Lipschitz constant of L2 reg. logistic regression $sum_i log left(1 + expleft{ -t_i left(w^T x_iright)right}...

Ambiguity in the definition of entropy

Can a virus destroy the BIOS of a modern computer?

Why were 5.25" floppy drives cheaper than 8"?

Car headlights in a world without electricity

Implication of namely

Finding the reason behind the value of the integral.

What is required to make GPS signals available indoors?

Notepad++ delete until colon for every line with replace all

How does a dynamic QR code work?

Do Iron Man suits sport waste management systems?

How can I deal with my CEO asking me to hire someone with a higher salary than me, a co-founder?

Send out email when Apex Queueable fails and test it

Where would I need my direct neural interface to be implanted?

Can someone clarify Hamming's notion of important problems in relation to modern academia?

Can I hook these wires up to find the connection to a dead outlet?

How to find if SQL server backup is encrypted with TDE without restoring the backup

GFCI outlets - can they be repaired? Are they really needed at the end of a circuit?

How exploitable/balanced is this homebrew spell: Spell Permanency?

Is it a bad idea to plug the other end of ESD strap to wall ground?

What is the most common color to indicate the input-field is disabled?

What does the same-ish mean?

Does int main() need a declaration on C++?

Rotate ASCII Art by 45 Degrees

Does the Idaho Potato Commission associate potato skins with healthy eating?



Lipschitz constant of L2 reg. logistic regression $sum_i log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2$


Any example of strongly convex functions whose gradients are Lipschitz continuous in $mathbb{R}^N$Non-trivial lower bound approximation of a convex function using the second derivative at the minimumTaking the limit $lim_{prightarrow infty} left( frac{|f|_infty}{|f|_p}right)^p$Sufficient condition for self-concordance?Derivative of a distance functionBest constant for Lipschitz continuous gradient functionIs logistic loss function L-smooth?Proving convexity of the negative log complementary probability: $-logleft(1 - frac{exp(x_i)}{ sum_j exp(x_j)}right)$Composition with Lipschitz map is Lipschitz on Sobolev spacesHow to show negative entropy function $f(x)=sum_{i=1}^nx_ilog(x_i)$ is strongly convex?













2












$begingroup$


Let the L2 regularized logistic regression function is given by,
begin{align}
f(w) &= frac{1}{N} sum_i log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2 = frac{1}{N} sum_i f_i(w),
end{align}

where $t_i in mathbb{R}$, $w, x_i in mathbb{R}^n$, $mu in mathbb{R}$, and $f_i(w) := log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2$ .



Questions:




  • How would/could I find the (small) Lipschitz constant $M$ and $nu$-strongly parameter of $f(w)$?

  • How can I find the (small) Lipschitz constant $L$ of $nabla f(w)$ and $L_i$ of $nabla f_i(w)$?




I am sorry if this question has already been asked or it is trivial to compute (analytically?).










share|cite|improve this question











$endgroup$

















    2












    $begingroup$


    Let the L2 regularized logistic regression function is given by,
    begin{align}
    f(w) &= frac{1}{N} sum_i log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2 = frac{1}{N} sum_i f_i(w),
    end{align}

    where $t_i in mathbb{R}$, $w, x_i in mathbb{R}^n$, $mu in mathbb{R}$, and $f_i(w) := log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2$ .



    Questions:




    • How would/could I find the (small) Lipschitz constant $M$ and $nu$-strongly parameter of $f(w)$?

    • How can I find the (small) Lipschitz constant $L$ of $nabla f(w)$ and $L_i$ of $nabla f_i(w)$?




    I am sorry if this question has already been asked or it is trivial to compute (analytically?).










    share|cite|improve this question











    $endgroup$















      2












      2








      2





      $begingroup$


      Let the L2 regularized logistic regression function is given by,
      begin{align}
      f(w) &= frac{1}{N} sum_i log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2 = frac{1}{N} sum_i f_i(w),
      end{align}

      where $t_i in mathbb{R}$, $w, x_i in mathbb{R}^n$, $mu in mathbb{R}$, and $f_i(w) := log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2$ .



      Questions:




      • How would/could I find the (small) Lipschitz constant $M$ and $nu$-strongly parameter of $f(w)$?

      • How can I find the (small) Lipschitz constant $L$ of $nabla f(w)$ and $L_i$ of $nabla f_i(w)$?




      I am sorry if this question has already been asked or it is trivial to compute (analytically?).










      share|cite|improve this question











      $endgroup$




      Let the L2 regularized logistic regression function is given by,
      begin{align}
      f(w) &= frac{1}{N} sum_i log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2 = frac{1}{N} sum_i f_i(w),
      end{align}

      where $t_i in mathbb{R}$, $w, x_i in mathbb{R}^n$, $mu in mathbb{R}$, and $f_i(w) := log left(1 + expleft{ -t_i left(w^T x_iright)right} right) + mu |w |_2^2$ .



      Questions:




      • How would/could I find the (small) Lipschitz constant $M$ and $nu$-strongly parameter of $f(w)$?

      • How can I find the (small) Lipschitz constant $L$ of $nabla f(w)$ and $L_i$ of $nabla f_i(w)$?




      I am sorry if this question has already been asked or it is trivial to compute (analytically?).







      real-analysis functional-analysis convex-analysis lipschitz-functions






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Feb 11 at 21:10







      user550103

















      asked Feb 11 at 11:22









      user550103user550103

      7931315




      7931315






















          0






          active

          oldest

          votes












          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "69"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3108605%2flipschitz-constant-of-l2-reg-logistic-regression-sum-i-log-left1-exp-le%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          0






          active

          oldest

          votes








          0






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Mathematics Stack Exchange!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          Use MathJax to format equations. MathJax reference.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f3108605%2flipschitz-constant-of-l2-reg-logistic-regression-sum-i-log-left1-exp-le%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          Nidaros erkebispedøme

          Birsay

          Was Woodrow Wilson really a Liberal?Was World War I a war of liberals against authoritarians?Founding Fathers...