair-Dirichlet Processcited by 1
- 2021Operator Shifting for Model-based Policy Evaluationcited by 0
- 2023Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfercited by 0
- 2023Agnostic Interactive Imitation Learning: New Theory and Practical Algorithmscited by 0
- 2023Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms28 Dec 2023
- 2023Probabilistic Inference in Reinforcement Learning Done Right22 Nov 2023
- 2023Fair Clustering via Hierarchical Fair-Dirichlet Process27 May 2023
- 2023Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer18 Feb 2023
- 2022Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees28 Sep 2022
- 2022On Efficient Online Imitation Learning via Classification26 Sep 2022
- 2022Robustness Implies Generalization via Data-Dependent Generalization Bounds27 Jun 2022
- 2022From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses16 May 2022
- 2021Operator Shifting for Model-based Policy Evaluation25 Oct 2021
- 2021Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting7 Oct 2021
- 2021Top-label calibration and multiclass-to-binary reductions18 Jul 2021
- 2021Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism?16 Jun 2021