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Related lectures (56)

Fields Deriving from a Potential Log in to Mediaspace to watch this video

Explores fields deriving from a potential, emphasizing integral and linear aspects.

Convex Optimization: Examples of Convex Functions Log in to Mediaspace to watch this video

Explores convex optimization, convex functions, and their properties, including strict convexity and strong convexity, as well as different types of convex functions like linear affine functions and norms.

Convex Optimization Log in to Mediaspace to watch this video

Introduces the fundamentals of convex optimization, emphasizing the significance of convex functions in simplifying the minimization process.

Advanced Information Theory: F-Divergences and Generalization Error Log in to Mediaspace to watch this video

Covers f-divergences and generalization error in advanced information theory.

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Swiss Energy Sector: Who is Who Log in to Mediaspace to watch this video

Explores the Swiss energy sector, focusing on key actors, challenges, ownership, infrastructure, and future trends.

Topic Models: Latent Dirichlet Allocation Log in to Mediaspace to watch this video

Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.

Gaussian Corelation Inequality & Anderson's Thum Log in to Mediaspace to watch this video

Explores Gaussian corelation inequality, Anderson's theorem, and log-concavity in probability theory.

Convergence of Random Walks Log in to Mediaspace to watch this video

Explores the convergence of random walks on graphs and the properties of weighted adjacency matrices.

Game Theory: Learning in Finite Action Games Log in to Mediaspace to watch this video

Covers learning dynamics in finite action games and explores various types of equilibria, including correlated and coarse correlated equilibria.

Stochastic Gradient Descent Log in to Mediaspace to watch this video

Explores stochastic gradient descent optimization and the Mean-Field Method in neural networks.

Gaussian Mixture Models & Noisy Signals Log in to Mediaspace to watch this video

Explores Gaussian mixture models and denoising noisy signals using a probabilistic approach.

Binary Systems: Phase Diagrams Log in to Mediaspace to watch this video

Explores binary systems, phase diagrams, and elastic properties in materials science, emphasizing phase equilibria and material behavior under deformation.

Convex Optimization Tutorial: KKT Conditions Log in to Mediaspace to watch this video

Explores KKT conditions in convex optimization, covering dual problems, logarithmic constraints, least squares, matrix functions, and suboptimality of covering ellipsoids.

Joint Equidistribution of CM Points Log in to Mediaspace to watch this video

Covers the joint equidistribution of CM points and the ergodic decomposition theorem in compact abelian groups.

Convex Optimization: Farkas' Lemma Log in to Mediaspace to watch this video

Covers Farkas' lemma, exploring the relationship between linear programs and the conditions for its validity.

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