Lecture

Statistical Learning Models: Risk and Empirical Risk Minimization

Related lectures (33)
Statistical Theory: Maximum Likelihood Estimation
Explores the consistency and asymptotic properties of the Maximum Likelihood Estimator, including challenges in proving its consistency and constructing MLE-like estimators.
The Stein Phenomenon and Superefficiency
Explores the Stein Phenomenon, showcasing the benefits of bias in high-dimensional statistics and the superiority of the James-Stein Estimator over the Maximum Likelihood Estimator.
Linear Regression: Statistical Inference and Regularization
Covers the probabilistic model for linear regression and the importance of regularization techniques.
Mathematics of Data: Models and Estimators
Covers the Mathematics of Data, focusing on models, estimators, and practical issues in data analysis.
Probabilistic Models for Linear Regression
Covers the probabilistic model for linear regression and its applications in nuclear magnetic resonance and X-ray imaging.
Law of Large Numbers, Statistics
Covers the Law of Large Numbers in Statistics and methods for deriving estimators and maximum likelihood.
Implicit Generative Models
Explores implicit generative models, covering topics like method of moments, kernel choice, and robustness of estimators.
Estimation Methods
Covers various methods for estimating model parameters, such as method of moments and maximum likelihood estimation.
Density of States and Bayesian Inference in Computational Mathematics
Explores computing density of states and Bayesian inference using importance sampling, showcasing lower variance and parallelizability of the proposed method.
Probability Distributions in Environmental Studies
Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.