Learning from Probabilistic ModelsDelves into challenges of learning from probabilistic models, covering computational complexity, data reconstruction, and statistical gaps.
Complexity of AlgorithmsExplores algorithm complexity, analyzing efficiency and worst-case scenarios of sorting algorithms.
Elements of Computational ComplexityIntroduces computational complexity, decision problems, quantum complexity, and probabilistic algorithms, including NP-hard and NP-complete problems.
Deep Learning: Theory and PracticeBy Prof. Volkan Cevher delves into the mathematics of deep learning, exploring model complexity, risk trade-offs, and the generalization mystery.
