Search for tag: "fisheries"

Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Energy landscape and open problems (Lecture 5/5)

To derive a theory for gradient descent methods, it is important to have some understanding of the energy landscape. In this lecture, an overview of existing results is given. The second part of the…

From  Kathryn Gentilello 3 Weeks ago 17 views 0  

Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Statistical theory for deep ReLU networks (Lecture 4/5)

We outline the theory underlying the recent bounds on the estimation risk of deep ReLU networks. In the lecture, we discuss specific properties of the ReLU activation function that relate to skipping…

From  Kathryn Gentilello 3 Weeks ago 11 views 0  

Cherie R. Kagan - Designer Colloidal Nanocrystal Materials for Electronic and Optical Applications

Semiconductor and plasmonic nanocrystals are known for their size and shape dependent photo-luminescence and localized surface plasmon resonances, respectively. In this talk, I will describe the use…

From  Kathryn Gentilello A month ago 9 views 0  

Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks: Advantages of Additional Layers (Lecture 3/5)

Why are deep networks better than shallow networks? We provide a survey of the existing ideas in the literature. In particular, we discuss localization of deep networks, functions that can be easily…

From  Kathryn Gentilello A month ago 15 views 0  

Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks : Theory for shallow networks (Lecture 2/5)

We start with the universal approximation theorem and discuss several proof strategies that provide some insights into functions that can be easily approximated by shallow networks. Based on this, a…

From  Kathryn Gentilello A month ago 22 views 0  

Johannes Schmidt-Hieber - Mathematics for Deep Neural Networks (Lecture 1/5)

Lecture 1) Survey on neural network structures and deep learning There are many different types of neural networks that differ in complexity and the data types that can be processed. This lecture…

From  Kathryn Gentilello A month ago 37 views 0  

Michael Mitzenmacher - Bloom Filters, Cuckoo Hashing, Cuckoo Filters, Adaptive Cuckoo Filters, and Learned Bloom Filters

I will go over some of my past and present work on hashing-based data structures. After presenting some background on Bloom filters and cuckoo hashing, we will describe cuckoo filters, an efficient…

From  Kathryn Gentilello 4 Months ago 17 views 0  

Gabor Lugosi - Mean Estimation: Median-of-Means Tournaments

In these lectures we discuss some statistical problems with an interesting combinatorial structure behind. We start by reviewing the "hidden clique" problem, a simple prototypical example…

From  Kathryn Gentilello 5 Months ago 10 views 0  

Gabor Lugosi - Combinatorial Testing Problems

In these lectures we discuss some statistical problems with an interesting combinatorial structure behind. We start by reviewing the "hidden clique" problem, a simple prototypical example…

From  Kathryn Gentilello 5 Months ago 18 views 0  

Ruth Misener - Gaussian Processes for Hybridizing Analytical & Data-Driven Decision-Making

Surrogate models are widely appreciated in chemical engineering. The typical setting focuses on expensive-to-evaluate, possibly uncertain functions. Resources are typically limited, so effective…

From  Kathryn Gentilello 6 Months ago 31 views 0  

Sara van de Geer - The Debiased Lasso

In the third lecture we use sparsity to establish confidence intervals for a parameter of interest. The idea is to use the penalized estimator as an initial estimator in a one-step Newton-Raphson…

From  Kathryn Gentilello 7 Months ago 74 views 0  

Sara van de Geer - Compatibility and the Lasso

We will see in the first lecture that one needs conditions which relate the penalty to the risk function. They have in a certain sense to be “compatible”. We discuss these compatibility…

From  Kathryn Gentilello 7 Months ago 62 views 0  

Sara van de Geer - Sharp Oracle Inequalities for Non-Convex Loss

There will be three lectures, which in principle will be independent units. Their common theme is exploiting sparsity in high-dimensional statistics. Sparsity means that the statistical model…

From  Kathryn Gentilello 7 Months ago 101 views 0  

Organic Memories Featuring Multi-Bit Storage - Klaus Meerholz

Photochromic molecules provide an intriguing and relatively untapped alternative to traditional materials utilized in organic memory devices. We have recently reported on a new prototype of a…

From  Kathryn Gentilello 10 Months ago 3 views 0  

Bio-inspired Materials: New Approaches to Molecular Building Blocks - Craig Hawker

Marine organisms use organic building blocks in unique ways to achieve materials with exceptional properties. With inspiration from these natural systems, the design of synthetic building blocks to…

From  Kathryn Gentilello A year ago 86 views 0