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  1. Exact sampling and cluster sampling of the Ising/Potts model using Coupled Markov Chains

    Jupyter Notebook

  2. Convergence analysis of first-order optimization methods

    Jupyter Notebook

  3. UCLA Stat 202C - Monte Carlo Methods for Optimization

    C

  4. Markov Kernel and the TV-norm, KL-divergence, and the Diaconis-Hanlon Bound

    Python

  5. Metropolis-Hastings algorithm versus Accept-Reject algorithm and an example with Logistic Regression

    Python

215 contributions in the last year

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Contribution activity

February 2020

4 contributions in private repositories Feb 6 – Feb 21

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