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STATS 305B: Models and Algorithms for Discrete Data
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Overview
Notes
Basics of Probability and Statistics
Contingency Tables
Logistic Regression
Exponential Families
Generalized Linear Models
Sparse GLMs
Bayesian Inference
Markov Chain Monte Carlo
Bayesian GLMs
Variational Inference
Mixture Models and EM
Hidden Markov Models
Linear Gaussian Models
Variational Autoencoders
Transformers
Assignments
HW0: PyTorch Primer
HW1: Logistic Regression
HW2: Bayesian GLMs
HW3: Hidden Markov Models
HW4: Large Language Models
References
References
Index