Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Martingale-based Methods for Stochastic Systems

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (55)

Stochastic Models for Communications: Continuous-Time Stochastic Processes Log in to Mediaspace to watch this video

Covers examples of continuous-time stochastic processes in communications.

Stochastic Calculus: Brownian Motion Log in to Mediaspace to watch this video

Explores stochastic processes in continuous time, emphasizing Brownian motion and related concepts.

Probability and Stochastic Processes: Fundamentals and Applications Log in to Mediaspace to watch this video

Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.

Probability Distributions in Environmental Studies Log in to Mediaspace to watch this video

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Markov Chains: Theory and Applications Log in to Mediaspace to watch this video

Covers the theory and applications of Markov chains in modeling random phenomena and decision-making under uncertainty.

Reinforcement Learning Concepts Log in to Mediaspace to watch this video

Covers key concepts in reinforcement learning, neural networks, clustering, and unsupervised learning, emphasizing their applications and challenges.

Adaptive Signal Processing: Filtering & Neural Networks Log in to Mediaspace to watch this video

Explores adaptive signal processing, gradient descent, and the LMS algorithm for efficient filtering and neural network training.

Probability & Stochastic Processes Log in to Mediaspace to watch this video

Covers applied probability, stochastic processes, Markov chains, rejection sampling, and Bayesian inference methods.

Stochastic Processes: Definitions and Examples Log in to Mediaspace to watch this video

Covers the definitions and examples of continuous-time stochastic processes.

Stochastic Models for Communications: Discrete-Time Markov Chains - First Passage Time Log in to Mediaspace to watch this video

Explores discrete-time Markov chains, emphasizing first passage time probabilities and minimal solutions.

Transformer Architecture: Subquadratic Attention Mechanisms Log in to Mediaspace to watch this video

Covers transformer architecture, focusing on encoder-decoder models and subquadratic attention mechanisms for efficient processing of input sequences.

Characterization of Stochastic Processes: Theory and Applications Log in to Mediaspace to watch this video

Covers the characterization of stochastic processes, focusing on their mathematical foundations and real-world applications.

Probability and Statistics Log in to Mediaspace to watch this video

Covers mathematical concepts from number theory to probability and statistics.

Elementary probability: Theory and calculations Log in to Mediaspace to watch this video

Introduces elementary probability theory, set theory operations, and probability calculations with practical examples.

Machine Learned Interatomic Potentials Log in to Mediaspace to watch this video

Delves into machine learned interatomic potentials, showcasing their accuracy and cost-effectiveness in predicting chemical properties.

Markov Chains: Definitions and State Probabilities Log in to Mediaspace to watch this video

Covers the definitions and state probabilities of discrete-time Markov chains.

Combinatorial Principles: Factorials and Probabilities Log in to Mediaspace to watch this video

Introduces combinatorial principles, factorials, probabilities, harmonic series convergence, and strategic decision-making in a romantic scenario.

Software Correctness: Testing and Verification Log in to Mediaspace to watch this video

Explores software correctness through testing, verification, property-based fuzzing, and dynamic information flow control.

Deep Neural Networks Log in to Mediaspace to watch this video

Covers the back-propagation algorithm for deep neural networks and the importance of locality in CNN.

Network Simulation: Spontaneous Activity and Validation Log in to Mediaspace to watch this video

Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.

Page 2 of 3