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Picture for Anoop Korattikara

Anoop Korattikara

UC Irvine

Measuring the Reliability of Reinforcement Learning Algorithms


Dec 10, 2019
Stephanie C. Y. Chan, Sam Fishman, John Canny, Anoop Korattikara, Sergio Guadarrama

* Accepted at the Workshop on Deep Reinforcement Learning at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following


Feb 20, 2019
Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama


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Speed/accuracy trade-offs for modern convolutional object detectors


Apr 25, 2017
Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy

* Accepted to CVPR 2017 

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Bayesian Dark Knowledge


Nov 06, 2015
Anoop Korattikara, Vivek Rathod, Kevin Murphy, Max Welling

* final version submitted to NIPS 2015 

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Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC


Mar 10, 2015
Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling


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Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget


Feb 14, 2014
Anoop Korattikara, Yutian Chen, Max Welling

* v4 - version accepted by ICML2014 

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Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring


Jun 27, 2012
Sungjin Ahn, Anoop Korattikara, Max Welling

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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