← Authors

Tzu-kuo Huang

10 papers · 2006–2019 · 3 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (3) 🌟 Keyword Trendsetter Combo (3) 🧬 Topic Evolution πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

NIPS (4) ICML (3) JMLR (3)

Top co-authors

Alekh Agarwal (3) John Langford (3) Jeff Schneider (3) Akshay Krishnamurthy (2) Chih-Jen Lin (2) Hal Daume III (2) Ruby C. Weng (2) Lihong Li (1) Robert E. Schapire (1) Daniel J. Hsu (1)

Keywords

active learning (5) multi-class classification (4) hidden markov model (2) cost-sensitive classification (2) spectral learning (2) time series (2) covariance estimation (1) convex optimization (1) matrix decomposition (1) multiclass classification (1) agnostic learning (1) domain adaptation (1) probability estimation (1) query complexity (1) vector auto-regression (1) convex minimization (1) stationary distribution (1) tensor decomposition (1) bradley-terry model (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 NIPS 2016
Efficient and Parsimonious Agnostic Active Learning NIPS 2015
Active Transfer Learning under Model Shift ICML 2014
Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NIPS 2013
Learning Auto-regressive Models from Sequence and Non-sequence Data NIPS 2011
Ranking Individuals by Group Comparisons JMLR 2008
Generalized Bradley-Terry Models and Multi-Class Probability Estimates JMLR 2006