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Concentration Inequalities for Multinoulli Random Variables

Concentration Inequalities for Multinoulli Random Variables

30 January 2020
Jian Qian
Ronan Fruit
Matteo Pirotta
A. Lazaric
ArXivPDFHTML

Papers citing "Concentration Inequalities for Multinoulli Random Variables"

13 / 13 papers shown
Title
Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein
  space
Optimal sequencing depth for single-cell RNA-sequencing in Wasserstein space
Jakwang Kim
Sharvaj Kubal
Geoffrey Schiebinger
24
1
0
22 Sep 2024
Agnostic Interactive Imitation Learning: New Theory and Practical
  Algorithms
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
Yichen Li
Chicheng Zhang
OffRL
33
0
0
28 Dec 2023
Probabilistic Inference in Reinforcement Learning Done Right
Probabilistic Inference in Reinforcement Learning Done Right
Jean Tarbouriech
Tor Lattimore
Brendan O'Donoghue
BDL
OffRL
28
4
0
22 Nov 2023
Fair Clustering via Hierarchical Fair-Dirichlet Process
Fair Clustering via Hierarchical Fair-Dirichlet Process
Abhisek Chakraborty
A. Bhattacharya
D. Pati
FaML
26
3
0
27 May 2023
Reinforcement Learning in the Wild with Maximum Likelihood-based Model
  Transfer
Reinforcement Learning in the Wild with Maximum Likelihood-based Model Transfer
Hannes Eriksson
D. Basu
Tommy Tram
Mina Alibeigi
Christos Dimitrakakis
21
1
0
18 Feb 2023
Optimistic Posterior Sampling for Reinforcement Learning with Few
  Samples and Tight Guarantees
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
D. Tiapkin
Denis Belomestny
Daniele Calandriello
Eric Moulines
Rémi Munos
A. Naumov
Mark Rowland
Michal Valko
Pierre Menard
41
8
0
28 Sep 2022
On Efficient Online Imitation Learning via Classification
On Efficient Online Imitation Learning via Classification
Yichen Li
Chicheng Zhang
62
3
0
26 Sep 2022
Robustness Implies Generalization via Data-Dependent Generalization
  Bounds
Robustness Implies Generalization via Data-Dependent Generalization Bounds
Kenji Kawaguchi
Zhun Deng
K. Luh
Jiaoyang Huang
OOD
21
23
0
27 Jun 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
D. Tiapkin
Denis Belomestny
Eric Moulines
A. Naumov
S. Samsonov
Yunhao Tang
Michal Valko
Pierre Menard
28
16
0
16 May 2022
Operator Shifting for Model-based Policy Evaluation
Operator Shifting for Model-based Policy Evaluation
Xun Tang
Lexing Ying
Yuhua Zhu
OffRL
11
1
0
25 Oct 2021
Label Noise in Adversarial Training: A Novel Perspective to Study Robust
  Overfitting
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting
Chengyu Dong
Liyuan Liu
Jingbo Shang
NoLa
AAML
56
18
0
07 Oct 2021
Top-label calibration and multiclass-to-binary reductions
Top-label calibration and multiclass-to-binary reductions
Chirag Gupta
Aaditya Ramdas
25
35
0
18 Jul 2021
Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more
  Scalable than Optimism?
Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism?
Nicolas Gast
B. Gaujal
K. Khun
10
2
0
16 Jun 2021
1