Kaizheng Wang
10 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🏆 Grand Slam
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Core AI
(5)
Optimization & Theory
(5)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Application Areas
(3)
Core Methods
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Data Science & Analytics
(1)
Architectures
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Models
(1)
Keywords
credal set
(5)
out-of-distribution detection
(4)
epistemic uncertainty
(4)
uncertainty quantification
(4)
deep ensemble
(3)
non-convex optimization
(2)
uncertainty estimation
(2)
model evaluation
(1)
distribution shift
(1)
ensemble learning
(1)
statistical estimation
(1)
matrix completion
(1)
selective prediction
(1)
phase retrieval
(1)
generalization error
(1)
implicit regularization
(1)
mixture model
(1)
nonstationarity
(1)
pairwise comparison
(1)
distributionally robust optimization
(1)
Papers
Credal Ensemble Distillation for Uncertainty Quantification
AAAI 2026
Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study
UAI 2026
A Unified Evaluation Framework for Epistemic Predictions
AISTATS 2025
Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
ICLR 2025
Random-Set Neural Networks
ICLR 2025
Uncertainty Quantification for LLM-Based Survey Simulations
ICML 2025
Credal Deep Ensembles for Uncertainty Quantification
NeurIPS 2024
Model Assessment and Selection under Temporal Distribution Shift
ICML 2024
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
NeurIPS 2020
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion
ICML 2018