Machined Learnings

This is a continuation of my previous post where I noted that the Minimax Forecaster is tantalizing from an active learning perspective. F...

I've been making my way down the NIPS 2011 paper list, and found this nice paper Efficient Online Learning via Randomized Rounding by C...

There's a gem of a paper by El-Yaniv and Wiener called Agnostic Selective Classification . The punchline of this paper is that selectiv...

We now have a good idea how to do agnostic active learning in the IID setting .  In between the IID setting and the fully adversarial settin...

Now that active learning is increasingly well understood , contextual bandits (CB) are a natural next focus of attention. My understanding ...

Now that there are multiple active learning algorithms for binary classification popping up, it's a good time to ask what machine learni...

Over the holidays I really dug into Agnostic Active Learning without Constraints by Beygelzimer et. al., and I've developed an intuitio...

Suppose I have a large data set $\{ (X_i, Y_i) \}$ sampled i.i.d. from a distribution $D$ on $\mathcal{X} \times \mathcal{Y}$, where $\mathc...