Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Stochastic optimization

Related lectures (32)

Variance Reduction in Deep Learning

Explores variance reduction techniques in deep learning, covering gradient descent, stochastic gradient descent, SVRG method, and performance comparison of algorithms.

Optimizing Loss Functions: Gradient Descent Variants

Explores early stopping in gradient descent and variants for faster optimization.

Stochastic Simulation: Introduction and G/G/1 Queueing Model Log in to Mediaspace to watch this video

Covers the stochastic simulations course, G/G/1 queueing model, computational finance, statistics, physics, and Bayesian inference.

Stochastic Simulation: Rare Events and Crude Monte Carlo Log in to Mediaspace to watch this video

Explores stochastic simulation, rare events, and the Crude Monte Carlo method, emphasizing the importance of thresholds and closed-form expressions.

Stochastic Simulation: Uncertainty Quantification Log in to Mediaspace to watch this video

Explores uncertainty quantification using Quasi Monte Carlo methods and discrepancy measures for integral approximation and volume estimation.

Variance Reduction: Strategies and Applications Log in to Mediaspace to watch this video

Discusses variance reduction techniques in stochastic simulation, focusing on allocation strategies and replica generation algorithms.

Fractional Factorial Designs Log in to Mediaspace to watch this video

Explores fractional factorial designs, from types to analysis and model building.

Neural Networks: Training and Optimization Log in to Mediaspace to watch this video

Explores the training and optimization of neural networks, addressing challenges like non-convex loss functions and local minima.

Deep and Convolutional Networks: Generalization and Optimization Log in to Mediaspace to watch this video

Explores deep and convolutional networks, covering generalization, optimization, and practical applications in machine learning.

Stochastic Simulation: Monte Carlo Method Log in to Mediaspace to watch this video

Covers the properties and error estimates of the Monte Carlo method in stochastic simulation.

SGD and Mean Field Analysis Log in to Mediaspace to watch this video

Explores Stochastic Gradient Descent and Mean Field Analysis in two-layer neural networks, emphasizing their iterative processes and mathematical foundations.

Integer Optimization Log in to Mediaspace to watch this video

Covers optimization problems, minimal packing, and bounds in Integer Optimization.