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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Recsys 2016: Modeling Contextual Information in Session-Aware Recommender Systems with Neural Networks (Bartłomiej Twardowski)

Bartlomiej Twardowski • Hace 7 años

Tomasz Kusmierczyk

Presentaciones

Mining Correlations on Massive Bursty Time Series Collection (DASFAA2015)

Probabilistic Models in Recommender Systems: Time Variant Models

Sampling and Markov Chain Monte Carlo Techniques

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

On the Causal Effect of Digital Badges

Variational inference using implicit distributions

Loss Calibrated Variational Inference

Automatic variational inference with latent categorical variables

Introduction to modern Variational Inference.

Overconfidence and subnetwork Inference for BNNs

Priors for BNNs

Recomendaciones

Recsys 2016: Modeling Contextual Information in Session-Aware Recommender Systems with Neural Networks (Bartłomiej Twardowski)