Saved in:
| Main Authors: | Nguyen, Huy Hoang, Zhou, Han, Blaschko, Matthew B., Tiulpin, Aleksei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.16316 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Toward Cost-efficient Adaptive Clinical Trials in Knee Osteoarthritis with Reinforcement Learning
by: Nguyen, Khanh, et al.
Published: (2024)
by: Nguyen, Khanh, et al.
Published: (2024)
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
by: Dang, Trung Dinh Quoc, et al.
Published: (2024)
by: Dang, Trung Dinh Quoc, et al.
Published: (2024)
SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
by: Xu, Dongli, et al.
Published: (2025)
by: Xu, Dongli, et al.
Published: (2025)
MI-Pruner: Crossmodal Mutual Information-guided Token Pruner for Efficient MLLMs
by: Li, Jiameng, et al.
Published: (2026)
by: Li, Jiameng, et al.
Published: (2026)
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
by: Dang, Trung, et al.
Published: (2024)
by: Dang, Trung, et al.
Published: (2024)
Image-level Regression for Uncertainty-aware Retinal Image Segmentation
by: Dang, Trung, et al.
Published: (2024)
by: Dang, Trung, et al.
Published: (2024)
Controllable Expensive Multi-objective Learning with Warm-starting Bayesian Optimization
by: Nguyen, Quang-Huy, et al.
Published: (2023)
by: Nguyen, Quang-Huy, et al.
Published: (2023)
EchoPrune: Interpreting Redundancy as Temporal Echoes for Efficient VideoLLMs
by: Li, Jiameng, et al.
Published: (2026)
by: Li, Jiameng, et al.
Published: (2026)
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
by: Wang, Zifu, et al.
Published: (2023)
by: Wang, Zifu, et al.
Published: (2023)
NAB: Neural Adaptive Binning for Sparse-View CT reconstruction
by: Xie, Wangduo, et al.
Published: (2026)
by: Xie, Wangduo, et al.
Published: (2026)
Stochastic Constrained Decentralized Optimization for Machine Learning with Fewer Data Oracles: a Gradient Sliding Approach
by: Nguyen, Hoang Huy, et al.
Published: (2024)
by: Nguyen, Hoang Huy, et al.
Published: (2024)
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
by: Hoang, Vu Viet, et al.
Published: (2024)
by: Hoang, Vu Viet, et al.
Published: (2024)
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)
by: Nguyen, Quoc-Anh Hoang, et al.
Published: (2024)
Designing MacPherson Suspension Architectures using Bayesian Optimization
by: Thomas, Sinnu Susan, et al.
Published: (2022)
by: Thomas, Sinnu Susan, et al.
Published: (2022)
CARE: Confidence-aware Ratio Estimation for Medical Biomarkers
by: Li, Jiameng, et al.
Published: (2025)
by: Li, Jiameng, et al.
Published: (2025)
CLASH: A Benchmark for Cross-Modal Contradiction Detection
by: Popordanoska, Teodora, et al.
Published: (2025)
by: Popordanoska, Teodora, et al.
Published: (2025)
High Dimensional Bayesian Optimization using Lasso Variable Selection
by: Hoang, Vu Viet, et al.
Published: (2025)
by: Hoang, Vu Viet, et al.
Published: (2025)
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
by: Wang, Zifu, et al.
Published: (2023)
by: Wang, Zifu, et al.
Published: (2023)
Bayesian Optimization by Kernel Regression and Density-based Exploration
by: Zhu, Tansheng, et al.
Published: (2025)
by: Zhu, Tansheng, et al.
Published: (2025)
Momentum Contrastive Learning with Enhanced Negative Sampling and Hard Negative Filtering
by: Hoang, Duy, et al.
Published: (2025)
by: Hoang, Duy, et al.
Published: (2025)
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
by: Cai, Xu, et al.
Published: (2024)
by: Cai, Xu, et al.
Published: (2024)
FIBER: A Differentially Private Optimizer with Filter-Aware Innovation Bias Correction
by: Dm, Duc, et al.
Published: (2026)
by: Dm, Duc, et al.
Published: (2026)
DAVE: Diagnostic benchmark for Audio Visual Evaluation
by: Radevski, Gorjan, et al.
Published: (2025)
by: Radevski, Gorjan, et al.
Published: (2025)
The Common Stability Mechanism behind most Self-Supervised Learning Approaches
by: Jha, Abhishek, et al.
Published: (2024)
by: Jha, Abhishek, et al.
Published: (2024)
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2024)
by: Nguyen, Minh-Duc, et al.
Published: (2024)
BKP: An R Package for Beta Kernel Process Modeling
by: Zhao, Jiangyan, et al.
Published: (2025)
by: Zhao, Jiangyan, et al.
Published: (2025)
Symmetry-Aware Bayesian Optimization via Max Kernels
by: Bardou, Anthony, et al.
Published: (2025)
by: Bardou, Anthony, et al.
Published: (2025)
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning
by: Hennequin, Mehdi, et al.
Published: (2024)
by: Hennequin, Mehdi, et al.
Published: (2024)
Omnipresent Yet Overlooked: Heat Kernels in Combinatorial Bayesian Optimization
by: Doumont, Colin, et al.
Published: (2025)
by: Doumont, Colin, et al.
Published: (2025)
Stopping Bayesian Optimization with Probabilistic Regret Bounds
by: Wilson, James T.
Published: (2024)
by: Wilson, James T.
Published: (2024)
On Regret Bounds of Thompson Sampling for Bayesian Optimization
by: Takeno, Shion, et al.
Published: (2026)
by: Takeno, Shion, et al.
Published: (2026)
From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
by: Nguyen, Quang-Huy, et al.
Published: (2026)
by: Nguyen, Quang-Huy, et al.
Published: (2026)
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
by: Takeno, Shion, et al.
Published: (2023)
by: Takeno, Shion, et al.
Published: (2023)
Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees
by: Nguyen, Thien Hang, et al.
Published: (2024)
by: Nguyen, Thien Hang, et al.
Published: (2024)
Large Dimensional Kernel Ridge Regression: Extending to Product Kernels
by: Zhou, Yang, et al.
Published: (2026)
by: Zhou, Yang, et al.
Published: (2026)
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization
by: Iwazaki, Shogo
Published: (2025)
by: Iwazaki, Shogo
Published: (2025)
On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise
by: Wang, Jingyi, et al.
Published: (2024)
by: Wang, Jingyi, et al.
Published: (2024)
Improved Kernel Alignment Regret Bound for Online Kernel Learning
by: Li, Junfan, et al.
Published: (2022)
by: Li, Junfan, et al.
Published: (2022)
Quadratic Gating Mixture of Experts: Statistical Insights into Self-Attention
by: Akbarian, Pedram, et al.
Published: (2024)
by: Akbarian, Pedram, et al.
Published: (2024)
Similar Items
-
Toward Cost-efficient Adaptive Clinical Trials in Knee Osteoarthritis with Reinforcement Learning
by: Nguyen, Khanh, et al.
Published: (2024) -
LoG-VMamba: Local-Global Vision Mamba for Medical Image Segmentation
by: Dang, Trung Dinh Quoc, et al.
Published: (2024) -
SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model
by: Xu, Dongli, et al.
Published: (2025) -
MI-Pruner: Crossmodal Mutual Information-guided Token Pruner for Efficient MLLMs
by: Li, Jiameng, et al.
Published: (2026) -
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
by: Dang, Trung, et al.
Published: (2024)