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ORCIDAnoop Korattikara Balan
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- affiliation: University of California, Irvine, USA
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2020 – today
- 2020
[c11]Stephanie C. Y. Chan, Samuel Fishman, Anoop Korattikara, John F. Canny, Sergio Guadarrama:
Measuring the Reliability of Reinforcement Learning Algorithms. ICLR 2020
2010 – 2019
- 2019
- [c10]Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama:
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. ICLR (Poster) 2019 - [i6]Justin Fu, Anoop Korattikara, Sergey Levine, Sergio Guadarrama:
From Language to Goals: Inverse Reinforcement Learning for Vision-Based Instruction Following. CoRR abs/1902.07742 (2019) - [i5]Stephanie C. Y. Chan, Sam Fishman, John F. Canny, Anoop Korattikara, Sergio Guadarrama:
Measuring the Reliability of Reinforcement Learning Algorithms. CoRR abs/1912.05663 (2019) - 2017
- [c9]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna
, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors. CVPR 2017: 3296-3297 - 2016
- [j1]Anoop Korattikara, Yutian Chen, Max Welling:
Sequential Tests for Large-Scale Learning. Neural Comput. 28(1): 45-70 (2016) - [i4]Jonathan Huang, Vivek Rathod, Chen Sun, Menglong Zhu, Anoop Korattikara, Alireza Fathi, Ian Fischer, Zbigniew Wojna, Yang Song, Sergio Guadarrama, Kevin Murphy:
Speed/accuracy trade-offs for modern convolutional object detectors. CoRR abs/1611.10012 (2016) - 2015
- [c8]Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy:
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV 2015: 1233-1241 - [c7]Sungjin Ahn, Anoop Korattikara, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. KDD 2015: 9-18 - [c6]Anoop Korattikara Balan, Vivek Rathod, Kevin P. Murphy, Max Welling:
Bayesian dark knowledge. NIPS 2015: 3438-3446 - [i3]Sungjin Ahn, Anoop Korattikara Balan, Nathan Liu, Suju Rajan, Max Welling:
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC. CoRR abs/1503.01596 (2015) - [i2]Anoop Korattikara Balan, Vivek Rathod, Kevin Murphy, Max Welling:
Bayesian Dark Knowledge. CoRR abs/1506.04416 (2015) - 2014
- [b1]Anoop Korattikara Balan:
Approximate Markov Chain Monte Carlo Algorithms for Large Scale Bayesian Inference. University of California, Irvine, USA, 2014 - [c5]Christopher DuBois, Anoop Korattikara Balan, Max Welling, Padhraic Smyth:
Approximate Slice Sampling for Bayesian Posterior Inference. AISTATS 2014: 185-193 - [c4]Anoop Korattikara Balan, Yutian Chen, Max Welling:
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. ICML 2014: 181-189 - 2013
- [i1]Anoop Korattikara Balan, Yutian Chen, Max Welling:
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget. CoRR abs/1304.5299 (2013) - 2012
- [c3]Sungjin Ahn, Anoop Korattikara Balan, Max Welling:
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring. ICML 2012 - 2011
- [c2]Levi Boyles, Anoop Korattikara Balan, Deva Ramanan, Max Welling:
Statistical Tests for Optimization Efficiency. NIPS 2011: 2196-2204 - [c1]Anoop Korattikara Balan, Levi Boyles, Max Welling, Jingu Kim, Haesun Park:
Statistical Optimization of Non-Negative Matrix Factorization. AISTATS 2011: 128-136
Coauthor Index
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