What cannot be learned with Bethe Approximations
Statistical Learning Theory and Applications
Gaussian Variances and Large Scale Bayesian Inference
Poster Spotlights 2
Statistical Challenges in Computational Advertising
Approximate system identification: Misfit versus latency
Generative Models I
On the Quantitative Analysis of Deep Belief Networks
Sequential Monte Carlo methods
Priors over Recurrent Continuous Time Processes