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| | | | | yasha.solutions | |
| | | | | A loss function, also known as a cost function or objective function, is a critical component in training machine learning models, particularly in neural networks and deep learning... | |
| | | | | tiao.io | |
| | | | | One weird trick to make exact inference in Bayesian logistic regression tractable. | |
| | | | | darrenjw.wordpress.com | |
| | | | | Yesterday there was an RSS Read Paper meeting for the paper Unbiased Markov chain Monte Carlo with couplings by Pierre Jacob, John O'Leary and Yves F. Atchadé. The paper addresses the bias in MCMC estimates due to lack of convergence to equilibrium (the "burn-in" problem), and shows how it is possible to modify MCMC algorithms... | |
| | | | | dustintran.com | |
| | | Yishu Miao, Lei Yu, Phil Blunsom. Neural Variational Inference for Text Processing. arXiv preprint arXiv:1511.06038, 2015. | ||