Tzu-kuo Huang
10 papers · 2006–2019 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(10)
Learning Types
(8)
Core Methods
(7)
Artificial Intelligence
(5)
Mathematics & Optimization
(4)
Optimization & Theory
(4)
Bayesian & Probabilistic Β· Machine Learning
(3)
Learning Paradigms
(3)
Mathematics
(3)
Optimization
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Methods
(1)
Keywords
active learning
(5)
multi-class classification
(4)
hidden markov model
(2)
cost-sensitive classification
(2)
time series
(2)
spectral learning
(2)
agnostic learning
(2)
covariance estimation
(1)
convex optimization
(1)
matrix decomposition
(1)
empirical risk minimization
(1)
domain adaptation
(1)
probability estimation
(1)
query complexity
(1)
stationary distribution
(1)
convex minimization
(1)
tensor decomposition
(1)
bradley-terry model
(1)
non-sequence data
(1)
transfer learning
(1)
Papers
Active Learning for Cost-Sensitive Classification
JMLR 2019
Active Learning for Cost-Sensitive Classification
ICML 2017
Active Learning with Oracle Epiphany
NeurIPS 2016
Efficient and Parsimonious Agnostic Active Learning
NeurIPS 2015
Active Transfer Learning under Model Shift
ICML 2014
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition
NeurIPS 2013
Spectral Learning of Hidden Markov Models from Dynamic and Static Data
ICML 2013
Learning Auto-regressive Models from Sequence and Non-sequence Data
NeurIPS 2011
Ranking Individuals by Group Comparisons
JMLR 2008
Generalized Bradley-Terry Models and Multi-Class Probability Estimates
JMLR 2006