Page Index - mltheory/CS7545 GitHub Wiki
125 page(s) in this GitHub Wiki:
- Home
 - CS7545 Spring 2024 wiki
 - Note: the main course page is here
 - Lecture content
 - Some other stuff
 - Future lectures
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 - CS7545_Sp23_Lecture_01
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 - CS7545_Sp23_Lecture_02: Norms and Inequalities
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 - CS7545_Sp23_Lecture_03: Convex Analysis
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 - CS7545_Sp23_Lecture_04: Convex Analysis Continued and Statistics Review
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 - CS7545_Sp23_Lecture_05: Deviation Bounds
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 - CS7545_Sp23_Lecture_06: Intro to Statistical Learning Theory
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 - CS7545_Sp23_Lecture_07: Statistical Learning and ERM
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 - CS7545_Sp23_Lecture_08: Introduction to Rademacher Complexity
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 - CS7545_Sp23_Lecture_09: Rademacher Complexity
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 - CS7545_Sp23_Lecture_10: Rademacher Complexity Continued
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 - CS7545_Sp23_Lecture_11: Introduction to VC Dimensions
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 - CS7545_Sp23_Lecture_12
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 - CS7545_Sp23_Lecture_13: VC Dimension
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 - CS7545_Sp23_Lecture_14: Sauer Shelah Lemma
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 - CS7545_Sp23_Lecture_15: Online Learning
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 - CS7545_Sp23_Lecture_16: Online Gradient Descent
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 - CS7545_Sp23_Lecture_17: Online Gradient Descent 2
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 - CS7545_Sp23_Lecture_18: Online Exponential Optimization
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 - CS7545_Sp23_Lecture_19: Prediction with Expert Advice
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 - CS7545_Sp23_Lecture_20: Perfect Experts and Game Theory
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 - CS7545_Sp23_Lecture_21: Minimax Theorem
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 - CS7545_Sp23_Lecture_22: Online Learning for Equilibrium
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 - CS7545_Sp23_Lecture_23: Boosting for Equilibrium
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 - CS7545_Sp23_Lecture_25: Introduction to Complexity of Neural Networks
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 - CS7545_Sp23_Lecture_26: VC Dimension of Neural Networks
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 - CS7545_Sp23_Lecture_27: Generalization Bounds are Vacuous in Deep Learning
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 - CS7545_Sp23_Lecture_Scribe_Signup
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 - CS7545_Sp23_Lecture_template
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 - CS7545_Sp24_Lecture_01
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 - CS7545_Sp24_Lecture_02
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 - CS7545_Sp24_Lecture_03
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 - CS7545_Sp24_Lecture_04: Convex Analysis
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 - CS7545_Sp24_Lecture_05: Probability Basics
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 - CS7545_Sp24_Lecture_06: Binary Classification
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 - CS7545_Sp24_Lecture_07: Generalization Error Bounds
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 - CS7545_Sp24_Lecture_08: Uniform Convergence Generalization Bound
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 - CS7545_Sp24_Lecture_09: Rademacher Complexity
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 - CS7545_Sp24_Lecture_10
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 - CS7545_Sp24_Lecture_11
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 - CS7545_Sp24_Lecture_12
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 - CS7545_Sp24_Lecture_13: VC‐Dimension Contd. & Sauer‐Shelah Lemma
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 - CS7545_Sp24_Lecture_14: Introduction to Online Learning
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 - CS7545_Sp24_Lecture_15: Online Convex Optimization & Gradient Descent
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 - CS7545_Sp24_Lecture_16
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 - CS7545_Sp24_Lecture_17
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 - CS7545_Sp24_Lecture_18
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 - CS7545_Sp24_Lecture_19
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 - CS7545_Sp24_Lecture_20
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 - CS7545_Sp24_Lecture_21
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 - CS7545_Sp24_Lecture_22
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 - CS7545_Sp24_Lecture_22: Game Theory
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 - CS7545_Sp24_Lecture_24: Optimal betting strategies, gambling and online portfolio optimization
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 - CS7545_Sp24_Lecture_25: Hallucination
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 - CS7545_Sp24_Lecture_Scribe_Signup
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 - CS7545_Sp24_Practice_Exam_1
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 - CS7545_Sp24_Practice_Exam_2
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 - Home for Spring 2023
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 - Markdown_Latex_Issues
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 - Objectives for cleaning up lecture notes
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