Takuro Fukunaga
16 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
πΊοΈ
Taxonomy Completionist
(16)
π¬
Deep Specialist
(10)
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Dynamic Duo
(14)
π
Conference Pioneer
π₯
Unstoppable
(10)
ποΈ
Keyword Collector
(59)
π
Century Club
(16)
Conferences
NIPS (6)
AAAI (4)
AISTATS (2)
ICML (2)
IJCAI (2)
Top co-authors
Keywords
regret bound
(9)
multi-armed bandit
(4)
online learning
(4)
online algorithm
(4)
stochastic optimization
(2)
sparse linear regression
(2)
bandit feedback
(2)
contextual bandit
(2)
sublinear regret
(2)
resource allocation
(2)
online optimization
(2)
greedy algorithm
(2)
stochastic process
(2)
competitive analysis
(2)
oracle complexity
(1)
sequential decision making
(1)
algorithm design
(1)
cardinality constraint
(1)
feature selection
(1)
influence maximization
(1)
Papers
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem
AAAI 2024
Bandit Task Assignment with Unknown Processing Time
NIPS 2023
Online Task Assignment Problems with Reusable Resources
AAAI 2022
Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions
AAAI 2021
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits
AISTATS 2021
Delay and Cooperation in Nonstochastic Linear Bandits
NIPS 2020
Stochastic Submodular Maximization with Performance-Dependent Item Costs
AAAI 2019
Improved Regret Bounds for Bandit Combinatorial Optimization
NIPS 2019
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback
NIPS 2019
Causal Bandits with Propagating Inference
ICML 2018
Online Regression with Partial Information: Generalization and Linear Projection
AISTATS 2018
Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
NIPS 2018
Online Optimization of Video-Ad Allocation
IJCAI 2017
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
NIPS 2017
Adaptive Budget Allocation for Maximizing Influence of Advertisements
IJCAI 2016
Threshold Influence Model for Allocating Advertising Budgets
ICML 2015