Lecture
Algorithms to Live By: Optimal Stopping and Logarithmic Regret
Related lectures (47)
Quantifying Randomness and Information in Biological Data
Explores entropy, randomness, and information quantification in biological data analysis, including neuroscience and protein structure prediction.
Random Walks: Moran Process and Examples
Explores random walks, the Moran process, and examples in population genetics, protein abundance modeling, and bacterial chemotaxis.
Luria-Delbrück Experiment
Explores the implications of the Luria-Delbrück experiment on evolutionary mechanisms and the importance of probabilities in understanding biological data.
Biological Randomness and Data Analysis
Explores randomness in biology, covering thermal fluctuations, random walks, and data analysis techniques.
Distributed Randomness: Drand
Explores distributed randomness using Drand, covering cryptographic tools, key exchange, elliptic curve cryptography, and practical applications in blockchain systems.
Graph Coloring: Random vs Symmetrical
Compares random and symmetrical graph coloring in terms of cluster colorability and equilibrium.
Interpretation of Entropy
Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.
Quantifying Randomness in Biological Data
Covers randomness and information in biological data, focusing on discrete random variables and their quantification.
Probability Theory: Conditional Expectation
Covers conditional expectation, convergence of random variables, and the strong law of large numbers.
Cryptographic Primitives: Theory and Practice
Explores fundamental cryptographic primitives, security models, and the relationship between decryption security and key recovery security.