Randomness

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Online Matching in Evolving Environments

Explores online matching in evolving environments, addressing challenges and solutions for adapting algorithms to changing data.

Random Velocity Fields

Explores random velocity fields, discussing moments, correlation, and statistical symmetries.

Weight Initialization: Tricks of the Trade

Explores smart weight initialization in neural networks, emphasizing the importance of proper data normalization and random weight initialization.

Probabilistic Analysis: The Hiring Problem

Explores the probabilistic analysis of the hiring problem, focusing on strategies, expected hires, and randomized algorithms.

Exploration Bias

Explores the concept of exploration bias and its impact on data.

Quantifying Randomness and Information in Biological Data

Explores entropy, randomness, and information quantification in biological data analysis, including neuroscience and protein structure prediction.

Classical Delegation of Quantum Computation: Further Works

Delves into classical delegation of quantum computation, discussing challenges and open questions in verifying quantum devices.

Algorithms to Live By: Optimal Stopping and Logarithmic Regret

Explores optimal stopping, explore/exploit, Bayes' Rule, and logarithmic regret in bandit solutions.

Backpropagation and Neural Networks

Covers the backpropagation algorithm for training neural networks and the representation of functions in multilayer networks.

Thermal Fluctuations: Importance at Cellular Scale

Explores the impact of thermal fluctuations at the cellular scale, emphasizing randomness in biological processes and the distribution of kinetic energy in gas molecules.