From Classical Statistics to Modern ML: the Lessons of Deep Learning - Mikhail Belkin

From Classical Statistics to Modern ML: the Lessons of Deep Learning - Mikhail Belkin

Day 1 - M. Belkin: The puzzle of dimensionality and feature learning in modern Deep Learning and LLMПодробнее

Day 1 - M. Belkin: The puzzle of dimensionality and feature learning in modern Deep Learning and LLM

Data Science Week 2022: Prof. Mikhail Belkin - From classical statistics to modern deep learningПодробнее

Data Science Week 2022: Prof. Mikhail Belkin - From classical statistics to modern deep learning

Mikhail Belkin: From classical statistics to modern deep learningПодробнее

Mikhail Belkin: From classical statistics to modern deep learning

From Classical Statistics to Modern Deep Learning [in Russian]Подробнее

From Classical Statistics to Modern Deep Learning [in Russian]

bias-variance trade-off explained with Dr. Mikhail BelkinПодробнее

bias-variance trade-off explained with Dr. Mikhail Belkin

Day 5: Lecture - Theory of DL with Mikhail BelkinПодробнее

Day 5: Lecture - Theory of DL with Mikhail Belkin

Mikhail Belkin: "Optimization for over-parameterized systems of non-linear equations"Подробнее

Mikhail Belkin: 'Optimization for over-parameterized systems of non-linear equations'

Beyond Empirical Risk Minimization: the lessons of deep learningПодробнее

Beyond Empirical Risk Minimization: the lessons of deep learning

Reconciling modern machine learning and the bias-variance trade-offПодробнее

Reconciling modern machine learning and the bias-variance trade-off

From Classical Statistics to Modern Machine LearningПодробнее

From Classical Statistics to Modern Machine Learning

An interpolation perspective on modern machine learning - Misha BelkinПодробнее

An interpolation perspective on modern machine learning - Misha Belkin

Fit Without Fear: An Over-Fitting Perspective on Modern Deep and Shallow LearningПодробнее

Fit Without Fear: An Over-Fitting Perspective on Modern Deep and Shallow Learning

ML Basics and Kernel Methods (Tutorial) by Mikhail BelkinПодробнее

ML Basics and Kernel Methods (Tutorial) by Mikhail Belkin

The Power and Limitations of Kernel LearningПодробнее

The Power and Limitations of Kernel Learning

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