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Tomasz Kusmierczyk

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Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
byTomasz Kusmierczyk
 
Introduction to Bayesian methods and Bayesian Neural Networks
byTomasz Kusmierczyk
 
Beyond BBB: Practical Alternatives to Posterior Approximation in Bayesian Neural Networks
byTomasz Kusmierczyk
 
Priors for BNNs
byTomasz Kusmierczyk
 
Overconfidence and subnetwork Inference for BNNs
byTomasz Kusmierczyk
 
Introduction to modern Variational Inference.
byTomasz Kusmierczyk
 
Automatic variational inference with latent categorical variables
byTomasz Kusmierczyk
 
Loss Calibrated Variational Inference
byTomasz Kusmierczyk
 
Variational inference using implicit distributions
byTomasz Kusmierczyk
 
On the Causal Effect of Digital Badges
byTomasz Kusmierczyk
 
What are the negative effects of social media?: fighting fake information
byTomasz Kusmierczyk
 
Sampling and Markov Chain Monte Carlo Techniques
byTomasz Kusmierczyk
 
Probabilistic Models in Recommender Systems: Time Variant Models
byTomasz Kusmierczyk
 
Mining Correlations on Massive Bursty Time Series Collection (DASFAA2015)
byTomasz Kusmierczyk