Anoop Korattikara
- Research Area(s)
- Machine Intelligence
- Machine Perception
- Algorithms and Theory
Co-Authors
Google Publications
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Anoop Korattikara, Vivek Rathod, Kevin Murphy, Max Welling
Advances in Neural Information Processing Systems (2015)
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Im2Calories: towards an automated mobile vision food diary
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
ICCV (2015)
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
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)


