Kaizheng Wang
9 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (7) π Interdisciplinary Bridge π Cross-Pollinator (9)
πΊοΈ
Taxonomy Completionist
(15)
π
Grand Slam
Conferences
ICML (3)
ICLR (2)
NIPS (2)
AAAI (1)
AISTATS (1)
Top co-authors
Keywords
deep ensemble
(2)
credal set
(2)
uncertainty quantification
(2)
ensemble learning
(1)
epistemic uncertainty
(1)
gradient descent
(1)
statistical estimation
(1)
matrix completion
(1)
phase retrieval
(1)
distributionally robust optimization
(1)
mixture model
(1)
implicit regularization
(1)
out-of-distribution detection
(1)
ensemble distillation
(1)
calibration error
(1)
neural network ensemble
(1)
expected calibration error
(1)
elliptical distribution
(1)
model compression
(1)
landscape analysis
(1)
Papers
Credal Ensemble Distillation for Uncertainty Quantification
AAAI 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
Model Assessment and Selection under Temporal Distribution Shift
ICML 2024
Credal Deep Ensembles for Uncertainty Quantification
NIPS 2024
Efficient Clustering for Stretched Mixtures: Landscape and Optimality
NIPS 2020
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion
ICML 2018