Information Theory Courses and Certifications

Institute for Pure & Applied Mathematics (IPAM)

Oscillator-to-Oscillator Codes Do Not Have a Threshold

Explores limitations of oscillator-to-oscillator codes in quantum information, proving they lack a threshold property for error correction when using constant squeezing and maximum likelihood decoding.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Predicting Many Properties of a Quantum System From Very Few Measurements

Efficient method for constructing approximate classical descriptions of quantum states using minimal measurements, enabling prediction of multiple properties with system size-independent measurement requirements.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Information-Theoretic Quantum Cryptography Part 2 of 2 - IPAM at UCLA

Explore advanced quantum cryptography topics, including secure delegated computation, quantum key distribution, and certified deletion, with a focus on security against unbounded adversaries.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

BSidesLV

The Leverage of Language, or, How I Realized Information Theory Could Save Information Security

Explore how information theory can revolutionize cybersecurity through language leverage, visualization, and innovative approaches to incident response and threat intelligence.

• YouTube
• 54 minutes
• On-Demand
• Conference Talk

BSidesLV

The Power Law of Information

Explore the concept of power law in information systems and its implications for cybersecurity with insights from Michael Roytman's expert analysis.

• YouTube
• 45 minutes
• On-Demand
• Conference Talk

Simons Institute

The Limits of Group Fairness and Predictive Multiplicity

Explore information-theoretic approaches to group fairness and predictive multiplicity in machine learning, examining their limitations and implications for trustworthy AI systems.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Simons Institute

Fair, Explainable, and Lawful Machine Learning for High-Stakes Applications

Explore information-theoretic methods for trustworthy ML, focusing on fairness, explainability, and legal compliance in critical applications.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Simons Institute

Information-Theoretic Methods for Fair Risk Minimization

Explore information-theoretic approaches to fair risk minimization in machine learning, focusing on trustworthy AI and ethical considerations in algorithm design.

• YouTube
• 32 minutes
• On-Demand
• Free Video

Simons Institute

Learning Classification Metrics from Preference Feedback

Explore techniques for learning classification metrics using preference feedback, focusing on information-theoretic approaches for trustworthy machine learning.

• YouTube
• 36 minutes
• On-Demand
• Free Video

Simons Institute

Differentially Quantized Gradient Methods

Explore advanced gradient quantization techniques for machine learning, focusing on differential methods and their impact on algorithm efficiency and performance.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Simons Institute

Memorization in Machine Learning

Explore information-theoretic methods for trustworthy machine learning, focusing on memorization techniques and their implications for model reliability and data privacy.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Simons Institute

Distribution Estimation With User-Level Privacy and Communication Constraints

Explore user-level privacy and communication constraints in distribution estimation, focusing on information-theoretic methods for trustworthy machine learning.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Applied Algebraic Topology Network

Cohomological Characterization of Information Structures

Exploring cohomological methods to quantify statistical interactions in datasets, linking information theory, statistical physics, and machine learning for improved data analysis and interpretation.

• YouTube
• 58 minutes
• On-Demand
• Free Video

International Mathematical Union

On the Complexity of Quantum Many Body Systems

Explores recent advancements in representing and computing ground states of 1D quantum systems efficiently using concepts from quantum computation and information theory.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Statistical Mechanics for Real Biological Networks by William Bialek - Turing Lecture

Explore statistical mechanics applied to biological networks, focusing on information processing and self-organization in living systems. Gain insights from leading experts in physics, mathematics, and biology.

• YouTube
• 2 hours 3 minutes
• On-Demand
• Free Video