Weiwei Pan
10 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (26)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Keyword Collector
(50)
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(8)
Artificial Intelligence
(5)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Core AI
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Bayesian & Probabilistic
(2)
Methods
(2)
Interdisciplinary
(1)
Cognitive Science
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
variational inference
(3)
bayesian neural network
(2)
discount regularization
(2)
latent variable
(2)
ensemble learning
(1)
uncertainty quantification
(1)
bayesian nonparametrics
(1)
online inference
(1)
markov decision process
(1)
posterior distribution
(1)
covariate shift
(1)
bellman equation
(1)
model-based reinforcement learning
(1)
mean-field approximation
(1)
regularization parameter
(1)
markov chain monte carlo
(1)
chinese restaurant process
(1)
prior predictive
(1)
optimal policy
(1)
tensor decomposition
(1)
Papers
Position: Rethinking LLM Bias Probing Using Lessons from the Social Sciences
ICML 2025
Transparent Trade-offs between Properties of Explanations
UAI 2025
Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning
JMLR 2024
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
ICML 2023
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables
JMLR 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data
AISTATS 2022
Efficient online inference for nonparametric mixture models
UAI 2021
Power Constrained Bandits
MLHC 2021
Ensembles of Locally Independent Prediction Models
AAAI 2020
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
AISTATS 2018