Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares. - Jo-Anne Ting; Aaron D'Souza; Kenji Yamamoto; Toshinori Yoshioka; Donna L. Hoffman; Lauren Sergio; Shinji Kakei; John Kalaska; Mitsuo Kawato; Peter Strick; Stefan Schaal (NIPS, 2005)

Bayesian regression with input noise for high dimensional data. - Jo-Anne Ting; Aaron D'Souza; Stefan Schaal (ICML, 2006)

A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. - Jo-Anne Ting; Michael N. Mistry; Jan Peters 001; Stefan Schaal; Jun Nakanishi (Robotics: Science and Systems, 2006)

Learning an Outlier-Robust Kalman Filter. - Jo-Anne Ting; Evangelos A. Theodorou; Stefan Schaal (ECML, 2007)

Automatic Outlier Detection: A Bayesian Approach. - Jo-Anne Ting; Aaron D'Souza; Stefan Schaal (ICRA, 2007)

A Kalman filter for robust outlier detection. - Jo-Anne Ting; Evangelos A. Theodorou; Stefan Schaal (IROS, 2007)

A Bayesian approach to empirical local linearization for robotics. - Jo-Anne Ting; Aaron D'Souza; Sethu Vijayakumar; Stefan Schaal (ICRA, 2008)

Bayesian Kernel Shaping for Learning Control. - Jo-Anne Ting; Mrinal Kalakrishnan; Sethu Vijayakumar; Stefan Schaal (NIPS, 2008)

Variational Bayesian least squares: An application to brain-machine interface data. - Jo-Anne Ting; Aaron D'Souza; Kenji Yamamoto; Toshinori Yoshioka; Donna L. Hoffman; Shinji Kakei; Lauren Sergio; John Kalaska; Mitsuo Kawato; Peter Strick; Stefan Schaal (Neural Networks, 2008)

Active estimation of object dynamics parameters with tactile sensors. - Hannes P. Saal; Jo-Anne Ting; Sethu Vijayakumar (IROS, 2010)

Active Sequential Learning with Tactile Feedback. - Hannes P. Saal; Jo-Anne Ting; Sethu Vijayakumar (AISTATS, 2010)

Efficient Learning and Feature Selection in High-Dimensional Regression. - Jo-Anne Ting; Aaron D'Souza; Sethu Vijayakumar; Stefan Schaal (Neural Comput., 2010)

Locally Weighted Regression for Control. - Jo-Anne Ting; Sethu Vijayakumar; Stefan Schaal (Encyclopedia of Machine Learning, 2010)

Identifying players in broadcast sports videos using conditional random fields. - Wei-Lwun Lu; Jo-Anne Ting; Kevin P. Murphy; James J. Little (CVPR, 2011)

Learning attentional policies for tracking and recognition in video with deep networks. - Loris Bazzani; Nando de Freitas; Hugo Larochelle; Vittorio Murino; Jo-Anne Ting (ICML, 2011)

Bayesian robot system identification with input and output noise. - Jo-Anne Ting; Aaron D'Souza; Stefan Schaal (Neural Networks, 2011)

Learning to Track and Identify Players from Broadcast Sports Videos. - Wei-Lwun Lu; Jo-Anne Ting; James J. Little; Kevin P. Murphy (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Locally Weighted Regression for Control. - Jo-Anne Ting; Franziska Meier; Sethu Vijayakumar; Stefan Schaal (Encyclopedia of Machine Learning and Data Mining, 2017)