Dynamic Resource Allocation for Optimizing Population Diffusion -- Alan Fern

Keynote 2: Weakly Informative Priors -- Andrew Gelman

Highlight Talk: Bayesian Monitoring for the Comprehensive Nuclear Test Ban Treaty -- Stuart Russell

Keynote 1: High dimensional Causal Inference -- Peter Bühlman

Mixed Graphical Models via Exponential Families -- Pradeep Ravikumar

Highlight Talk: Representation Learning: A Review and New Perspectives -- Yoshua Bengio

Keynote 3: On the Computational and Statistical Interface and Big Data -- Michael Jordan

Black Box Variational Interference -- Rajesh Ranganath

Bayesian Nonparametric Possion Factorization for Recommendation System -- Prem Gopalan

The Physics and Philosophy of Time - with Carlo Rovelli

Notable Paper: Distributed Optimization of Deeply Nested Systems -- Miguel Carreira-Perpinan

The American Wake Experiment (AWAKEN)

Tutorial 2: Approximate Bayesian Computation (ABC) -- Christian P. Robert

E366 Navigating the Bible: Revelation

8 AI Tools That Will Make You Rich in 2025!

UAI 2024 Tutorial 4: Geometric Probabilistic Models

Démonstration de 2+2 =5

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2024-Q4-AI 4. Artificial Neural Network Regression using Numpy