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.

Google Publications

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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)

Previous Publications

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    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)

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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)

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    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)

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    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)

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    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)

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    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)

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    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)

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    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)

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    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)