Rankings are ubiquitous in the online world today. As we have transitioned from finding
books in libraries to ranking products, jobs, job applicants, opinions and potential romantic …

The purpose of this survey is to serve both as a gentle introduction and a coherent overview
of state-of-the-art Frank--Wolfe algorithms, also called conditional gradient algorithms, for …

The loss landscapes of deep neural networks are not well understood due to their high
nonconvexity. Empirically, the local minima of these loss functions can be connected by a …

Data lies at the core of modern deep learning. The impressive performance of supervised
learning is built upon a base of massive accurately labeled data. However, in some real …

We study the energy extraction from and charging to a finite-dimensional quantum system by
general quantum operations. We prove that the changes in energy induced by unital …

Cooperative communication plays a central role in theories of human cognition, language,
development, culture, and human-robot interaction. Prior models of cooperative …

Datacenter networks are critical to Cloud computing. The coflow abstraction is a major leap
forward of application-aware network scheduling. In the context of multistage jobs, there are …

Synthetic aperture radar (SAR), as a wideband radar system, is subject to interference by
radio frequency systems, such as radio, TV, and cellular networks. Since the narrowband …

Problem definition: We study a joint product framing and order fulfillment problem with both
inventory and cardinality constraints faced by an e-commerce retailer. There is a finite …

We consider the problem of computing a sequence of rankings that maximizes consumer-
side utility while minimizing producer-side individual unfairness of exposure. While prior …