Is there a regularized variant of the Sherman-Morrison formula?

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Wikipedia has a good article on it so I won't bother rehashing it. I am trying to use it to do iterative updates of a precision matrix for a NN and it cannot go far without blowing up. This is a pity as the natural gradient method I am trying to adapt it for would be a lot more efficient if it worked.



For such tasks it should be better to do an update like $(A + u v^T + epsilon I)^-1$ where $epsilon$ is a very small constant. If it were possible, it would solve a lot of my problems. But since at the same time it is also so obvious and the fact that I cannot find anything on it makes it highly likely that others have tried and failed at making such an update.



Has there been any successful research on this?







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    up vote
    0
    down vote

    favorite












    Wikipedia has a good article on it so I won't bother rehashing it. I am trying to use it to do iterative updates of a precision matrix for a NN and it cannot go far without blowing up. This is a pity as the natural gradient method I am trying to adapt it for would be a lot more efficient if it worked.



    For such tasks it should be better to do an update like $(A + u v^T + epsilon I)^-1$ where $epsilon$ is a very small constant. If it were possible, it would solve a lot of my problems. But since at the same time it is also so obvious and the fact that I cannot find anything on it makes it highly likely that others have tried and failed at making such an update.



    Has there been any successful research on this?







    share|cite|improve this question





















      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      Wikipedia has a good article on it so I won't bother rehashing it. I am trying to use it to do iterative updates of a precision matrix for a NN and it cannot go far without blowing up. This is a pity as the natural gradient method I am trying to adapt it for would be a lot more efficient if it worked.



      For such tasks it should be better to do an update like $(A + u v^T + epsilon I)^-1$ where $epsilon$ is a very small constant. If it were possible, it would solve a lot of my problems. But since at the same time it is also so obvious and the fact that I cannot find anything on it makes it highly likely that others have tried and failed at making such an update.



      Has there been any successful research on this?







      share|cite|improve this question











      Wikipedia has a good article on it so I won't bother rehashing it. I am trying to use it to do iterative updates of a precision matrix for a NN and it cannot go far without blowing up. This is a pity as the natural gradient method I am trying to adapt it for would be a lot more efficient if it worked.



      For such tasks it should be better to do an update like $(A + u v^T + epsilon I)^-1$ where $epsilon$ is a very small constant. If it were possible, it would solve a lot of my problems. But since at the same time it is also so obvious and the fact that I cannot find anything on it makes it highly likely that others have tried and failed at making such an update.



      Has there been any successful research on this?









      share|cite|improve this question










      share|cite|improve this question




      share|cite|improve this question









      asked Jul 23 at 11:18









      Marko Grdinic

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