:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Le, Tung Quoc, Nguyen, Anh Tuan, Nguyen, Viet Anh
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2602.02406
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
by: Le, Tung Quoc, et al.
Published: (2026)

Provably data-driven projection method for quadratic programming
by: Nguyen, Anh Tuan, et al.
Published: (2025)

A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
by: Tuan, Tran Anh, et al.
Published: (2024)

MicroRicci: A Greedy and Local Ricci Flow Solver for Self-Tuning Mesh Smoothing
by: Anh, Le Vu, et al.
Published: (2025)

Model-Free Counterfactual Subset Selection at Scale
by: Nguyen, Minh Hieu, et al.
Published: (2025)

Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence
by: Nguyen, Quoc Minh, et al.
Published: (2026)

VPI-Mlogs: A web-based machine learning solution for applications in petrophysics
by: Nguyen, Anh Tuan
Published: (2024)

Task-driven Layerwise Additive Activation Intervention
by: Nguyen, Hieu Trung, et al.
Published: (2025)

Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
by: Balcan, Maria-Florina, et al.
Published: (2025)

Structured Pruning for Diverse Best-of-N Reasoning Optimization
by: Nguyen, Hieu Trung, et al.
Published: (2025)

Lipschitz Bounds for Persistent Laplacian Eigenvalues under One-Simplex Insertions
by: Anh, Le Vu, et al.
Published: (2025)

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
by: Hoang, Vu Viet, et al.
Published: (2024)

RePCS: Diagnosing Data Memorization in LLM-Powered Retrieval-Augmented Generation
by: Anh, Le Vu, et al.
Published: (2025)

Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
by: Nguyen, Duy, et al.
Published: (2024)

Spectral Contraction of Boundary-Weighted Filters on delta-Hyperbolic Graphs
by: Anh, Le Vu, et al.
Published: (2025)

Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
by: Nguyen, Minh-Duong, et al.
Published: (2025)

Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
by: Le, Minh, et al.
Published: (2025)

ToFU: Transforming How Federated Learning Systems Forget User Data
by: Tran, Van-Tuan, et al.
Published: (2025)

Bellman Optimal Stepsize Straightening of Flow-Matching Models
by: Nguyen, Bao, et al.
Published: (2023)

Explaining Graph Neural Networks via Structure-aware Interaction Index
by: Bui, Ngoc, et al.
Published: (2024)

High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)

Multilevel Picard approximations and deep neural networks with ReLU, leaky ReLU, and softplus activation overcome the curse of dimensionality when approximating semilinear parabolic partial differential equations in $L^p$-sense
by: Neufeld, Ariel, et al.
Published: (2024)

Distributional Surgery for Language Model Activations
by: Nguyen, Bao, et al.
Published: (2025)

CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift
by: Nguyen, Anh T, et al.
Published: (2023)

Don't Read Everything: A Curvature-Conditioned Query for Linear Attention
by: Le, Dong, et al.
Published: (2026)

Algorithm Configuration for Structured Pfaffian Settings
by: Balcan, Maria-Florina, et al.
Published: (2024)

Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)

Cold-start Recommendation by Personalized Embedding Region Elicitation
by: Nguyen, Hieu Trung, et al.
Published: (2024)

VoteGCL: Enhancing Graph-based Recommendations with Majority-Voting LLM-Rerank Augmentation
by: Nguyen, Minh-Anh, et al.
Published: (2025)

Conditional Multidimensional Scaling with Incomplete Conditioning Data
by: Bui, Anh Tuan
Published: (2025)

Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free Approach
by: Nguyen, Tuan-Anh, et al.
Published: (2024)

Efficient Bilevel Optimization for Meta Label Correction in Noisy Label Learning
by: Nguyen, Ba Hoang Anh, et al.
Published: (2026)

SCOPE: Spectral Concentration by Distributionally Robust Joint Covariance-Precision Estimation
by: Chen, Renjie, et al.
Published: (2025)

CADKnitter: Compositional CAD Generation from Text and Geometry Guidance
by: Le, Tri, et al.
Published: (2025)

A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
by: Anh, Vu Duc, et al.
Published: (2024)

Persistent Homology-induced Graph Ensembles for Time Series Regressions
by: Nguyen, Viet The, et al.
Published: (2025)

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
by: Huynh, Thanh Trung, et al.
Published: (2024)

Coverage-Validity-Aware Algorithmic Recourse
by: Bui, Ngoc, et al.
Published: (2023)

RN-F: A Novel Approach for Mitigating Contaminated Data in Large Language Models
by: Anh, Le Vu, et al.
Published: (2025)

Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
by: Le, Long Tan, et al.
Published: (2023)