Richard Peng
7 papers · 2015–2020 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
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Keywords
sparse recovery
(1)
link prediction
(1)
spectral clustering
(1)
graph laplacian
(1)
convex optimization
(1)
k-means clustering
(1)
graph representation learning
(1)
sample complexity
(1)
tensor decomposition
(1)
random fields
(1)
graph embedding
(1)
laplacian matrix
(1)
markov chain
(1)
linear regression
(1)
graph partitioning
(1)
constrained clustering
(1)
geometric convergence
(1)
clustering algorithm
(1)
gaussian graphical model
(1)
randomized algorithm
(1)
Papers
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
NeurIPS 2020
Faster Graph Embeddings via Coarsening
ICML 2020
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
NeurIPS 2019
Simple and Scalable Constrained Clustering: a Generalized Spectral Method
AISTATS 2016
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
NeurIPS 2016
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
COLT 2015
Partitioning Well-Clustered Graphs: Spectral Clustering Works!
COLT 2015