Cover Image

Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ngo, Giang, Nguyen, Dang, Gupta, Sunil
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
by: Ngo, Giang, et al.
Published: (2024)

High-dimensional Level Set Estimation with Trust Regions and Double Acquisition Functions
by: Ngo, Giang, et al.
Published: (2026)

Adaptive Acquisition Selection for Bayesian Optimization with Large Language Models
by: Ngo, Giang, et al.
Published: (2026)

Unique Rashomon Sets for Robust Active Learning
by: Nguyen, Simon, et al.
Published: (2025)

Diverse Image Priors for Black-box Data-free Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)

Distributionally Robust Active Learning for Gaussian Process Regression
by: Takeno, Shion, et al.
Published: (2025)

Active Learning for Level Set Estimation Using Randomized Straddle Algorithms
by: Inatsu, Yu, et al.
Published: (2024)

Safe Active Learning for Time-Series Modeling with Gaussian Processes
by: Zimmer, Christoph, et al.
Published: (2024)

Batch Active Learning in Gaussian Process Regression using Derivatives
by: Yu, Hon Sum Alec, et al.
Published: (2024)

Distance Is All You Need: Radial Dispersion for Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models
by: Nguyen, Manh, et al.
Published: (2025)

Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling
by: Sandberg, Jack, et al.
Published: (2025)

LARGE: A Locally Adaptive Regularization Approach for Estimating Gaussian Graphical Models
by: Nguyen, Ha, et al.
Published: (2026)

Gentle Local Robustness implies Generalization
by: Than, Khoat, et al.
Published: (2024)

Generating Realistic Tabular Data with Large Language Models
by: Nguyen, Dang, et al.
Published: (2024)

A Finite-Horizon Approach to Active Level Set Estimation
by: Kearns, Phillip, et al.
Published: (2023)

The Attribution Contract: Feature Attribution for Generative Language Models
by: Nguyen, Giang
Published: (2026)

Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
by: Tran-The, Hung, et al.
Published: (2022)

Active Learning with Weak Supervision for Gaussian Processes
by: Olmin, Amanda, et al.
Published: (2022)

Causal-Aware Generative Adversarial Networks with Reinforcement Learning
by: Nguyen, Tu Anh Hoang, et al.
Published: (2025)

GRAD: Graph-Retrieved Adaptive Decoding for Hallucination Mitigation
by: Nguyen, Manh, et al.
Published: (2025)

Quality-Controlled Active Learning via Gaussian Processes for Robust Structure-Property Learning in Autonomous Microscopy
by: Chowdhury, Jawad, et al.
Published: (2026)

Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

Improving Diversity in Black-box Few-shot Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)

Robust, Online, and Adaptive Decentralized Gaussian Processes
by: Llorente, Fernando, et al.
Published: (2025)

Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
by: Tebbe, Jörn, et al.
Published: (2024)

Retrieval-augmented Decoding for Improving Truthfulness in Open-ended Generation
by: Nguyen, Manh, et al.
Published: (2025)

Causal Discovery via Bayesian Optimization
by: Duong, Bao, et al.
Published: (2025)

Semi-parametric Expert Bayesian Network Learning with Gaussian Processes and Horseshoe Priors
by: Weng, Yidou, et al.
Published: (2024)

Adaptive-Growth Randomized Neural Networks for Level-Set Computation of Multivalued Nonlinear First-Order PDEs with Hyperbolic Characteristics
by: Dang, Haoning, et al.
Published: (2026)

Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
by: Dang, Quy-Anh, et al.
Published: (2025)

Active Learning for Manifold Gaussian Process Regression
by: Cheng, Yuanxing, et al.
Published: (2025)

Time-Varying Gaussian Process Bandits with Unknown Prior
by: Ziomek, Juliusz, et al.
Published: (2024)

Adaptive Active Learning for Regression via Reinforcement Learning
by: Nguyen, Simon D., et al.
Published: (2026)

Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
by: Miller, Kevin S., et al.
Published: (2024)

Semi-Supervised Hyperbolic Hierarchical Clustering with Set-Level Structural Priors
by: Zheng, Junjing, et al.
Published: (2026)

HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
by: Nguyen, Tuan Ngo, et al.
Published: (2024)

Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
by: Xue, Yihao, et al.
Published: (2023)

Robust Generalization with Adaptive Optimal Transport Priors for Decision-Focused Learning
by: Sun, Haixiang, et al.
Published: (2026)

Large Language Models for Imbalanced Classification: Diversity makes the difference
by: Nguyen, Dang, et al.
Published: (2025)