75 citations · 109 across the 4 of their papers we have counts for
4 papers
Ranking architectures using meta-learning
Alina Dubatovka, Efi Kokiopoulou, Luciano Sbaiz +3
Neural architecture search has recently attracted lots of research efforts as it promises to automate the manual design of neural networks. However, it requires a large amount of c…
Fast Task-Aware Architecture Inference
Efi Kokiopoulou, Anja Hauth, Luciano Sbaiz +3
Neural architecture search has been shown to hold great promise towards the automation of deep learning. However in spite of its potential, neural architecture search remains quite…
Near-Optimally Teaching the Crowd to Classify
Adish Singla, Ilija Bogunovic, Gábor Bartók +2
How should we present training examples to learners to teach them classification rules? This is a natural problem when training workers for crowdsourcing labeling tasks, and is als…
An Adaptive Algorithm for Finite Stochastic Partial Monitoring
Gabor Bartok, Navid Zolghadr, Csaba Szepesvari
We present a new anytime algorithm that achieves near-optimal regret for any instance of finite stochastic partial monitoring. In particular, the new algorithm achieves the minimax…