Joseph Wang
7 papers · 2012–2017 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (4)
π
Academic Marathon
(5)
π
Cross-Pollinator
(14)
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Trend Setter
π₯
Unstoppable
(6)
Conferences
NIPS (3)
ICML (2)
ACML (1)
AISTATS (1)
Top co-authors
Keywords
empirical risk minimization
(2)
random forest
(2)
sensor selection
(2)
classification
(1)
feature selection
(1)
supervised learning
(1)
logistic regression
(1)
sequential decision
(1)
multiclass classification
(1)
early exit
(1)
label noise
(1)
feature space
(1)
dynamic programming
(1)
generalization error
(1)
linear programming
(1)
model pruning
(1)
budgeted learning
(1)
integer programming
(1)
space partitioning
(1)
convex optimization
(1)
Papers
Adaptive Neural Networks for Efficient Inference
ICML 2017
Pruning Random Forests for Prediction on a Budget
NIPS 2016
Feature-Budgeted Random Forest
ICML 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction
NIPS 2015
An LP for Sequential Learning Under Budgets
AISTATS 2014
Locally-Linear Learning Machines (L3M)
ACML 2013
Local Supervised Learning through Space Partitioning
NIPS 2012