Weiwei Pan
10 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (7) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(20)
π₯
Unstoppable
(6)
π
Century Club
(10)
Conferences
AISTATS (2)
ICML (2)
JMLR (2)
UAI (2)
AAAI (1)
MLHC (1)
Top co-authors
Keywords
variational inference
(3)
discount regularization
(2)
latent variable
(2)
bayesian neural network
(2)
ensemble learning
(1)
uncertainty quantification
(1)
tensor decomposition
(1)
markov chain monte carlo
(1)
markov decision process
(1)
posterior distribution
(1)
covariate shift
(1)
bellman equation
(1)
model-based reinforcement learning
(1)
mean-field approximation
(1)
optimal policy
(1)
chinese restaurant process
(1)
regularization parameter
(1)
prior predictive
(1)
online inference
(1)
statistical power
(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
Power Constrained Bandits
MLHC 2021
Efficient online inference for nonparametric mixture models
UAI 2021
Ensembles of Locally Independent Prediction Models
AAAI 2020
Weighted Tensor Decomposition for Learning Latent Variables with Partial Data
AISTATS 2018