Probabilistic Inference Courses and Certifications

Artificial Intelligence

215 reviews

This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence.

• MIT OpenCourseWare
• 24 hours
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Methods for Scalable Probabilistic Inference - IPAM at UCLA

1 review

Explore scalable probabilistic inference methods for astrophysics, focusing on Gaussian Processes for time series analysis and open-source tools to accelerate Bayesian inference with large datasets.

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

ACM SIGPLAN

Probabilistic Inference - Session Preview at POPL 2023

Explore probabilistic inference concepts with expert Alexandra Silva in this POPL 2023 session preview, enhancing accessibility of advanced programming language topics.

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

Valence Labs

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for language models using Twisted Sequential Monte Carlo, enhancing LLM capabilities and safety measures.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Institut Henri Poincaré

Probabilistic Inference of the Steady-State Distribution of an Age-Size Structured Population

Explore probabilistic techniques for inferring steady-state distributions of age-size structured populations using single-cell data and stochastic modeling.

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

The Julia Programming Language

Probabilistic Inference Using Contraction of Tensor Networks

Explore probabilistic inference using tensor networks with TensorInference.jl. Learn exact methods for complex models, optimizing contraction sequences, and leveraging GPU technology for enhanced performance.

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

Probabilistic Graphical Models 2: Inference

489 ratings at Coursera

Explore probabilistic inference in graphical models, covering exact and approximate algorithms for conditional probability queries and MAP inference, with hands-on programming assignments.

• Coursera
• 38 hours
• On-Demand
• Paid Course

Simons Institute

Weighted Model Integration

Explore advanced probabilistic inference in hybrid domains using Weighted Model Integration. Learn about solvers, tractability analysis, and applications in Bayesian deep learning.

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

Simons Institute

Decision Diagrams for Efficient Inference and Optimization in Expressive Discrete-Continuous Domains

Explore extended algebraic decision diagrams (XADDs) for representing piecewise functions, enabling efficient computations and novel solutions in probabilistic inference, optimization, and decision-making.

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

Uncertainty in Artificial Intelligence

Local Message Passing on Frustrated Systems - UAI Oral Session 6

Explore an alternative message passing algorithm for cyclic graphs, challenging SPA's extrinsic principle and optimizing factor node updates for improved performance on complex networks.

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

Center for Language & Speech Processing(CLSP), JHU

The Inadequacy of the Mode in Neural Machine Translation

Explore neural machine translation's limitations, focusing on mode-seeking search issues and advocating for decision rules that consider entire probability distributions in sequence generation.

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

Toronto Machine Learning Series (TMLS)

Large Neural Nets for Amortized Probabilistic Inference in Highly Multimodal Distributions

Explore amortized probabilistic inference using large neural networks for complex distributions. Learn about GFlowNets and their potential to improve AI systems with Bayesian and causal understanding.

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

DataLearning@ICL

Probabilistic Circuits: Deep Probabilistic Models with Tractable Inference

Explore probabilistic circuits as deep models for efficient reasoning under uncertainty, examining their structural properties and connections to neuro-symbolic AI.

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

Center for Language & Speech Processing(CLSP), JHU

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Explore advanced probabilistic inference techniques for Large Language Models using Sequential Monte Carlo methods, focusing on safety, capability enhancement, and evaluation frameworks.

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

Fondamentaux de la science des données

Comment tirer profit des milliards de données générées par les activités humaines sans s’y perdre? Inscrivez-vous au MOOC Science des données pour découvrir les concepts fondamentaux qui sont au cœur de l’intelligence artificielle!

• edX
• 8 weeks, 3-4 hours a week
• On-Demand
• Free Online Course (Audit)