:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Maurer, Andreas
Format:	Preprint
Published:	2025
Subjects:	Machine Learning 68T05 G.3
Online Access:	https://arxiv.org/abs/2502.11071
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Model Selection for Generalized Linear Models
by: Schwendinger, Benjamin, et al.
Published: (2024)

A General Framework for Off-Policy Learning with Partially-Observed Reward
by: Takehi, Rikiya, et al.
Published: (2025)

Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression
by: Shen, Guohao, et al.
Published: (2023)

Enhancing binary classification: A new stacking method via leveraging computational geometry
by: Wu, Wei, et al.
Published: (2024)

Generator-based Graph Generation via Heat Diffusion
by: Stephenson, Anthony, et al.
Published: (2026)

Throwing Vines at the Wall: Structure Learning via Random Search
by: Vatter, Thibault, et al.
Published: (2025)

Data-driven Error Estimation: Excess Risk Bounds without Class Complexity as Input
by: Krishnamurthy, Sanath Kumar, et al.
Published: (2024)

Towards the Best Solution for Complex System Reliability: Can Statistics Outperform Machine Learning?
by: Gamiz, Maria Luz, et al.
Published: (2024)

Factorizable joint shift revisited
by: Tasche, Dirk
Published: (2026)

Identifying All ε-Best Arms in (Misspecified) Linear Bandits
by: Li, Zhekai, et al.
Published: (2025)

Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning
by: Jia, Yimeng, et al.
Published: (2024)

Conditional Stochastic Interpolation for Generative Learning
by: Huang, Ding, et al.
Published: (2023)

Leveraging Machine Learning for Official Statistics: A Statistical Manifesto
by: Puts, Marco, et al.
Published: (2024)

Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
by: Ahmadian, Rouhollah, et al.
Published: (2024)

Primal-Dual Sample Complexity Bounds for Constrained Markov Decision Processes with Multiple Constraints
by: Buckley, Max, et al.
Published: (2025)

MMD-Balls as Credal Sets: A PAC-Bayesian Framework for Epistemic Uncertainty in Test-Time Adaptation
by: Ariq, Ahanaf Hasan
Published: (2026)

Robust X-Learner: Breaking the Curse of Imbalance and Heavy Tails via Robust Cross-Imputation
by: Uehara, Eichi
Published: (2026)

Sparse joint shift in multinomial classification
by: Tasche, Dirk
Published: (2023)

Learning from Imperfect Data: Robust Inference of Dynamic Systems using Simulation-based Generative Model
by: Cho, Hyunwoo, et al.
Published: (2025)

Deterministic Coreset Construction via Adaptive Sensitivity Trimming
by: Alpay, Faruk, et al.
Published: (2025)

Optimization-Free Topological Sort for Causal Discovery via the Schur Complement of Score Jacobians
by: Wu, Rui, et al.
Published: (2026)

Modeling and Controlling Deployment Reliability under Temporal Distribution Shift
by: Rahman, Naimur, et al.
Published: (2026)

Smooth, Sparse, and Stable: Finite-Time Exact Skeleton Recovery via Smoothed Proximal Gradients
by: Wu, Rui, et al.
Published: (2026)

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
by: Holt, Samuel, et al.
Published: (2025)

A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
by: Katende, Ronald
Published: (2026)

Transient anisotropic kernel for probabilistic learning on manifolds
by: Soize, Christian, et al.
Published: (2024)

Statistical Properties of Deep Neural Networks with Dependent Data
by: Brown, Chad
Published: (2024)

Transfer Learning through Enhanced Sufficient Representation: Enriching Source Domain Knowledge with Target Data
by: Ge, Yeheng, et al.
Published: (2025)

Fair Sufficient Representation Learning
by: Zhou, Xueyu, et al.
Published: (2025)

Gaussian Interpolation Flows
by: Gao, Yuan, et al.
Published: (2023)

Convergence of Continuous Normalizing Flows for Learning Probability Distributions
by: Gao, Yuan, et al.
Published: (2024)

Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
by: Huang, Ding, et al.
Published: (2024)

Realizable Bayes-Consistency for General Metric Losses
by: Cohen, Dan Tsir, et al.
Published: (2026)

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
by: Zhang, Zhi, et al.
Published: (2024)

Mathematical Foundations of Neural Tangents and Infinite-Width Networks
by: Mysore, Rachana, et al.
Published: (2025)

EchoLSTM: A Self-Reflective Recurrent Network for Stabilizing Long-Range Memory
by: K, Prasanth K, et al.
Published: (2025)

Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
by: Landers, Jonathan R.
Published: (2026)

Estimating Unbounded Density Ratios: Applications in Error Control under Covariate Shift
by: Xu, Shuntuo, et al.
Published: (2025)

Wasserstein Distributionally Robust Nonparametric Regression
by: Liu, Changyu, et al.
Published: (2025)

Pair Correlation Factor and the Sample Complexity of Gaussian Mixtures
by: Aryan, Farzad
Published: (2025)