Ken-Ichi Kawarabayashi
29 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Dynamic Duo
(14)
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(10)
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The Questioner
(2)
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Renaissance Researcher
(5)
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(99)
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Research topics
Machine Learning
(21)
Optimization & Theory
(16)
Mathematics & Optimization
(13)
Optimization
(13)
Learning Types
(7)
Core Methods
(6)
Deep Learning
(4)
Artificial Intelligence
(3)
Knowledge & Reasoning
(3)
Architectures
(3)
Core AI
(3)
Natural Language Processing
(2)
Reasoning
(2)
Resources & Methods
(2)
Reinforcement Learning
(1)
Keywords
regret bound
(9)
multi-armed bandit
(4)
online learning
(4)
online algorithm
(4)
approximation algorithm
(3)
graph neural network
(3)
combinatorial optimization
(2)
budget allocation
(2)
submodular maximization
(2)
stochastic optimization
(2)
contextual bandit
(2)
sublinear regret
(2)
sparse linear regression
(2)
stochastic process
(2)
representation learning
(2)
bandit feedback
(2)
traveling salesman problem
(2)
random walk
(1)
nash equilibrium
(1)
cross-lingual alignment
(1)
Papers
A TSP-Based Algorithm for Multi-League Traveling Tournament
AAAI 2026
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem
AAAI 2024
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings
IJCNLP 2023
Bandit Task Assignment with Unknown Processing Time
NeurIPS 2023
Online Task Assignment Problems with Reusable Resources
AAAI 2022
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits
AISTATS 2021
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
ICLR 2021
Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions
AAAI 2021
RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding
EACL 2021
Delay and Cooperation in Nonstochastic Linear Bandits
NeurIPS 2020
What Can Neural Networks Reason About?
ICLR 2020
Are Girls Neko or ShΕjo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization
ACL 2019
Improved Regret Bounds for Bandit Combinatorial Optimization
NeurIPS 2019
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback
NeurIPS 2019
Stochastic Submodular Maximization with Performance-Dependent Item Costs
AAAI 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
NeurIPS 2018
Representation Learning on Graphs with Jumping Knowledge Networks
ICML 2018
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
IJCAI 2018
An Improved Approximation Algorithm for the Subpath Planning Problem and Its Generalization
IJCAI 2017
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
NeurIPS 2017
Adaptive Budget Allocation for Maximizing Influence of Advertisements
IJCAI 2016
Identifying Key Observers to Find Popular Information in Advance
IJCAI 2016
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
ICML 2015
Embedding Semantic Relations into Word Representations
IJCAI 2015
Unsupervised Cross-Domain Word Representation Learning
ACL 2015
Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm
ICML 2014
Mining for Analogous Tuples from an Entity-Relation Graph
IJCAI 2013