David P. Helmbold
7 papers · 2009–2018 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(13)
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Research topics
Keywords
online learning
(3)
regret bound
(2)
deep network
(2)
dropout regularization
(2)
learning theory
(2)
weight decay
(2)
linear classification
(1)
l2 regularization
(1)
permutation learning
(1)
conditional independence
(1)
error probability
(1)
mistake bound
(1)
exponential weight
(1)
inductive bia
(1)
doubly stochastic matrix
(1)
multiplicative update
(1)
local minimum
(1)
prediction model
(1)
rectified linear unit
(1)
unlabeled example
(1)
Papers
Online Learning of Combinatorial Objects via Extended Formulation
ALT 2018
Surprising properties of dropout in deep networks
JMLR 2018
Surprising properties of dropout in deep networks
COLT 2017
On the Inductive Bias of Dropout
JMLR 2015
New Bounds for Learning Intervals with Implications for Semi-Supervised Learning
COLT 2012
On the Necessity of Irrelevant Variables
JMLR 2012
Learning Permutations with Exponential Weights
JMLR 2009