Duy Nguyen
10 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Research topics
Keywords
activation steering
(2)
model shift
(2)
algorithmic recourse
(2)
robust optimization
(2)
stochastic process
(1)
feature selection
(1)
k-means clustering
(1)
model alignment
(1)
bayesian inference
(1)
vector quantization
(1)
uncertainty quantification
(1)
cold-start recommendation
(1)
projected gradient descent
(1)
posterior probability
(1)
distributionally robust optimization
(1)
determinantal point process
(1)
sparse representation
(1)
learning rate
(1)
heavy-tailed distribution
(1)
semidefinite programming
(1)
Papers
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs
ACL 2026
Distributional Surgery for Language Model Activations
EMNLP 2025
Multi-Attribute Steering of Language Models via Targeted Intervention
ACL 2025
Cold-start Recommendation by Personalized Embedding Region Elicitation
UAI 2024
Distributionally Robust Recourse Action
ICLR 2023
Feasible Recourse Plan via Diverse Interpolation
AISTATS 2023
Counterfactual Plans under Distributional Ambiguity
ICLR 2022
Robust Bayesian recourse
UAI 2022
Fast learning rates with heavy-tailed losses
NeurIPS 2016
Stochastic Multiresolution Persistent Homology Kernel
IJCAI 2016