THESIS
PREPRINTS
Conference Publications
Other Publications
THESIS PROPOSAL
Code
Thesis
Learning Latent Variable and Predictive Models
of Dynamical Systems
Sajid M. Siddiqi
Robotics Institute, School of Computer Science
Carnegie Mellon University, 2009
[pdf]
Preprints
Closing the Learning-Planning Loop with
Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ArXiv Technical Report arXiv:0912.2385, 2009
[pdf]
Reduced-Rank Hidden Markov Models
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ArXiv Technical Report arXiv:0910.0902, 2009
[pdf]
Conference Publications:
Reduced-Rank Hidden Markov Models
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), 2010
[pdf] [talk]
Closing the Learning-Planning Loop with
Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Robotics Science and Systems Conference (RSS), 2010
[pdf]
Hilbert Space Embeddings of Hidden Markov Models
(Best Paper Award)
Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon,
Alex Smola
Proceedings of the 27th International Conference on Machine Learning (ICML), 2010
[pdf]
Closing the Learning-Planning Loop with
Predictive State Representations (extended abstract)
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2010
[pdf]
Automatic State Discovery for
Unstructured Audio Scene Classification
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010
[pdf]
A Constraint Generation Approach to Learning
Stable Linear Dynamical Systems
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
Advances in Neural Information Processing Systems (NIPS) 20, 2008
[pdf] [talK] [posteR] [Code,Data,Videos]
Fast State Discovery for HMM Model Selection and Learning
Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore
Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007
[PDF] [Talk] [CODE] [Videos]
A Latent Space Approach to Dynamic Embedding of
Co-occurrence Data
Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007
[PDF] [POSTER]
Fast Inference and Learning for Large State Space HMMs
Sajid M. Siddiqi, Andrew W. Moore
Proceedings of the 22nd International Conference on Machine Learning (ICML), 2005
[PDF] [talk]
An Experimental Study of Localization Using Wireless Ethernet
Andrew Howard, Sajid M. Siddiqi, Gaurav S. Sukhatme
Proceedings of the International Conference on Field and Service Robotics (FSR), 2003
[PDF]
Experiments in Monte-Carlo Localization using WiFi
Signal Strength
Sajid M. Siddiqi, Andrew Howard, Gaurav S. Sukhatme
Proceedings of the 11th International Conference on Advanced Robotics (ICAR), 2003
[PDF]
Other Publications:
Closing the Learning-Planning Loop with
Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Workshop on Probabilistic Approaches for Robotics and Control at NIPS 2009
[ABSTRACT] [POSTER]
A Constraint Generation Approach to Learning
Stable Linear Dynamical Systems
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
CMU Technical Report CMU-ML-08-101, 2008
[pdf]
Learning Stable Multivariate Baseline Models
for Outbreak Detection
Sajid Siddiqi, Byron Boots, Geoffrey Gordon, Artur Dubrawski
Advances in Disease Surveillance, 2007
[pdf] [talK]
Approximate Kalman Filters for Embedding
Author-Word Co-occurrence Data over Time
Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Workshop on Statistical Network Analysis: Models, Issues and New Directions at ICML 2006
[PDF]
Sequence Selection for Active Learning
Brigham Anderson, Sajid M. Siddiqi, Andrew W. Moore
CMU Technical report CMU-RI-06-16, 2006
[pdf]
Thesis Proposal:
Latent Variable and Predictive Models of Dynamical Systems
[pdf]
Code:
- Matlab code, data and cool videos for learning stable Linear Dynamical System (LDS) models from data (NIPS 07): here
- Initial version of fast, robust C code for learning multivariate Gaussian HMMs from data using EM as well as STACS, an effective model selection + learning algorithm (AISTATS 07): HERE (binaries and scripts for Linux)
PREPRINTS
Conference Publications
Other Publications
THESIS PROPOSAL
Code
Thesis
Learning Latent Variable and Predictive Models
of Dynamical Systems
Sajid M. Siddiqi
Robotics Institute, School of Computer Science
Carnegie Mellon University, 2009
[pdf]
Preprints
Closing the Learning-Planning Loop with
Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
ArXiv Technical Report arXiv:0912.2385, 2009
[pdf]
Reduced-Rank Hidden Markov Models
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ArXiv Technical Report arXiv:0910.0902, 2009
[pdf]
Conference Publications:
Reduced-Rank Hidden Markov Models
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), 2010
[pdf] [talk]
Closing the Learning-Planning Loop with
Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Robotics Science and Systems Conference (RSS), 2010
[pdf]
Hilbert Space Embeddings of Hidden Markov Models
(Best Paper Award)
Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon,
Alex Smola
Proceedings of the 27th International Conference on Machine Learning (ICML), 2010
[pdf]
Closing the Learning-Planning Loop with
Predictive State Representations (extended abstract)
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Seventh International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2010
[pdf]
Automatic State Discovery for
Unstructured Audio Scene Classification
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2010
[pdf]
A Constraint Generation Approach to Learning
Stable Linear Dynamical Systems
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
Advances in Neural Information Processing Systems (NIPS) 20, 2008
[pdf] [talK] [posteR] [Code,Data,Videos]
Fast State Discovery for HMM Model Selection and Learning
Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore
Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007
[PDF] [Talk] [CODE] [Videos]
A Latent Space Approach to Dynamic Embedding of
Co-occurrence Data
Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007
[PDF] [POSTER]
Fast Inference and Learning for Large State Space HMMs
Sajid M. Siddiqi, Andrew W. Moore
Proceedings of the 22nd International Conference on Machine Learning (ICML), 2005
[PDF] [talk]
An Experimental Study of Localization Using Wireless Ethernet
Andrew Howard, Sajid M. Siddiqi, Gaurav S. Sukhatme
Proceedings of the International Conference on Field and Service Robotics (FSR), 2003
[PDF]
Experiments in Monte-Carlo Localization using WiFi
Signal Strength
Sajid M. Siddiqi, Andrew Howard, Gaurav S. Sukhatme
Proceedings of the 11th International Conference on Advanced Robotics (ICAR), 2003
[PDF]
Other Publications:
Closing the Learning-Planning Loop with
Predictive State Representations
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Workshop on Probabilistic Approaches for Robotics and Control at NIPS 2009
[ABSTRACT] [POSTER]
A Constraint Generation Approach to Learning
Stable Linear Dynamical Systems
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
CMU Technical Report CMU-ML-08-101, 2008
[pdf]
Learning Stable Multivariate Baseline Models
for Outbreak Detection
Sajid Siddiqi, Byron Boots, Geoffrey Gordon, Artur Dubrawski
Advances in Disease Surveillance, 2007
[pdf] [talK]
Approximate Kalman Filters for Embedding
Author-Word Co-occurrence Data over Time
Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon
Proceedings of the Workshop on Statistical Network Analysis: Models, Issues and New Directions at ICML 2006
[PDF]
Sequence Selection for Active Learning
Brigham Anderson, Sajid M. Siddiqi, Andrew W. Moore
CMU Technical report CMU-RI-06-16, 2006
[pdf]
Thesis Proposal:
Latent Variable and Predictive Models of Dynamical Systems
[pdf]
Code:
- Matlab code, data and cool videos for learning stable Linear Dynamical System (LDS) models from data (NIPS 07): here
- Initial version of fast, robust C code for learning multivariate Gaussian HMMs from data using EM as well as STACS, an effective model selection + learning algorithm (AISTATS 07): HERE (binaries and scripts for Linux)