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Gergely Neu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Gergely Neu
17
papers ·
0
citations ·
20
h-index
Universitat Pompeu Fabra
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Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Online learning with noisy side observations
2026
Efficient learning by implicit exploration in bandit problems with side observations
2026
Online combinatorial optimization with stochastic decision sets and adversarial losses
2026
Online learning with Erdős-Rényi side-observation graphs
2026
Sparse Optimistic Information Directed Sampling
2025
Linear Bandits with Non-i.i.d. Noise
2025
Confidence Sequences for Generalized Linear Models via Regret Analysis
2025
On the Hardness of Inventory Management with Censored Demand Data
2017
Efficient and Robust Algorithms for Adversarial Linear Contextual Bandits
2020
Learning to maximize global influence from local observations
2021
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
2022
Online-to-PAC Conversions: Generalization Bounds via Regret Analysis
2023
Importance-Weighted Offline Learning Done Right
2023
Adversarial Contextual Bandits Go Kernelized
2023
Optimistic Information Directed Sampling
2024
Top co-authors
Julia Olkhovskaya
· 4
Michal Valko
· 4
G\'abor Lugosi
· 3
Hamish Flynn
· 3
Ludovic Schwartz
· 3
Matteo Papini
· 3
Eugenio Clerico
· 2
Tom\'a\v{s} Koc\'ak
· 2
Baptiste Ab\'el\`es
· 1
Germano Gabbianelli
· 1
Mihalis G. Markakis
· 1
Rémi Munos
· 1
Topics
cs.LG
stat.ML
math.ST
stat.TH
Exploration
Value-Based
Model-Based RL
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