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#stochastically — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #stochastically, aggregated by home.social.

  1. 'The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise', by Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang.

    jmlr.org/papers/v26/24-0100.ht

    #stochastic #stochastically #martingale

  2. 'The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise', by Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang.

    jmlr.org/papers/v26/24-0100.ht

    #stochastic #stochastically #martingale

  3. 'The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise', by Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang.

    jmlr.org/papers/v26/24-0100.ht

    #stochastic #stochastically #martingale

  4. 'The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise', by Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang.

    jmlr.org/papers/v26/24-0100.ht

    #stochastic #stochastically #martingale

  5. 'The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise', by Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang.

    jmlr.org/papers/v26/24-0100.ht

    #stochastic #stochastically #martingale

  6. 'Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance', by Jordan Awan, Aishwarya Ramasethu.

    jmlr.org/papers/v25/23-1624.ht

    #privacy #stochastically #stochastic

  7. 'Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance', by Jordan Awan, Aishwarya Ramasethu.

    jmlr.org/papers/v25/23-1624.ht

    #privacy #stochastically #stochastic

  8. 'Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance', by Jordan Awan, Aishwarya Ramasethu.

    jmlr.org/papers/v25/23-1624.ht

    #privacy #stochastically #stochastic

  9. 'Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance', by Jordan Awan, Aishwarya Ramasethu.

    jmlr.org/papers/v25/23-1624.ht

    #privacy #stochastically #stochastic

  10. 'Optimizing Noise for f-Differential Privacy via Anti-Concentration and Stochastic Dominance', by Jordan Awan, Aishwarya Ramasethu.

    jmlr.org/papers/v25/23-1624.ht

    #privacy #stochastically #stochastic

  11. Expected Worst Case Regret via Stochastic Sequential Covering

    Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

    Action editor: Shinichi Nakajima.

    openreview.net/forum?id=H1Seky

    #stochastically #stochastic #regret

  12. Expected Worst Case Regret via Stochastic Sequential Covering

    Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

    Action editor: Shinichi Nakajima.

    openreview.net/forum?id=H1Seky

    #stochastically #stochastic #regret

  13. Expected Worst Case Regret via Stochastic Sequential Covering

    Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

    Action editor: Shinichi Nakajima.

    openreview.net/forum?id=H1Seky

    #stochastically #stochastic #regret

  14. Expected Worst Case Regret via Stochastic Sequential Covering

    Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

    Action editor: Shinichi Nakajima.

    openreview.net/forum?id=H1Seky

    #stochastically #stochastic #regret

  15. Expected Worst Case Regret via Stochastic Sequential Covering

    Changlong Wu, Mohsen Heidari, Ananth Grama, Wojciech Szpankowski

    Action editor: Shinichi Nakajima.

    openreview.net/forum?id=H1Seky

    #stochastically #stochastic #regret