Great progress has been made in the past few years in our understanding of nonconvex optimizations. In this talk, I will share with you three of our works in this direction. In one, we study low-rank ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.

Efficient Training of Infinite-depth Neural Networks via Jacobian-free Backpropagation A promising trend in deep learning replaces fixed depth models by approximations of the limit as network depth ...

Today’s data pose unprecedented challenges for machine learning, statistics and data analysis. It may be incomplete, noisy, or exposed to some unknown source of corruption. Moreover, recent phenomenon ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Navigating the world of machine learning can often feel like stepping into a vast, intricate maze. Whether you’re a seasoned professional or just starting out, it’s easy to feel overwhelmed by the ...