International Centre for Theoretical Sciences Courses

Causal Matrix Completion - Applications to Offline

Explore causal matrix completion and its applications in offline settings, focusing on probabilistic and optimization methods in data science.

• YouTube
• 1 hour 57 minutes
• On-Demand
• Free Video

Particle Methods for Optimization Over Measures - Lecture 2

Explore particle methods for measure optimization, focusing on theoretical foundations and practical applications in data science and machine learning.

• YouTube
• 2 hours 19 minutes
• On-Demand
• Free Video

Finite Time Analysis of Temporal Difference Learning with Linear Function by L. A. Prashanth

Explore finite time analysis of Temporal Difference Learning with linear function approximation, examining theoretical foundations and practical implications for reinforcement learning algorithms.

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

Probabilistic Methods in Data Science - Lecture by Aurélien Garivier

Exploration des méthodes probabilistes et d'optimisation en science des données, mettant l'accent sur les techniques analytiques et algorithmiques pour traiter efficacement les grands volumes de données.

• YouTube
• 1 hour 50 minutes
• On-Demand
• Free Video

Particle Methods for Optimization Over Measures by Lénaïc Chizat

Explore particle methods for measure optimization, focusing on theoretical foundations and practical applications in data science and machine learning.

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

Graph Alignment: Informational and Computational Limits - Lecture 2

Explore graph alignment challenges, focusing on informational and computational limits. Gain insights into probabilistic and optimization methods for data science applications.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Graph Alignment: Informational and Computational Limits - Lecture 1

Explore graph alignment challenges, focusing on informational and computational limits in data science. Gain insights into probabilistic methods for analyzing complex network structures.

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

Fitting Manifolds to Data with Large Noise by Hari Narayanan

Explore techniques for fitting manifolds to noisy data, focusing on probabilistic and optimization methods in data science. Learn from expert Hari Narayanan in this comprehensive lecture.

• YouTube
• 1 hour 33 minutes
• On-Demand
• Free Video

Advances in Risk-Aware Multi-Armed Bandit Problems by Vincent Tan

Explore risk-aware multi-armed bandit problems and recent advancements in this field of data science, focusing on probabilistic and optimization methods for decision-making under uncertainty.

• YouTube
• 1 hour 8 minutes
• On-Demand
• Free Video

The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning

Exploring the profound impact of mathematical principles on large-scale deep learning, unveiling unexpected connections and insights that drive advancements in artificial intelligence.

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

An Alternative View on AI: Collaborative Learning, Incentives, and Social Welfare - Lecture 2

Explore collaborative AI systems where intelligence emerges from agent interactions. Discusses economic incentives, social welfare, and dynamics in learning-based systems beyond traditional autonomous AI paradigms.

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

The Fascinating World of Flows - Lecture 4

Explore fluid dynamics, instability, and turbulence in everyday phenomena. Learn to describe flows and their impacts, from river patterns to cloud formation and mixing processes.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

Dynamic Pricing and Learning Under the Bass Model by Shipra Agrawal

Explore dynamic pricing strategies and learning techniques under the Bass model, focusing on data-driven approaches in marketing and product diffusion analysis.

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

Advances in Risk-Aware Multi-Armed Bandit Problems - Lecture 3

Explore risk-aware multi-armed bandit problems with Vincent Tan. Learn advanced techniques for balancing exploration and exploitation in uncertain decision-making scenarios.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

Learning from Dependent Data - Lecture 2

Explores techniques for analyzing and learning from dependent data, focusing on probabilistic and optimization methods in data science.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video