Richard Peng
7 papers · 2015–2020 · 4 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Academic Marathon (5) π Interdisciplinary Bridge π Conference Polyglot (4) πΊοΈ Taxonomy Completionist (13)
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Keyword Pioneer
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Hot Topic Early Bird
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Trend Setter
Conferences
NIPS (3)
COLT (2)
AISTATS (1)
ICML (1)
Top co-authors
Research topics
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)
graph embedding
(1)
markov chain
(1)
linear regression
(1)
graph partitioning
(1)
constrained clustering
(1)
geometric convergence
(1)
clustering algorithm
(1)
randomized algorithm
(1)
spectral method
(1)
chernoff bound
(1)
node classification
(1)
Papers
Faster Graph Embeddings via Coarsening
ICML 2020
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
NIPS 2020
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression
NIPS 2019
Simple and Scalable Constrained Clustering: a Generalized Spectral Method
AISTATS 2016
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling
NIPS 2016
Partitioning Well-Clustered Graphs: Spectral Clustering Works!
COLT 2015
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification
COLT 2015