Po-ling Loh
13 papers · 2011–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (5)
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Interdisciplinary Bridge
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Conference Polyglot
(5)
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Keyword Collector
(65)
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Century Club
(13)
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Trend Setter
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Conferences
NIPS (6)
COLT (3)
JMLR (2)
ALT (1)
ICML (1)
Top co-authors
Research topics
Keywords
statistical learning
(2)
nonconvex optimization
(2)
hypothesis testing
(2)
regularized m-estimators
(2)
composite gradient descent
(2)
statistical learning theory
(2)
graphical model
(2)
variational inference
(1)
causal discovery
(1)
non-convex optimization
(1)
belief propagation
(1)
data augmentation
(1)
sample complexity
(1)
minimax optimality
(1)
bethe approximation
(1)
structure learning
(1)
partition function
(1)
covariance matrix
(1)
high-dimensional statistics
(1)
convex optimization
(1)
Papers
Algorithmic Learning Theory 2025: Preface
ALT 2025
On Differentially Private U Statistics
NIPS 2024
The Sample Complexity of Simple Binary Hypothesis Testing
COLT 2024
Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
COLT 2023
Conference on Learning Theory 2022: Preface
COLT 2022
Does Data Augmentation Lead to Positive Margin?
ICML 2019
Computing and maximizing influence in linear threshold and triggering models
NIPS 2016
Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima
JMLR 2015
Concavity of reweighted Kikuchi approximation
NIPS 2014
High-Dimensional Learning of Linear Causal Networks via Inverse Covariance Estimation
JMLR 2014
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima
NIPS 2013
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
NIPS 2012
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
NIPS 2011