Tsuyoshi Ide
8 papers · 2013–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Half 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🧭
Keyword Pioneer
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(7)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
Optimization
(2)
Knowledge & Reasoning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Learning Paradigms
(1)
Learning Types
(1)
Mathematics
(1)
Probability
(1)
Reasoning
(1)
Keywords
responsibility score
(2)
hawkes process
(2)
granger causality
(2)
causal inference
(1)
link prediction
(1)
probabilistic modeling
(1)
anomaly detection
(1)
change detection
(1)
sparse learning
(1)
density estimation
(1)
causal discovery
(1)
semiconductor manufacturing
(1)
distributed optimization
(1)
probability estimation
(1)
natural gradient
(1)
point process
(1)
markov chain
(1)
directed graph
(1)
collaborative learning
(1)
regularized optimization
(1)
Papers
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
AISTATS 2024
Directed Graph Auto-Encoders
AAAI 2022
Anomaly Attribution with Likelihood Compensation
AAAI 2021
Cardinality-Regularized Hawkes-Granger Model
NeurIPS 2021
Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks
IJCAI 2019
Tensorial Change Analysis Using Probabilistic Tensor Regression
AAAI 2019
Change Detection Using Directional Statistics
IJCAI 2016
Solving inverse problem of Markov chain with partial observations
NeurIPS 2013