Probabilistic Methods Courses and Certifications

Probabilistic Methods in Combinatorics

Master probabilistic methods in combinatorics and theoretical computer science, exploring random constructions, extremal set theory, and advanced mathematical concepts for proving existence of combinatorial objects.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

International Centre for Theoretical Sciences

Probabilistic Methods in Negative Curvature - 2023

Explore advanced probabilistic techniques in negative curvature geometry through expert lectures on diffeomorphism groups, hyperbolic rigidity, and random walks on groups.

• YouTube
• 1 day 8 hours 13 minutes
• On-Demand
• Free Video

Alan Turing Institute

Probabilistic Methods for Increased Robustness in Machine Learning

Explore probabilistic methods to enhance machine learning robustness, focusing on latent variables, molecular design, and optimization techniques for improved AI performance and reliability.

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

Inside Livermore Lab

Probabilistic Methods for Data-Driven Reduced-Order Modeling

Explore probabilistic methods for data-driven reduced-order modeling, including Gaussian process regression, deep kernel learning, and Bayesian reduced-order operator inference for efficient multi-query simulations and digital twinning.

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

ACM SIGPLAN

Formal Probabilistic Methods for Combinatorial Structures using the Lovász Local Lemma

Explore formal probabilistic methods for combinatorial structures, focusing on the Lovász Local Lemma and its application to hypergraph coloring in Isabelle/HOL.

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

Centre International de Rencontres Mathématiques

Probabilistic Methods - Entropy Compression

Explore probabilistic methods and entropy compression in mathematics through an in-depth lecture by František Kardoš at CIRM's ALEA days conference.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Banach Center

Probabilistic Methods in Geometry and Topology

Discover how probabilistic methods prove existence of geometric and topological structures without explicit construction, from combinatorics to cutting-edge applications in algebra and Riemannian geometry.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Advances in Applied Probability II

Explore cutting-edge research in applied probability, covering statistical learning, high-dimensional computation, Monte Carlo methods, discrete probability, percolation, and empirical methods. Gain insights from leading experts.

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

International Centre for Theoretical Sciences

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

International Centre for Theoretical Sciences

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

International Centre for Theoretical Sciences

Near-Optimal Heteroscedastic Regression With Symbiotic Learning by Praneeth Netrapalli

Explore near-optimal heteroscedastic regression techniques using symbiotic learning, presented by Praneeth Netrapalli. Gain insights into advanced data science methods for improved regression analysis.

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

International Centre for Theoretical Sciences

Fitting Manifolds to Data in the Presence of Large Noise by Hari Narayanan

Explore techniques for fitting manifolds to noisy data, focusing on probabilistic and optimization methods in data science. Learn about cutting-edge approaches and their applications.

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

International Centre for Theoretical Sciences

Finite Time Analysis of Temporal Difference Learning with Linear Function

Explores finite time analysis of Temporal Difference Learning with linear function approximation, discussing probabilistic and optimization methods in data science and their applications.

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

International Centre for Theoretical Sciences

Stein Variational Gradient Descent - Fast Finite-Particle Convergence

Explore Stein Variational Gradient Descent and its fast finite-particle convergence in this technical talk by Dheeraj Nagaraj, part of a data science discussion meeting on probabilistic and optimization methods.

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

IEEE

Beyond the Lovasz Local Lemma - Point to Set Correlations and Their Algorithmic Applications

Explore point-to-set correlations and their algorithmic applications, extending beyond the Lovasz Local Lemma for advanced problem-solving in computer science and mathematics.

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