- Learning Latent Variable and Predictive Models of Dynamical Systems
Sajid Siddiqi
doctoral dissertation, tech. report CMU-RI-TR-09-39, Robotics Institute, Carnegie Mellon University, January, 2010
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- A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Sajid Siddiqi, Byron Boots, and Geoffrey Gordon
Advances in Neural Information Processing Systems, December, 2007.
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- A Latent Space Approach to Dynamic Embedding of Co-occurrence Data
Purnamrita Sarkar, Sajid Siddiqi, and Geoffrey Gordon
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007.
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- Fast State Discovery for HMM Model Selection and Learning
Sajid Siddiqi, Geoffrey Gordon, and Andrew Moore
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AI-STATS), 2007.
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- Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time
Purnamrita Sarkar, Sajid Siddiqi, and Geoffrey Gordon
Workshop on Statistical Network Analysis at the Twenty-third International Conference on Machine Learning (ICML), 2006.
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- Fast Inference and Learning in Large-State-Space HMMs
Sajid Siddiqi and Andrew Moore
Proceedings of the 22nd International Conference on Machine Learning (ICML), August, 2005.
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