Learning Overcomplete HMMs

Vatsal Sharan, Sham M. Kakade, Percy S. Liang, Gregory Valiant

Nov-21-2025, 10:27:59 GMT–Neural Information Processing Systems

We study the problem of learning overcomplete HMMs--those that have many hidden states but a small output alphabet.

artificial intelligence, machine learning, matrix, (16 more...)

Neural Information Processing Systems

Nov-21-2025, 10:27:59 GMT

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Country:
- North America > United States
  - California > Santa Clara County > Palo Alto (0.04)
- Asia
  - Middle East > Jordan (0.04)
  - Afghanistan > Parwan Province
    - Charikar (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Representation & Reasoning (1.00)
  - Machine Learning > Learning Graphical Models
    - Undirected Networks > Markov Models (0.97)

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