Sequence Recognition with Scanning N-Tuple Ensembles. - Simon M. Lucas; Tzu-Kuo Huang (ICPR (3), 2004)

A Generalized Bradley-Terry Model: From Group Competition to Individual Skill. - Tzu-Kuo Huang; Chih-Jen Lin; Ruby C. Weng (NIPS, 2004)

Ranking individuals by group comparisons. - Tzu-Kuo Huang; Chih-Jen Lin; Ruby C. Weng (ICML, 2006)

Generalized Bradley-Terry Models and Multi-Class Probability Estimates. - Tzu-Kuo Huang; Ruby C. Weng; Chih-Jen Lin (J. Mach. Learn. Res., 2006)

Learning linear dynamical systems without sequence information. - Tzu-Kuo Huang; Jeff G. Schneider (ICML, 2009)

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. - Liang Xiong; Xi Chen 010; Tzu-Kuo Huang; Jeff G. Schneider; Jaime G. Carbonell (SDM, 2010)

Learning Nonlinear Dynamic Models from Non-sequenced Data. - Tzu-Kuo Huang; Le Song; Jeff G. Schneider (AISTATS, 2010)

Learning Auto-regressive Models from Sequence and Non-sequence Data. - Tzu-Kuo Huang; Jeff G. Schneider (NIPS, 2011)

Learning Bi-clustered Vector Autoregressive Models. - Tzu-Kuo Huang; Jeff G. Schneider (ECML/PKDD (2), 2012)

Spectral Learning of Hidden Markov Models from Dynamic and Static Data. - Tzu-Kuo Huang; Jeff G. Schneider (ICML (3), 2013)

Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition. - Tzu-Kuo Huang; Jeff G. Schneider (NIPS, 2013)

Exploiting Non-Sequence Data in Dynamic Model Learning. - Tzu-Kuo Huang (2013)

Active Transfer Learning under Model Shift. - Xuezhi Wang 002; Tzu-Kuo Huang; Jeff G. Schneider (ICML, 2014)

Efficient and Parsimonious Agnostic Active Learning. - Tzu-Kuo Huang; Alekh Agarwal; Daniel J. Hsu; John Langford 001; Robert E. Schapire (NIPS, 2015)

Active Search and Bandits on Graphs using Sigma-Optimality. - Yifei Ma; Tzu-Kuo Huang; Jeff G. Schneider (UAI, 2015)

Active Learning with Oracle Epiphany. - Tzu-Kuo Huang; Lihong Li 001; Ara Vartanian; Saleema Amershi; Xiaojin Zhu 001 (NIPS, 2016)

Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. - Mathias Lécuyer; Riley Spahn; Roxana Geambasu; Tzu-Kuo Huang; Siddhartha Sen 001 (IEEE Symposium on Security and Privacy, 2017)

Enhancing Selectivity in Big Data. - Mathias Lécuyer; Riley Spahn; Roxana Geambasu; Tzu-Kuo Huang; Siddhartha Sen 001 (IEEE Secur. Priv., 2018)

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. - Henggang Cui; Vladan Radosavljevic; Fang-Chieh Chou; Tsung-Han Lin; Thi Nguyen; Tzu-Kuo Huang; Jeff Schneider; Nemanja Djuric (ICRA, 2019)

Active Learning for Cost-Sensitive Classification. - Akshay Krishnamurthy; Alekh Agarwal; Tzu-Kuo Huang; Hal Daumé III; John Langford 001 (J. Mach. Learn. Res., 2019)

Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps. - Sai Yalamanchi; Tzu-Kuo Huang; Galen Clark Haynes; Nemanja Djuric (ITSC, 2020)

Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. - Fang-Chieh Chou; Tsung-Han Lin; Henggang Cui; Vladan Radosavljevic; Thi Nguyen; Tzu-Kuo Huang; Matthew Niedoba; Jeff Schneider; Nemanja Djuric (IV, 2020)

SmartChoices: Augmenting Software with Learned Implementations. - Daniel Golovin; Gábor Bartók; Eric Chen; Emily Donahue; Tzu-Kuo Huang; Efi Kokiopoulou; Ruoyan Qin; Nikhil Sarda; Justin Sybrandt; Vincent Tjeng (CoRR, 2023)

The Vizier Gaussian Process Bandit Algorithm. - Xingyou Song; Qiuyi Zhang 001; Chansoo Lee; Emily Fertig; Tzu-Kuo Huang; Lior Belenki; Greg Kochanski; Setareh Ariafar; Srinivas Vasudevan; Sagi Perel; Daniel Golovin (CoRR, 2024)