Cover Image

Distributionally Robust Safe Sample Elimination under Covariate Shift

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hanada, Hiroyuki, Aoyama, Tatsuya, Akahane, Satoshi, Tanaka, Tomonari, Okura, Yoshito, Inatsu, Yu, Hashimoto, Noriaki, Takeno, Shion, Murayama, Taro, Lee, Hanju, Kojima, Shinya, Takeuchi, Ichiro
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

Distributionally Robust Coreset Selection under Covariate Shift
by: Tanaka, Tomonari, et al.
Published: (2025)

Distributionally Robust Safe Screening
by: Hanada, Hiroyuki, et al.
Published: (2024)

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

Safe Distributionally Robust Feature Selection under Covariate Shift
by: Hanada, Hiroyuki, et al.
Published: (2026)

Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation
by: Aoyama, Tatsuya, et al.
Published: (2025)

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
by: Takeno, Shion, et al.
Published: (2023)

Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization
by: Takeno, Shion, et al.
Published: (2025)

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

Regret Analysis for Randomized Gaussian Process Upper Confidence Bound
by: Takeno, Shion, et al.
Published: (2024)

Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds
by: Sugiura, Shuhei, et al.
Published: (2026)

Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening
by: Kato, Hiroki, et al.
Published: (2018)

Optimal-Point Variance Reduction For Bayesian Optimization With Regret Guarantee
by: Takeno, Shion
Published: (2026)

Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design
by: Boyar, Onur, et al.
Published: (2024)

Dose-finding design based on level set estimation in phase I cancer clinical trials
by: Seno, Keiichiro, et al.
Published: (2025)

Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
by: Iwazaki, Shogo, et al.
Published: (2024)

Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
by: Iwazaki, Shogo, et al.
Published: (2025)

On Regret Bounds of Thompson Sampling for Bayesian Optimization
by: Takeno, Shion, et al.
Published: (2026)

Active learning for level set estimation under input uncertainty and its extensions
by: Inatsu, Yu, et al.
Published: (2019)

Multi-Scale Representation of Follicular Lymphoma Pathology Images in a Single Hyperbolic Space
by: Taguchi, Kei, et al.
Published: (2025)

Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)

Bayesian Parametric Methods for Deriving Distribution of Restricted Mean Survival Time
by: Hanada, Keisuke, et al.
Published: (2024)

Integrate Meta-analysis into Specific Study (InMASS) for Estimating Conditional Average Treatment Effect
by: Hanada, Keisuke, et al.
Published: (2025)

Bayesian Optimization of Robustness Measures under Input Uncertainty: A Randomized Gaussian Process Upper Confidence Bound Approach
by: Inatsu, Yu
Published: (2025)

Statistical Reliability of Data‐Driven Science and Technology
by: Ichiro Takeuchi
Published: (2025)

Statistical Test for Feature Selection Pipelines by Selective Inference
by: Shiraishi, Tomohiro, et al.
Published: (2024)

Directional Convergence, Benign Overfitting of Gradient Descent in leaky ReLU two-layer Neural Networks
by: Hashimoto, Ichiro
Published: (2025)

Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
by: Nishiyama, Daiki, et al.
Published: (2025)

A Clustering Approach for Basket Trials Based on Treatment Response Trajectories
by: Kojima, Masahiro, et al.
Published: (2025)

Analyses of Multiple Balmer Emission Lines from Accreting Brown Dwarfs and Very Low Mass Stars
by: Hashimoto, Jun, et al.
Published: (2024)

Pathogenic Role of Avidity of Autoantibodies to Desmogleins 3 and 1 in Pemphigus Vulgaris
by: Takashi Hashimoto, et al.
Published: (2026)

Phase Transitions and Noise Robustness of Quantum Graph States
by: Numajiri, Tatsuya, et al.
Published: (2025)

Letter to “Predicting Fetal Distress in Growth‐Restricted Fetuses: The Role of Umbilical Vein Diameter”
by: Hiroyuki Tokue, et al.
Published: (2025)

Real-Time Model Predictive Control of Vehicles with Convex-Polygon-Aware Collision Avoidance in Tight Spaces
by: Kojima, Haruki, et al.
Published: (2025)

Language Models Grow Less Humanlike beyond Phase Transition
by: Aoyama, Tatsuya, et al.
Published: (2025)

Hallazgo de Gnathostoma turgidum en Didelphis virginiana de Temazcal, Oaxaca, México
by: Hiroshige Akahane
Published: (1998)

Statistical Test for Auto Feature Engineering by Selective Inference
by: Matsukawa, Tatsuya, et al.
Published: (2024)

Manifestly Covariant Canonical Formalism of Quadratic Gravity
by: Oda, Ichiro
Published: (2025)

On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
by: Wu, Hanju, et al.
Published: (2025)

Identifiability and Error Bound: Metric and Geometric Perspectives
by: Wu, Hanju, et al.
Published: (2026)

A study on two-metric projection methods
by: Wu, Hanju, et al.
Published: (2024)