← Authors

Dennis Wei

35 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ”¬ Deep Specialist (10) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ—ƒοΈ Keyword Collector (156) ⚑ Prolific Year (5) πŸ’Ž Century Club (34) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter ❓ The Questioner (3)

Conferences

NIPS (9) AISTATS (7) ICML (6) JMLR (3) AAAI (2) ACL (2) IJCAI (2) UAI (2) EMNLP (1) ICLR (1)

Top co-authors

Prasanna Sattigeri (8) Karthikeyan Natesan Ramamurthy (7) Amit Dhurandhar (6) Karthikeyan Shanmugam (4) Moninder Singh (4) Sijia Liu (4) Sanjeeb Dash (4) Tian Gao (4) Pin-Yu Chen (4) Yunfeng Zhang (3)

Keywords

convex optimization (5) integer programming (4) causal inference (3) feature attribution (3) model interpretability (3) fairness constraint (3) interpretable machine learning (3) column generation (3) equalized odd (2) disjunctive normal form (2) score transformation (2) regret bound (2) structure learning (2) robustness verification (2) bayesian network (2) graphical model (2) binary classification (2) explainable ai (2) interpretable model (2) feature selection (1)

Papers

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
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
Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification ICML 2024
Causal Bandits with General Causal Models and Interventions AISTATS 2024
Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding NIPS 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans AISTATS 2023
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023
Interpretable and Fair Boolean Rule Sets via Column Generation JMLR 2023
Interpretable differencing of machine learning models UAI 2023
AI Explainability 360: Impact and Design AAAI 2022
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach NIPS 2022
Your fairness may vary: Pretrained language model fairness in toxic text classification ACL 2022
Conditionally independent data generation UAI 2021
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
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing ICML 2020
Characterization of Overlap in Observational Studies AISTATS 2020
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks NIPS 2020
Optimized Score Transformation for Fair Classification AISTATS 2020
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models JMLR 2020
Generalized Linear Rule Models ICML 2019
Parallel Bayesian Network Structure Learning ICML 2018
Boolean Decision Rules via Column Generation NIPS 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