Site Search  

Main » Jo-Anne Ting

  

Bio:
Jo-Anne Ting graduated from the University of Waterloo, Canada in June 2003 with a Bachelor of Applied Sciences in Computer Engineering, Honors Co-op. She joined Stefan Schaal's Computational Learning and Motor Control Lab in the fall of 2003. In May 2005, she received a M.S. in Computer Science from the University of Southern California. She successfully defended her Phd on December 3, 2008.

Her research interests include topics in statistical and machine learning. She is particularly interested in developing fast robust automatic Bayesian methods for real-time learning on high-dimensional systems.

News:

  • My updated contact info can be found here.

Links:


Publications:

2008:

  • Ting, J., Kalakrishnan, M., Vijayakumar, S., Schaal, S. Bayesian Kernel Shaping for Learning Control, Advances in Neural Information Processing Systems (NIPS 2008).
    [Details] [PDF]
  • Ting, J., D'Souza, A., Yamamoto, K., Yoshioka, T., Hoffman, D., Kakei, S., Sergio, L., Kalaska, J., Kawato, M., Strick, P., Schaal, S. Variational Bayesian least squares: An application to brain-machine interface data, Neural Networks: Special Issue on Neuroinformatics, 21(8), 1112-1131.
    [Details] [PDF]
  • Ting, J., D'Souza, A., Vijayakumar, S., Schaal, S. A Bayesian Approach to Empirical Local Linearization for Robotics, International Conference on Robotics and Automation (ICRA 2008), Pasadena, CA.
    [Details] [PDF]
(Updated paper: 3/20/2008. Notation typo for weights on page 4 corrected.)
  • Ting, J., Schaal, S. Local Kernel Shaping for Function Approximation, Learning Workshop, Snowbird, April 2008, Poster.

2007:

  • Ting, J., Schaal, S. Bayesian Nonparametric Regression with Local Models, Robotic Challenges for Machine Learning, NIPS 2007 Workshop, Poster.
  • Ting, J., D'Souza, A., Yamamoto, K., Yoshioka, T., Hoffman, D., Kakei, S., Sergio, L., Kalaska, J., Kawato, M., Strick, P., Schaal, S. Using variational Bayesian least squares for EMG data prediction from M1 and premotor cortex neural firing, Abstracts of the 37th Meeting of the Society of Neuroscience (SFN 2007), San Diego, CA.
    [Details] [Poster]
  • Ting, J., Theodorou, E., Schaal, S. Learning an Outlier-Robust Kalman Filter, European Conference on Machine Learning (ECML 2007), Warsaw, Poland.
    [Details] [PDF] [Technical Report] (Please refer to the technical report for a more comprehensive version.)
  • Ting, J., D'Souza, A., Schaal, S. Automatic Outlier Detection: A Bayesian Approach, International Conference on Robotics and Automation (ICRA 2007), Rome, Italy.
    [Details] [PDF] [Slides]
(Updated paper: 1/11/2008. Typo in Eqn 7 corrected in paper & slides.)
  • Ting, J., Theodorou, E., Schaal, S. A Kalman filter for robust outlier detection, IEEE International Conference on Intelligent Robotics Systems (IROS 2007), San Diego, CA.
    [Details] [PDF] [Slides]

2006:

  • Ting, J., D'Souza, A., Schaal, S. Bayesian Regression with Input Noise for High Dimensional Data, International Conference on Machine Learning (ICML 2006), Pittsburgh, PA.
    [Details] [PDF] [Slides]
(Updated paper: 8/3/2006. Please refer to RSS 2006 paper for how to apply to nonlinear parameter identification in robot dynamics)
  • Ting, J., Mistry, M., Peters, J., Schaal, S.; Nakanishi. A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics, Robotics: Science and Systems (RSS 2006), Philadelphia, PA.
    [Details] [PDF]

2005:

  • Ting, J., D'Souza, A., Yamamoto, K., Yoshioka, T., Hoffman, D., Kakei, S., Sergio, L., Kalaska, J., Kawato, M., Strick, P., Schaal, S. Predicting EMG Data from M1 Neurons with Variational Bayesian Least Squares, in: Weiss, Y.; Schölkopf, B.; Platt, J. (eds.), Advances in Neural Information Processing Systems 18 (NIPS 2005), Cambridge, MA: MIT Press.
    [Details] [PDF]

2004:

  • Ting, J., D'Souza, A., Schaal, S. Predicting EMG Activity from Neural Firing in M1 with Bayesian Backfitting, Proceedings of the 11th Joint Symposium of Neural Computation (JSNC 2004).
    [Details] [Poster]

Talks:


Software:

Designed by: Nerses Ohanyan & Jan Peters
Page last modified on January 29, 2012, at 04:42 PM