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Sajid M. Siddiqi

Sajid M. Siddiqi

I am a software engineer at Google Pittsburgh where I work on models that predict clickthrough rates for ads. I completed my PhD in Robotics at Carnegie Mellon in 2009, where I worked with Geoff Gordon. My thesis focused on statistical machine learning methods for efficiently modeling high-dimensional temporal data for prediction and classification in mobile robotics, computer vision, signal processing and other areas.

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    Hilbert Space Embeddings of Hidden Markov Models
    Le Song
    Byron Boots
    Sajid Siddiqi
    Geoffrey J. Gordon
    Alex Smola
    Proceedings of the International Conference on Machine Learning (ICML) (2010)
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    Reduced-Rank Hidden Markov Models
    Sajid M. Siddiqi
    Byron Boots
    Geoffrey J. Gordon
    In Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) (2010)
    Automatic State Discovery for Unstructured Audio Scene Classification
    Julian Ramos
    Sajid Siddiqi
    Artur Dubrawski
    Geoffrey J. Gordon
    Abhishek Sharma
    Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2010)
    A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
    Sajid Siddiqi
    Byron Boots
    Geoffrey J. Gordon
    Advances in Neural Information Processing Systems (NIPS) (2008)
    Fast State Discovery for HMM Model Selection and Learning
    Sajid Siddiqi
    Geoffrey J. Gordon
    Andrew Moore
    Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) (2007)
    A Latent Space Approach to Dynamic Embedding of Co-occurrence Data
    Purnamrita Sarkar
    Sajid Siddiqi
    Geoffrey J. Gordon
    Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) (2007)
    Machine Learning for Adaptive Power Management
    Georgios Theocharous
    Shie Mannor
    Nilesh Shah
    Prashant Gandhi
    Branislav Kveton
    Sajid Siddiqi
    Chih-Han Yu
    Intel Technology Journal, vol. 10(4) (2006)
    Fast Inference and Learning in Large-State-Space HMMs
    Sajid M. Siddiqi
    Andrew W. Moore
    Proceedings of the International Conference on Machine Learning (ICML) (2005)
    An Experimental Study of Localization using Wireless Ethernet
    Andrew Howard
    Sajid M. Siddiqi
    Gaurav Sukhatme
    Proceedings of the International Conference on Field and Service Robotics (FSR) (2003)
    Experiments in Monte-Carlo Localization using WiFi Signal Strength
    Sajid M. Siddiqi
    Gaurav Sukhatme
    Andrew Howard
    Proceedings of the International Conference on Advanced Robotics (ICAR) (2003)
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