Tomasz Kusmierczyk

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machine learning bayesian methods bnn social media bayesian learning priors bayesian neural network uncertainty ml variational inference probabilistic programming decision making deep learning causality internet marketing stack overflow q&a badges fake reviews internet fake news mcmc jags gibbs sampling sampling kalman filters matrix factorization dirichlet process recommender systems innovation data analytics temporal patterns www2015 tempweb2015 food research time series data mining dasfaa2015 bursts

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Tomasz Kusmierczyk

Priors for BNNs

Overconfidence and subnetwork Inference for BNNs

Introduction to modern Variational Inference.

Automatic variational inference with latent categorical variables

Loss Calibrated Variational Inference

Variational inference using implicit distributions

On the Causal Effect of Digital Badges

What are the negative effects of social media?: fighting fake information

Sampling and Markov Chain Monte Carlo Techniques

Probabilistic Models in Recommender Systems: Time Variant Models

Mining Correlations on Massive Bursty Time Series Collection (DASFAA2015)