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Poster
Spectral Filtering for General Linear Dynamical Systems
Elad Hazan · Holden Lee · Karan Singh · Cyril Zhang · Yi Zhang
We give a polynomial-time algorithm for learning latent-state linear dynamical systems without system identification, and without assumptions on the spectral radius of the system's transition matrix. The algorithm extends the recently introduced technique of spectral filtering, previously applied only to systems with a symmetric transition matrix, using a novel convex relaxation to allow for the efficient identification of phases.
Author Information
Elad Hazan (Princeton University)
Holden Lee (Princeton)
Karan Singh (Princeton University)
Cyril Zhang (Princeton University)
Yi Zhang (Princeton)
Related Events (a corresponding poster, oral, or spotlight)
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2018 Oral: Spectral Filtering for General Linear Dynamical Systems »
Tue. Dec 4th 03:30 -- 03:45 PM Room Room 517 CD
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