Dennis Wei
37 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (10)
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Academic Marathon
(12)
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Renaissance Researcher
(6)
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Interdisciplinary Bridge
π¬
Deep Specialist
(10)
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Triple Crown
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Keyword Champion
(2)
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Grand Slam
π₯
Mega-Team
(20)
ποΈ
Keyword Collector
(156)
β‘
Prolific Year
(5)
π
Century Club
(34)
π₯
Unstoppable
(10)
π
Trend Setter
β
The Questioner
(3)
Conferences
NIPS (9)
AISTATS (7)
ICML (6)
ACL (4)
JMLR (3)
AAAI (2)
IJCAI (2)
UAI (2)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
convex optimization
(5)
integer programming
(4)
feature attribution
(3)
model interpretability
(3)
fairness constraint
(3)
causal inference
(3)
column generation
(3)
interpretable machine learning
(3)
large language model
(3)
equalized odd
(2)
disjunctive normal form
(2)
score transformation
(2)
structure learning
(2)
robustness verification
(2)
regret bound
(2)
bayesian network
(2)
graphical model
(2)
binary classification
(2)
explainable ai
(2)
interpretable model
(2)
Papers
AI Steerability 360: A Toolkit for Steering Large Language Models
ACL 2026
Multi-component Causal Tracing in Large Language Models
ACL 2026
Parameterized Abstract Interpretation for Transformer Verification
AAAI 2026
Multi-Level Explanations for Generative Language Models
ACL 2025
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
ICML 2025
Reasoning Model Unlearning: Forgetting Traces, Not Just Answers, While Preserving Reasoning Skills
EMNLP 2025
Causal Bandits with General Causal Models and Interventions
AISTATS 2024
Selective Explanations
NIPS 2024
Interventional Causal Discovery in a Mixture of DAGs
NIPS 2024
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
ICLR 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
ICML 2024
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa
IJCAI 2024
Interpretable differencing of machine learning models
UAI 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding
NIPS 2023
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics
AISTATS 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
AISTATS 2023
Interpretable and Fair Boolean Rule Sets via Column Generation
JMLR 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans
AISTATS 2023
Your fairness may vary: Pretrained language model fairness in toxic text classification
ACL 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
NIPS 2022
AI Explainability 360: Impact and Design
AAAI 2022
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond
ICML 2021
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
NIPS 2021
What Changed? Interpretable Model Comparison
IJCAI 2021
Optimized Score Transformation for Consistent Fair Classification
JMLR 2021
Conditionally independent data generation
UAI 2021
Characterization of Overlap in Observational Studies
AISTATS 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
ICML 2020
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
JMLR 2020
Optimized Score Transformation for Fair Classification
AISTATS 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks
NIPS 2020
Generalized Linear Rule Models
ICML 2019
Boolean Decision Rules via Column Generation
NIPS 2018
Parallel Bayesian Network Structure Learning
ICML 2018
Optimized Pre-Processing for Discrimination Prevention
NIPS 2017
A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++
NIPS 2016
Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods
AISTATS 2013