Anoop Korattikara
Anoop Korattikara
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Speed/accuracy trade-offs for modern convolutional object detectors
J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Im2Calories: towards an automated mobile vision food diary
A Meyers, N Johnston, V Rathod, A Korattikara, A Gorban, N Silberman, ...
Proceedings of the IEEE international conference on computer vision, 1233-1241, 2015
Bayesian posterior sampling via stochastic gradient Fisher scoring
S Ahn, A Korattikara, M Welling
arXiv preprint arXiv:1206.6380, 2012
Bayesian dark knowledge
A Korattikara, V Rathod, K Murphy, M Welling
arXiv preprint arXiv:1506.04416, 2015
Austerity in MCMC land: Cutting the Metropolis-Hastings budget
A Korattikara, Y Chen, M Welling
International conference on machine learning, 181-189, 2014
TF-Agents: A library for reinforcement learning in tensorflow
S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ...
GitHub repository, 2018
From language to goals: Inverse reinforcement learning for vision-based instruction following
J Fu, A Korattikara, S Levine, S Guadarrama
arXiv preprint arXiv:1902.07742, 2019
Measuring the reliability of reinforcement learning algorithms
SCY Chan, S Fishman, J Canny, A Korattikara, S Guadarrama
arXiv preprint arXiv:1912.05663, 2019
Large-scale distributed Bayesian matrix factorization using stochastic gradient MCMC
S Ahn, A Korattikara, N Liu, S Rajan, M Welling
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ...
Speed/accuracy trade-offs for modern convolutional object detectors,” in …, 2017
Statistical optimization of non-negative matrix factorization
AK Balan, L Boyles, M Welling, J Kim, H Park
Proceedings of the Fourteenth International Conference on Artificial …, 2011
Approximate slice sampling for Bayesian posterior inference
C DuBois, A Korattikara, M Welling, P Smyth
Artificial Intelligence and Statistics, 185-193, 2014
Statistical tests for optimization efficiency
L Boyles, A Korattikara, D Ramanan, M Welling
Advances in neural information processing systems 24, 2011
G-RMI object detection
A Fathi, C Sun, I Fischer, J Huang, K Murphy, S Guadarrama, Y Song, ...
2nd ImageNet COCO Vis. Recognit. Challenges Joint Workshop, 2016
Sequential tests for large-scale learning
A Korattikara, Y Chen, M Welling
Neural Computation 28 (1), 45-70, 2015
Approximate Markov Chain Monte Carlo Algorithms for Large Scale Bayesian Inference
A Korattikara Balan
UC Irvine, 2014
Aji, SM and RJ McEliece (2000, March). The generalized distribu-tive law. IEEE Trans. Info. The-ory 46 (2), 325–343. Alag, S. and A. Agogino (1996). In
K Abend, TJ Harley, LN Kanal, D Ackley, G Hinton, T Sejnowski, ...
Science 9, 147-169, 0
Fast Metropolis-Hastings and Natural Gradient
J Canny, D Seita, A Korattikara
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