Saved in:
| Main Authors: | Ishibashi, Hideaki, Matsui, Kota, Kutsukake, Kentaro, Hino, Hideitsu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.20272 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
by: Tamano, Hiroshi, et al.
Published: (2025)
by: Tamano, Hiroshi, et al.
Published: (2025)
From DPPs to $k$-DPPs: identifiability analysis via spectral decomposition
by: Hino, Hideitsu, et al.
Published: (2026)
by: Hino, Hideitsu, et al.
Published: (2026)
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
by: Kawashima, Takahiro, et al.
Published: (2024)
by: Kawashima, Takahiro, et al.
Published: (2024)
Gradual Domain Adaptation via Normalizing Flows
by: Sagawa, Shogo, et al.
Published: (2022)
by: Sagawa, Shogo, et al.
Published: (2022)
Complex non-backtracking matrix for directed graphs
by: Sando, Keishi, et al.
Published: (2025)
by: Sando, Keishi, et al.
Published: (2025)
A Short Survey on Importance Weighting for Machine Learning
by: Kimura, Masanari, et al.
Published: (2024)
by: Kimura, Masanari, et al.
Published: (2024)
Duality induced by an embedding structure of determinantal point process
by: Hino, Hideitsu, et al.
Published: (2024)
by: Hino, Hideitsu, et al.
Published: (2024)
Sobolev--Ricci Curvature
by: Iwasaki, Kyoichi, et al.
Published: (2026)
by: Iwasaki, Kyoichi, et al.
Published: (2026)
Scalable Sobolev IPM for Probability Measures on a Graph
by: Le, Tam, et al.
Published: (2025)
by: Le, Tam, et al.
Published: (2025)
An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph
by: Le, Tam, et al.
Published: (2025)
by: Le, Tam, et al.
Published: (2025)
Dose-finding design based on level set estimation in phase I cancer clinical trials
by: Seno, Keiichiro, et al.
Published: (2025)
by: Seno, Keiichiro, et al.
Published: (2025)
Generalized Sobolev IPM for Graph-Based Measures
by: Le, Tam, et al.
Published: (2025)
by: Le, Tam, et al.
Published: (2025)
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms
by: Inatsu, Yu, et al.
Published: (2024)
by: Inatsu, Yu, et al.
Published: (2024)
Neural Network Matrix Product Operator: A Multi-Dimensionally Integrable Machine Learning Potential
by: Hino, Kentaro, et al.
Published: (2024)
by: Hino, Kentaro, et al.
Published: (2024)
Automatic Domain Adaptation by Transformers in In-Context Learning
by: Hataya, Ryuichiro, et al.
Published: (2024)
by: Hataya, Ryuichiro, et al.
Published: (2024)
Provable Target Sample Complexity Improvements as Pre-Trained Models Scale
by: Fukuchi, Kazuto, et al.
Published: (2026)
by: Fukuchi, Kazuto, et al.
Published: (2026)
Provable Data Scaling Law for Meta Learning via Complexity Minimization
by: Fukuchi, Kazuto, et al.
Published: (2026)
by: Fukuchi, Kazuto, et al.
Published: (2026)
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
by: Kato, Masahiro, et al.
Published: (2023)
by: Kato, Masahiro, et al.
Published: (2023)
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble
by: Fdez-Díaz, Laura, et al.
Published: (2024)
by: Fdez-Díaz, Laura, et al.
Published: (2024)
$(ε, δ)$-Differentially Private Partial Least Squares Regression
by: Nikzad-Langerodi, Ramin, et al.
Published: (2024)
by: Nikzad-Langerodi, Ramin, et al.
Published: (2024)
Regret-Based $(ε,δ)$-optimal Stopping Criteria for Bayesian Optimization
by: Wang, Haowei, et al.
Published: (2026)
by: Wang, Haowei, et al.
Published: (2026)
Multi-modal cascade feature transfer for polymer property prediction
by: Obuchi, Kiichi, et al.
Published: (2025)
by: Obuchi, Kiichi, et al.
Published: (2025)
Separating urban heat island circulation and convective cells through dynamic mode decomposition
by: Takuto Sato, et al.
Published: (2024)
by: Takuto Sato, et al.
Published: (2024)
Reliable and scalable variable importance estimation via warm-start and early stopping
by: Sun, Zexuan, et al.
Published: (2024)
by: Sun, Zexuan, et al.
Published: (2024)
Improving importance estimation in covariate shift for providing accurate prediction error
by: Fdez-Díaz, Laura, et al.
Published: (2024)
by: Fdez-Díaz, Laura, et al.
Published: (2024)
Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
by: Yahagi, Yuta, et al.
Published: (2025)
by: Yahagi, Yuta, et al.
Published: (2025)
Active learning for level set estimation under input uncertainty and its extensions
by: Inatsu, Yu, et al.
Published: (2019)
by: Inatsu, Yu, et al.
Published: (2019)
Early-stopping for Transformer model training
by: He, Jing, et al.
Published: (2025)
by: He, Jing, et al.
Published: (2025)
Muon Converges under Heavy-Tailed Noise: Nonconvex Hölder-Smooth Empirical Risk Minimization
by: Iiduka, Hideaki
Published: (2026)
by: Iiduka, Hideaki
Published: (2026)
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning
by: Takahashi, Hideaki
Published: (2023)
by: Takahashi, Hideaki
Published: (2023)
PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence
by: Yajima, Haruki, et al.
Published: (2026)
by: Yajima, Haruki, et al.
Published: (2026)
Broadcast Product: Shape-aligned Element-wise Multiplication and Beyond
by: Matsui, Yusuke, et al.
Published: (2024)
by: Matsui, Yusuke, et al.
Published: (2024)
AutoML Benchmark with shorter time constraints and early stopping
by: Jurado, Israel Campero, et al.
Published: (2025)
by: Jurado, Israel Campero, et al.
Published: (2025)
Enhancing stop location detection for incomplete urban mobility datasets
by: Bertè, Margherita, et al.
Published: (2024)
by: Bertè, Margherita, et al.
Published: (2024)
LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table
by: Matsui, Yusuke
Published: (2025)
by: Matsui, Yusuke
Published: (2025)
Implicit neural representations for accurate estimation of the standard model of white matter
by: Hendriks, Tom, et al.
Published: (2025)
by: Hendriks, Tom, et al.
Published: (2025)
Dimension-Independent Kernel ε-Covers
by: Phillips, Jeff M., et al.
Published: (2023)
by: Phillips, Jeff M., et al.
Published: (2023)
On uncertainty-penalized Bayesian information criterion
by: Thanasutives, Pongpisit, et al.
Published: (2024)
by: Thanasutives, Pongpisit, et al.
Published: (2024)
On the $ε$-Free Inference Complexity of Absorbing Discrete Diffusion
by: Huang, Xunpeng, et al.
Published: (2025)
by: Huang, Xunpeng, et al.
Published: (2025)
Q&A Label Learning
by: Kawamoto, Kota, et al.
Published: (2023)
by: Kawamoto, Kota, et al.
Published: (2023)
Similar Items
-
Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
by: Tamano, Hiroshi, et al.
Published: (2025) -
From DPPs to $k$-DPPs: identifiability analysis via spectral decomposition
by: Hino, Hideitsu, et al.
Published: (2026) -
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
by: Kawashima, Takahiro, et al.
Published: (2024) -
Gradual Domain Adaptation via Normalizing Flows
by: Sagawa, Shogo, et al.
Published: (2022) -
Complex non-backtracking matrix for directed graphs
by: Sando, Keishi, et al.
Published: (2025)