Tzu-Kuo Huang

31 papers A* 6A 3C 1Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
The Vizier Gaussian Process Bandit Algorithm.
CoRR
Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
2023 J jnl
SmartChoices: Augmenting Software with Learned Implementations.
CoRR
Daniel Golovin, Gábor Bartók, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng
2020 — conf
Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps.
ITSC
Sai Yalamanchi, Tzu-Kuo Huang, Galen Clark Haynes, Nemanja Djuric
2020 J jnl
Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps.
CoRR
Sai Yalamanchi, Tzu-Kuo Huang, Galen Clark Haynes, Nemanja Djuric
2020 C conf
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
IV
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2019 J jnl
Active Learning for Cost-Sensitive Classification.
J. Mach. Learn. Res.
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
2019 A* conf
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
ICRA
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2019 J jnl
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets.
CoRR
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
2018 J jnl
Enhancing Selectivity in Big Data.
IEEE Secur. Priv.
Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
2018 J jnl
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks.
CoRR
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
2017 A* conf
Active Learning for Cost-Sensitive Classification.
ICML
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
2017 J jnl
Active Learning for Cost-Sensitive Classification.
CoRR
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
2017 A* conf
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization.
IEEE Symposium on Security and Privacy
Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
2017 J jnl
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization.
CoRR
Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
2016 — conf
Active Learning with Oracle Epiphany.
NIPS
Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu
2015 A conf
Active Search and Bandits on Graphs using Sigma-Optimality.
UAI
Yifei Ma, Tzu-Kuo Huang, Jeff G. Schneider
2015 — conf
Efficient and Parsimonious Agnostic Active Learning.
NIPS
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford, Robert E. Schapire
2015 J jnl
Efficient and Parsimonious Agnostic Active Learning.
CoRR
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford, Robert E. Schapire
2014 A* conf
Active Transfer Learning under Model Shift.
ICML
Xuezhi Wang, Tzu-Kuo Huang, Jeff G. Schneider
2013 — —
Exploiting Non-Sequence Data in Dynamic Model Learning.
Tzu-Kuo Huang
2013 — conf
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition.
NIPS
Tzu-Kuo Huang, Jeff G. Schneider
2013 — conf
Spectral Learning of Hidden Markov Models from Dynamic and Static Data.
ICML (3)
Tzu-Kuo Huang, Jeff G. Schneider
2012 — conf
Learning Bi-clustered Vector Autoregressive Models.
ECML/PKDD (2)
Tzu-Kuo Huang, Jeff G. Schneider
2011 — conf
Learning Auto-regressive Models from Sequence and Non-sequence Data.
NIPS
Tzu-Kuo Huang, Jeff G. Schneider
2010 A conf
Learning Nonlinear Dynamic Models from Non-sequenced Data.
AISTATS
Tzu-Kuo Huang, Le Song, Jeff G. Schneider
2010 A conf
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization.
SDM
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell
2009 A* conf
Learning linear dynamical systems without sequence information.
ICML
Tzu-Kuo Huang, Jeff G. Schneider
2006 J jnl
Generalized Bradley-Terry Models and Multi-Class Probability Estimates.
J. Mach. Learn. Res.
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
2006 A* conf
Ranking individuals by group comparisons.
ICML
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
2004 — conf
A Generalized Bradley-Terry Model: From Group Competition to Individual Skill.
NIPS
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
2004 — conf
Sequence Recognition with Scanning N-Tuple Ensembles.
ICPR (3)
Simon M. Lucas, Tzu-Kuo Huang