Stefan Wager
9 papers · 2013–2022 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver
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Keyword Champion
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Keyword Pioneer
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Trend Setter
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Keyword Collector
(58)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory Β· Machine Learning
(8)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Optimization & Theory Β· Deep Learning
(2)
Application Areas
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
dropout regularization
(2)
matrix completion
(2)
text classification
(1)
minimax optimality
(1)
communication complexity
(1)
empirical risk minimization
(1)
fisher information
(1)
low-rank matrix
(1)
document classification
(1)
minimax estimation
(1)
positive semidefinite matrix
(1)
statistical query
(1)
adaptive regularization
(1)
variance estimation
(1)
sample complexity
(1)
sparse linear regression
(1)
thompson sampling
(1)
semi-supervised learning
(1)
feature scaling
(1)
causal inference
(1)
Papers
Partial likelihood Thompson sampling
UAI 2022
Covariate-Powered Empirical Bayes Estimation
NeurIPS 2019
Bootstrap-Based Regularization for Low-Rank Matrix Estimation
JMLR 2016
Memory, Communication, and Statistical Queries
COLT 2016
Altitude Training: Strong Bounds for Single-Layer Dropout
NeurIPS 2014
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
JMLR 2014
Feedback Detection for Live Predictors
NeurIPS 2014
Dropout Training as Adaptive Regularization
NeurIPS 2013
Feature Noising for Log-Linear Structured Prediction
EMNLP 2013