1.6k citations · 4.2k across the 71 of their papers we have counts for
3 papers · 2 filters
Tracking using explanation-based modeling
Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
We study the tracking problem, namely, estimating the hidden state of an object over time, from unreliable and noisy measurements. The standard framework for the tracking problem i…
A parameter-free hedging algorithm
Kamalika Chaudhuri, Yoav Freund, Daniel Hsu
We study the problem of decision-theoretic online learning (DTOL). Motivated by practical applications, we focus on DTOL when the number of actions is very large. Previous algorith…
Multi-Label Prediction via Compressed Sensing
Daniel Hsu, Sham M. Kakade, John Langford +1
We consider multi-label prediction problems with large output spaces under the assumption of output sparsity -- that the target (label) vectors have small support. We develop a gen…