Anoop Korattikara

Google Publications

Previous Publications

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    Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC

    Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling

    KDD (2015)

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    Sequential Tests for Large-Scale Learning

    Anoop Korattikara, Yutian Chen, Max Welling

    Neural Computation, vol. 28 (2015)

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    Approximate Markov Chain Monte Carlo Algorithms for Large Scale Bayesian Inference

    Anoop Korattikara

    Ph.D. Thesis, University of California, Irvine (2014)

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    Approximate slice sampling for bayesian posterior inference

    Christopher DuBois, Anoop Korattikara, Max Welling, Padhraic Smyth

    AISTATS (2014)

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    Austerity in MCMC land: Cutting the Metropolis-Hastings budget

    Anoop Korattikara, Yutian Chen, Max Welling

    International Conference on Machine Learning (ICML) (2014)

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    Bayesian posterior sampling via stochastic gradient Fisher scoring

    Sungjin Ahn, Anoop Korattikara, Max Welling

    International Conference on Machine Learning (ICML) (2012)

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    Statistical optimization of non-negative matrix factorization

    Anoop Korattikara, Levi Boyles, Max Welling, Jingu Kim, Haesun Park

    AISTATS (2011)

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    Statistical tests for optimization efficiency

    Levi Boyles, Anoop Korattikara, Deva Ramanan, Max Welling

    Advances in Neural Information Processing Systems (NIPS) (2011)