# Upcoming Events

*Princeton University is actively monitoring the situation around coronavirus (COVID-19) and the evolving guidance from government and health authorities. The latest guidance for Princeton members and visitors is available on the University’s Emergency Management website. *

No upcoming events found.

## Events Archive

### Can learning theory resist deep learning?

### Machine Learning for the Sciences

*Taking place every other Friday. Lunch will be provided.*

### Convergence Rates of Stochastic Algorithms in Nonsmooth Nonconvex Optimization

### Exploration by Optimization in Partial Monitoring

In many real-world problems learners cannot directly observe their own rewards but can still infer whether some particular action is successful. How should a learner take actions to balance its need of information while maximizing their reward in this setting? Partial monitoring is a framework introduced a few decades ago to model learning...

### Randomized Methods for Low-Rank Tensor Decomposition in Unsupervised Learning

### Algorithm and Statistical Inference for Recovery of Discrete Structure

### Optimizing for Fairness in ML

### Machine Learning for the Sciences

*Taking place every other Friday. Lunch will be provided.*

### Word Embeddings: What works, what doesn’t, and how to tell the difference for applied research

### Machine Learning for the Sciences

*Taking place every other Friday. Lunch will be provided.*