In the conventional statistical framework, the goal is developing optimal inference procedures, where optimality is understood with respect to the sample size and parameter space.

Computation of node proximity on graphs is a fundamental graph mining problem, which is widely explored in recommendation, web search and community discovery applications.

The observations for continuous-time dynamical models becomes widely available at a manner of extremely high frequency.

Coffee Break

With the rapid development of online service, sensing and social networking technologies, large quantities of human behavioral data are now readily available.

Interaction screening for high-dimensional problems has recently drawn much attention.

Lunch

Ever since humans became sentient beings, science, industry, and business have each played vital roles in the development of their civilizations, each developing in a way that reinforces the other.

Machine Learning (ML) techniques now are ubiquitous tools to extract useful information from data collections.

Coffee Break

The life sciences have invested significant resources in the development and application of semantic technologies to make research data accessible and interlinked, and to enable the integration and analysis of data.

Kernel selection aims at choosing an appropriate kernel function for kernel-based learning algorithms to avoid either underfitting or overfitting of the resulting hypothesis.

Gala dinner in Yacht Club

The event "Keynote 6: Optimality of Spectral Methods for Ranking, Community Detections and Beyond. Uniform pertubation analysis of eigenspaces and its applications to Community Detection, Ranking and Beyond (Prof. Jianqing Fan, Princeton University)" starts on 21 March 2018, 08:45 AM and ends on 21 June 2021, 09:30 AM. Please create separate events for each day, or modify the dates so the event only takes place in a single day

Ordinal outcomes are common in scientific research and everyday practice, and we often rely on regression models to make inference.

Consider a sequence of data points @%X_1,...,X_n%@ whose underlying mean is @%\theta^*\in\mathbb{R}^n%@.

Coffee Break

High-throughput methods based on chromosome conformation capture technologies have greatly advanced our understanding of the three-dimensional (3D) organization of genomes and demonstrated that genome architecture strongly influences gene regulation.

Modern supercomputers like Shaheen II at KAUST are specially designed and architected for large-scale parallel simulation workloads such as computational fluid dynamics or weather forecasting

Lunch

As the society-wide digitalization unfolds, aspects of our lives are increasingly being captured digitally.

The increasing pressure toward transparent, explainable and accountable reasoning in Artificial Intelligence has caused renewed attention to be given to causal models.

Coffee Break

This work has been motivated by the challenge of the 2017 conference on Extreme-Value Analysis (EVA2017), with the goal of predicting daily precipitation quantiles at the $99.8\%$ level for each month at observed and unobserved locations.

Closing remark

In this talk, I will introduce the notion of "uniform generalization" across all loss classes and show how it bridges the gap between statistical learning theory and information theory.

Closing dinner