| Mar 23, 2023 |
Major AI advances this month |
| Feb 05, 2018 |
I joined Google |
| Dec 04, 2017 |
At NIPS 2017 |
| Nov 03, 2017 |
On Pyro - Deep Probabilistic Programming on PyTorch |
| Sep 25, 2017 |
NIPS 2017 Workshop on Approximate Inference |
| 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! |
