STAT
Calendar of Events
S Sun
M Mon
T Tue
W Wed
T Thu
F Fri
S Sat
0 events,
0 events,
0 events,
0 events,
1 event,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
IDEAS/STAT Optimization Seminar: “Foundations of Deep Learning: Optimization and Representation Learning”
IDEAS/STAT Optimization Seminar: “Foundations of Deep Learning: Optimization and Representation Learning”
Deep learning's success stems from the ability of neural networks to automatically discover meaningful representations from raw data. In this talk, I will describe some recent insights into how optimization enables this learning process. First, I will show how optimization algorithms exhibit surprisingly rich dynamics when training neural networks, and how these complex dynamics are […]
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
IDEAS/STAT Optimization Seminar: “Theoretical foundations for multi-agent learning”
IDEAS/STAT Optimization Seminar: “Theoretical foundations for multi-agent learning”
As learning algorithms become increasingly capable of acting autonomously, it is important to better understand the behavior that results from their interactions. For example, a pervasive challenge in multi-agent learning settings, which spans both theory and practice and dates back decades, has been the failure of convergence for iterative algorithms such as gradient descent. Accordingly, […]
0 events,
0 events,
0 events,
0 events,
0 events,
0 events,
1 event,
IDEAS/STAT Optimization Seminar: “ML for an Interactive World: From Learning to Unlearning”
IDEAS/STAT Optimization Seminar: “ML for an Interactive World: From Learning to Unlearning”
The remarkable recent success of Machine Learning (ML) is driven by our ability to develop and deploy interactive models that can solve complicated tasks by understanding and adapting to the ever-changing state of the world. However, the development of such models demands significant data and computing resources. Moreover, as these models increasingly interact with humans, […]