
Gradient descent learns linear dynamical systems

Approaching fairness in machine learning

Stability as a foundation of machine learning

Adaptive data analysis

Navigate the garden of the forking paths

Towards practicing differential privacy

Competing in a data science contest without reading the data

Goodbye Wordpress, never again

The NIPS experiment

How big data is unfair

Robustness versus acceleration

Pearson's polynomial

False discovery and differential privacy

Power method still powerful

The geometric view on sparse recovery

Hello TCS Aggregator!

The zen of gradient descent

What should a theory of big data say?

Is differential privacy practical?

Occupy algorithms: Will algorithms serve the 99%?

What I might blog about