Zenan Ling
7 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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Keyword Pioneer
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Conference Polyglot
(4)
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Cross-Pollinator
(5)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(21)
Conferences
AISTATS (2)
ICML (2)
NIPS (2)
AAAI (1)
Top co-authors
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)
nonstationary kernel
(1)
sparse spectral representation
(1)
permanental process
(1)
deep kernel
(1)
spectral representation
(1)
weight tying
(1)
label bia
(1)
Papers
Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton
ICML 2025
Nonstationary Sparse Spectral Permanental Process
NIPS 2024
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
AAAI 2024
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
ICML 2024
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
NIPS 2023
Global Convergence of Over-parameterized Deep Equilibrium Models
AISTATS 2023
Exploring Image Regions Not Well Encoded by an INN
AISTATS 2022