Matthew Streeter
7 papers · 2008–2019 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
π
Keyword Trendsetter Combo
(5)
π
Trend Setter
Venues
Research topics
Machine Learning
(7)
Optimization & Theory Β· Machine Learning
(7)
Learning Types
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Computer Science
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Application Areas
(1)
Core AI
(1)
Core Methods
(1)
Foundations
(1)
Optimization & Theory Β· Deep Learning
(1)
Systems
(1)
Keywords
online learning
(3)
regret bound
(3)
submodular function
(2)
submodular optimization
(2)
convex optimization
(1)
assignment problem
(1)
image classification
(1)
learning rate
(1)
resource allocation
(1)
scheduling
(1)
online convex optimization
(1)
scheduling optimization
(1)
no-regret analysis
(1)
sponsored search
(1)
no-regret learning
(1)
linear programming
(1)
unconstrained optimization
(1)
greedy optimization
(1)
hyperparameter tuning
(1)
distributed learning
(1)
Papers
Learning Optimal Linear Regularizers
ICML 2019
Approximation Algorithms for Cascading Prediction Models
ICML 2018
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
NeurIPS 2014
No-Regret Algorithms for Unconstrained Online Convex Optimization
NeurIPS 2012
Open Problem: Better Bounds for Online Logistic Regression
COLT 2012
Online Learning of Assignments
NeurIPS 2009
An Online Algorithm for Maximizing Submodular Functions
NeurIPS 2008