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Function Approximation, Probabilistic View Point, Deterministic View Point.

What is the difference between Numerical and Analytical methods? In this video of our Numerical Methods course, we break down ...

Here we explore key properties of the MLE, such as consistency and data efficiency. This video was produced at the University of ...

Random Experiment, Probability Triplet.

Score-based diffusion models, while achieving remarkable empirical performance, often suffer from low sampling speed, due to ...

Time: October 1, 2025 Speaker: Jiawei Zhang (UW-Madison) Abstract: It is well known that for nonconvex unconstrained ...

Quantum Approximate Optimization Algorithm | Edward Farhi, Principal Scientist, Google https://q2b.qcware.com/ ...

Signup to use Aleph at: https://kotharcomputing.com/ https://www.linkedin.com/company/kothar-computing Consider supporting ...

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This tutorial brings together two rapidly developing topics in modern statistical learning: (i) synthetic data methods for imbalanced ...

Unsupervised learning is a central challenge in artificial intelligence, lying at the intersection of statistics and machine learning.

This video series explains concepts from the book "Deep Learning" by Aaron Courville, Ian Goodfellow, and Yoshua Bengio.

Although asynchronous session subtyping is undecidable in general, we can rely on practical approximate algorithms. I will briefly ...

TITLE: Randomized Linear Algebra with Subspace Injections SPEAKER: Joel Tropp (Caltech) ABSTRACT: To achieve the ...

I will overview several practical tricks for handling (interpolating) functions efficiently, and discuss how they can help your ...

This is a video in the "Introductory Probability" series. We discuss how you can find joint probabilities in a contingency table.

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