Aug 31, 2017 |
How much compute do we need to train generative models? |

Aug 07, 2017 |
My Qualifying Exam (Oral) |

Jun 03, 2017 |
A Research to Engineering Workflow |

Jun 02, 2017 |
ICML 2017 Workshop on Implicit Models |

Feb 28, 2017 |
Deep and Hierarchical Implicit Models |

Jan 24, 2017 |
Video resources for machine learning (an update) |

Dec 13, 2016 |
On Model Mismatch and Bayesian Analysis |

Oct 30, 2016 |
Two papers released on arXiv, "Operator Variational Inference" and "Model Criticism for Bayesian Causal Inference" |

Sep 30, 2016 |
NIPS 2016 Workshop on Approximate Inference |

Sep 19, 2016 |
Discussion of "Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing" |

Aug 11, 2016 |
Blog has migrated from Ghost to Jekyll |

Jul 21, 2016 |
Inference networks |

Jul 03, 2016 |
On Bayesian and frequentist, latent variables and parameters |

Jun 23, 2016 |
Variational auto-encoders do not train complex generative models |

May 30, 2016 |
A quick update: Edward, and some motivations |

Jan 03, 2016 |
Video resources for machine learning |

Dec 06, 2015 |
Stochastic Expectation Propagation |

Dec 04, 2015 |
At NIPS 2015 |

Dec 01, 2015 |
Denoising Criterion for Variational Auto-Encoding Framework |

Nov 29, 2015 |
Recurrent Gaussian Processes |

Nov 29, 2015 |
Adversarial autoencoders |

Nov 28, 2015 |
Infinite Dimensional Word Embeddings |

Nov 28, 2015 |
Neural Variational Inference for Text Processing |

Nov 28, 2015 |
MuProp: Unbiased Backpropagation for Stochastic Neural Networks |

Oct 12, 2015 |
NIPS workshop on Approximate Inference: submit your papers! |

Sep 05, 2015 |
NIPS accepted papers are out |

Sep 05, 2015 |
Importance weighted autoencoders |

Aug 24, 2015 |
Random features and kernel functions |

Aug 06, 2015 |
Survival analysis, counting processes, and Cox models |

Jul 15, 2015 |
Trends and Highlights of ICML 2015 |

Jul 07, 2015 |
Comments on Mark Schmidt's ICML tutorial for convex optimization |

Apr 27, 2015 |
On parameterization and natural gradients in optimization |

Apr 11, 2015 |
On the paradigms of AI |

Mar 10, 2015 |
The generalized method of moments (GMMs), Part I: Introduction |

Feb 20, 2015 |
Expectation Conditional Maximization (ECM) and other variants of EM |

Feb 19, 2015 |
Lecture notes for Reinforcement learning (CS 282r) |

Nov 28, 2014 |
On asymptotic convergence of averaged SGD |

Oct 25, 2014 |
Comparing elastic net to stochastic gradient descent for GLMs |

Oct 05, 2014 |
On power law distributions, neuroscience, and bad speakers |

Sep 20, 2014 |
Clustering with Voronoi diagrams |

Sep 16, 2014 |
Using social media to predict outbreaks of communicable diseases |

Aug 31, 2014 |
Welcome Week at Harvard |

Aug 06, 2014 |
Displaying full page previews on Ghost |

Jul 28, 2014 |
Hello world! |