Yang Ning
12 papers · 2015–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Half
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(61)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(5)
Core Methods
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(4)
Core AI
(4)
Learning Types
(4)
Bayesian & Probabilistic
(3)
Mathematics
(3)
Healthcare & Medicine
(2)
Application Areas
(2)
Clinical
(2)
Computer Vision
(1)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Keywords
graphical model
(4)
parameter estimation
(3)
latent variable
(3)
high-dimensional inference
(3)
causal inference
(3)
hypothesis testing
(2)
exponential family
(2)
propensity score
(2)
doubly robust estimation
(2)
observational data
(2)
asymptotic normality
(2)
latent variable model
(2)
individualized treatment rule
(2)
mixed data
(2)
covariate shift
(1)
maximum likelihood
(1)
empirical risk minimization
(1)
expectation maximization
(1)
adversarial robustness
(1)
feature disentanglement
(1)
Papers
Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
JMLR 2026
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data
JMLR 2025
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
JMLR 2025
Towards Region-Adaptive Feature Disentanglement and Enhancement for Small Object Detection
IJCAI 2025
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
JMLR 2022
Regression Discontinuity Design under Self-selection
AISTATS 2021
High-Dimensional Inference for Cluster-Based Graphical Models
JMLR 2020
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
AAAI 2020
Efficient augmentation and relaxation learning for individualized treatment rules using observational data
JMLR 2019
High-dimensional Mixed Graphical Model with Ordinal Data: Parameter Estimation and Statistical Inference
AISTATS 2019
On Semiparametric Exponential Family Graphical Models
JMLR 2018
High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality
NeurIPS 2015