Zenan Ling
7 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(23)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Core Methods
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types
(1)
Mathematics
(1)
Models
(1)
Keywords
gaussian process
(2)
neural network optimization
(1)
deep kernel learning
(1)
kernel approximation
(1)
gradient descent
(1)
machine learning
(1)
likelihood maximization
(1)
implicit differentiation
(1)
weight sharing
(1)
linear convergence
(1)
generative model
(1)
deep equilibrium model
(1)
uncertainty estimation
(1)
sparse spectral representation
(1)
permanental process
(1)
deep kernel
(1)
spectral representation
(1)
weight tying
(1)
label bia
(1)
few-shot classification
(1)
Papers
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton
ICML 2025
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
ICML 2024
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
AAAI 2024
Nonstationary Sparse Spectral Permanental Process
NeurIPS 2024
Global Convergence of Over-parameterized Deep Equilibrium Models
AISTATS 2023
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
NeurIPS 2023
Exploring Image Regions Not Well Encoded by an INN
AISTATS 2022