Po-ling Loh
13 papers · 2011–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
📈
Trend Setter
🔥
Unstoppable · Bronze
❓
The Questioner
💎
Century Club · Bronze
🗃️
Keyword Collector
(72)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(11)
Mathematics & Optimization
(9)
Mathematics
(6)
Optimization
(6)
Application Areas
(4)
Core Methods
(4)
Learning Types
(4)
Artificial Intelligence
(2)
Security & Privacy
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Differential Privacy
(2)
Deep Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Keywords
non-convex optimization
(3)
statistical learning
(2)
composite gradient descent
(2)
graphical model
(2)
regularized m-estimators
(2)
sample complexity
(2)
statistical learning theory
(2)
hellinger divergence
(2)
hypothesis testing
(2)
binary hypothesis testing
(2)
convex optimization
(1)
data augmentation
(1)
minimax optimality
(1)
high-dimensional statistics
(1)
variational inference
(1)
causal discovery
(1)
belief propagation
(1)
partition function
(1)
covariance matrix
(1)
structure learning
(1)
Papers
Algorithmic Learning Theory 2025: Preface
ALT 2025
On Differentially Private U Statistics
NeurIPS 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
NeurIPS 2016
Regularized M-estimators with Nonconvexity: Statistical and Algorithmic Theory for Local Optima
JMLR 2015
Concavity of reweighted Kikuchi approximation
NeurIPS 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
NeurIPS 2013
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
NeurIPS 2012
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity
NeurIPS 2011