Saved in:
| Main Author: | Rodriguez, Carlos C. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.13613 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)
by: Bibaut, Aurelien, et al.
Published: (2022)
Non-identifiability distinguishes Neural Networks among Parametric Models
by: Chatterjee, Sourav, et al.
Published: (2025)
by: Chatterjee, Sourav, et al.
Published: (2025)
Parametric Mean-Field empirical Bayes in high-dimensional linear regression
by: Lee, Seunghyun, et al.
Published: (2026)
by: Lee, Seunghyun, et al.
Published: (2026)
Convergence of Statistical Estimators via Mutual Information Bounds
by: Khribch, El Mahdi, et al.
Published: (2024)
by: Khribch, El Mahdi, et al.
Published: (2024)
On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
by: Agrawal, Shubhada, et al.
Published: (2025)
by: Agrawal, Shubhada, et al.
Published: (2025)
Cost-optimal Sequential Testing via Doubly Robust Q-learning
by: Zhou, Doudou, et al.
Published: (2026)
by: Zhou, Doudou, et al.
Published: (2026)
Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions using Soft Decomposition
by: Lee, Holden, et al.
Published: (2024)
by: Lee, Holden, et al.
Published: (2024)
Information Geometry of Wasserstein Statistics on Shapes and Affine Deformations
by: Amari, Shun-ichi, et al.
Published: (2023)
by: Amari, Shun-ichi, et al.
Published: (2023)
Gaussian Process Upper Confidence Bounds in Distributed Point Target Tracking over Wireless Sensor Networks
by: Liu, Xingchi, et al.
Published: (2024)
by: Liu, Xingchi, et al.
Published: (2024)
Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games
by: Ocello, Antonio, et al.
Published: (2025)
by: Ocello, Antonio, et al.
Published: (2025)
Refined Risk Bounds for Unbounded Losses via Transductive Priors
by: Qian, Jian, et al.
Published: (2024)
by: Qian, Jian, et al.
Published: (2024)
Sequential Bayesian Neural Subnetwork Ensembles
by: Jantre, Sanket, et al.
Published: (2022)
by: Jantre, Sanket, et al.
Published: (2022)
Asymptotically Optimal Sequential Testing with Markovian Data
by: Sethi, Alhad, et al.
Published: (2026)
by: Sethi, Alhad, et al.
Published: (2026)
Conformal Prediction with Time-Series Data via Sequential Conformalized Density Regions
by: Sampson, M., et al.
Published: (2026)
by: Sampson, M., et al.
Published: (2026)
Multitask Learning and Bandits via Robust Statistics
by: Xu, Kan, et al.
Published: (2021)
by: Xu, Kan, et al.
Published: (2021)
Sequential Kernelized Independence Testing
by: Podkopaev, Aleksandr, et al.
Published: (2022)
by: Podkopaev, Aleksandr, et al.
Published: (2022)
Parametric Scaling Law of Tuning Bias in Conformal Prediction
by: Zeng, Hao, et al.
Published: (2025)
by: Zeng, Hao, et al.
Published: (2025)
Observable Geometry of Singular Statistical Models
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Robust Alignment via Partial Gromov-Wasserstein Distances
by: Gong, Xiaoyun, et al.
Published: (2025)
by: Gong, Xiaoyun, et al.
Published: (2025)
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
by: Vilucchio, Matteo, et al.
Published: (2024)
by: Vilucchio, Matteo, et al.
Published: (2024)
MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
by: Pham, Phu-Hoa, et al.
Published: (2026)
by: Pham, Phu-Hoa, et al.
Published: (2026)
Functional Sequential Treatment Allocation with Covariates
by: Kock, Anders Bredahl, et al.
Published: (2020)
by: Kock, Anders Bredahl, et al.
Published: (2020)
Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
PTF Testing Lower Bounds for Non-Gaussian Component Analysis
by: Diakonikolas, Ilias, et al.
Published: (2025)
by: Diakonikolas, Ilias, et al.
Published: (2025)
Optimal Lower Bounds for Online Multicalibration
by: Collina, Natalie, et al.
Published: (2026)
by: Collina, Natalie, et al.
Published: (2026)
Feature Incremental Clustering with Generalization Bounds
by: Zhang, Jing, et al.
Published: (2026)
by: Zhang, Jing, et al.
Published: (2026)
On the Natural Gradient of the Evidence Lower Bound
by: Ay, Nihat, et al.
Published: (2023)
by: Ay, Nihat, et al.
Published: (2023)
Improved Algorithm and Bounds for Successive Projection
by: Jin, Jiashun, et al.
Published: (2024)
by: Jin, Jiashun, et al.
Published: (2024)
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
Robust Bayesian Inference via Variational Approximations of Generalized Rho-Posteriors
by: Khribch, EL Mahdi, et al.
Published: (2026)
by: Khribch, EL Mahdi, et al.
Published: (2026)
Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction
by: Herrera-Esposito, Daniel, et al.
Published: (2025)
by: Herrera-Esposito, Daniel, et al.
Published: (2025)
Functional Bias and Tangent-Space Geometry in Variational Inference
by: Plummer, Sean
Published: (2026)
by: Plummer, Sean
Published: (2026)
Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
by: Reeves, Galen
Published: (2025)
by: Reeves, Galen
Published: (2025)
Multi-Armed Sequential Hypothesis Testing by Betting
by: Sandoval, Ricardo J., et al.
Published: (2026)
by: Sandoval, Ricardo J., et al.
Published: (2026)
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
by: Lau, Ivan, et al.
Published: (2025)
by: Lau, Ivan, et al.
Published: (2025)
Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
by: Wu, Bohan, et al.
Published: (2024)
by: Wu, Bohan, et al.
Published: (2024)
Adversarial Surrogate Risk Bounds for Binary Classification
by: Frank, Natalie S.
Published: (2025)
by: Frank, Natalie S.
Published: (2025)
Bounds in Wasserstein Distance for Locally Stationary Processes
by: Tinio, Jan Nino G., et al.
Published: (2024)
by: Tinio, Jan Nino G., et al.
Published: (2024)
Lower Bounds on the Size of Markov Equivalence Classes
by: Jahn, Erik, et al.
Published: (2025)
by: Jahn, Erik, et al.
Published: (2025)
Bounding Neyman-Pearson Region with $f$-Divergences
by: Mullhaupt, Andrew, et al.
Published: (2025)
by: Mullhaupt, Andrew, et al.
Published: (2025)
Similar Items
-
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022) -
Non-identifiability distinguishes Neural Networks among Parametric Models
by: Chatterjee, Sourav, et al.
Published: (2025) -
Parametric Mean-Field empirical Bayes in high-dimensional linear regression
by: Lee, Seunghyun, et al.
Published: (2026) -
Convergence of Statistical Estimators via Mutual Information Bounds
by: Khribch, El Mahdi, et al.
Published: (2024) -
On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
by: Agrawal, Shubhada, et al.
Published: (2025)