Malik Magdon-Ismail
14 papers · 2008–2020 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
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Trend Setter
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Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Century Club Β· Bronze
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(93)
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Research topics
Machine Learning
(12)
Optimization & Theory
(10)
Mathematics & Optimization
(9)
Core Methods
(9)
Optimization
(7)
Mathematics
(6)
Learning Types
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Data Science & Analytics
(2)
Deep Learning
(2)
Core AI
(2)
Foundations
(2)
Knowledge & Reasoning
(1)
Application Areas
(1)
Keywords
sparse principal component analysis
(3)
dimensionality reduction
(3)
generalization error
(2)
complex network
(2)
matrix completion
(2)
principal component analysis
(2)
nonlinear dynamics
(2)
margin maximization
(2)
support vector machine
(2)
randomized algorithm
(2)
matrix sketching
(2)
network inference
(2)
dimension reduction
(2)
low-rank approximation
(2)
collective decision making
(1)
adaptive sampling
(1)
feature extraction
(1)
link prediction
(1)
sample complexity
(1)
sequential decision making
(1)
Papers
Inferring Degrees from Incomplete Networks and Nonlinear Dynamics
IJCAI 2020
True Nonlinear Dynamics from Incomplete Networks
AAAI 2020
A Mathematical Model For Optimal Decisions In A Representative Democracy
NeurIPS 2018
Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements
JMLR 2017
Optimal Sparse Linear Encoders and Sparse PCA
NeurIPS 2016
Approximating Sparse PCA from Incomplete Data
NeurIPS 2015
Column Selection via Adaptive Sampling
NeurIPS 2015
Feature Selection for Linear SVM with Provable Guarantees
AISTATS 2015
The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding
COLING 2014
Random Projections for Support Vector Machines
AISTATS 2013
Fast Approximation of Matrix Coherence and Statistical Leverage
JMLR 2012
Sparse Features for PCA-Like Linear Regression
NeurIPS 2011
Permutation Complexity Bound on Out-Sample Error
NeurIPS 2010
Adapting to a Market Shock: Optimal Sequential Market-Making
NeurIPS 2008