Dirk van der Hoeven
18 papers · 2019–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(18)
Mathematics & Optimization
(14)
Learning Types
(14)
Optimization & Theory
(14)
Optimization
(13)
Core Methods
(3)
Application Areas
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Differential Privacy
(1)
Methods
(1)
Statistics
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Keywords
regret bound
(15)
online learning
(9)
multi-armed bandit
(7)
delayed feedback
(4)
online convex optimization
(3)
bandit feedback
(3)
feedback graph
(3)
surrogate loss
(3)
adversarial setting
(2)
combinatorial optimization
(2)
linear bandit
(2)
combinatorial semi-bandit
(2)
follow the regularized leader
(2)
markov decision process
(2)
expert advice
(2)
privacy-preserving learning
(1)
strongly convex
(1)
adaptive learning
(1)
stochastic gradient descent
(1)
multi-class classification
(1)
Papers
Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability
ALT 2026
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
JMLR 2025
Online Newton Method for Bandit Convex Optimisation Extended Abstract
COLT 2024
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs
COLT 2023
Delayed Bandits: When Do Intermediate Observations Help?
ICML 2023
Nonstochastic Contextual Combinatorial Bandits
AISTATS 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
ICML 2023
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
NeurIPS 2022
A Regret-Variance Trade-Off in Online Learning
NeurIPS 2022
Distributed Online Learning for Joint Regret with Communication Constraints
ALT 2022
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
NeurIPS 2022
Nonstochastic Bandits and Experts with Arm-Dependent Delays
AISTATS 2022
Beyond Bandit Feedback in Online Multiclass Classification
NeurIPS 2021
MetaGrad: Adaptation using Multiple Learning Rates in Online Learning
JMLR 2021
Comparator-Adaptive Convex Bandits
NeurIPS 2020
Exploiting the Surrogate Gap in Online Multiclass Classification
NeurIPS 2020
Open Problem: Fast and Optimal Online Portfolio Selection
COLT 2020
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning
NeurIPS 2019