:: Library Catalog

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Xehetasun bibliografikoak
Egile nagusia:	Aryan, Farzad
Formatua:	Preprint
Argitaratua:	2025
Gaiak:	Machine Learning 62H30, 68T05, 62F12, 68Q32 I.2.6; G.3
Sarrera elektronikoa:	https://arxiv.org/abs/2508.03633
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak

Closed-Form Beta Distribution Estimation from Sparse Statistics with Random Forest Implicit Regularization
nork: Landers, Jonathan R.
Argitaratua: (2025)

Hallucinations Live in Variance
nork: Flouro, Aaron R., et al.
Argitaratua: (2026)

Machine Collaboration
nork: Liu, Qingfeng, et al.
Argitaratua: (2021)

A Fiber Criterion for Representation Identifiability in Supervised Learning
nork: Sevetlidis, Vasileios
Argitaratua: (2026)

When Are Two RLHF Objectives the Same?
nork: Gaikwad, Madhava
Argitaratua: (2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
nork: Doumèche, Nathan
Argitaratua: (2025)

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

Batched Nonparametric Bandits via k-Nearest Neighbor UCB
nork: Arya, Sakshi
Argitaratua: (2025)

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

Inductive Venn-Abers and related regressors
nork: Petej, Ivan, et al.
Argitaratua: (2026)

Aggregation in conformal e-classification
nork: Vovk, Vladimir
Argitaratua: (2026)

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
nork: Ožbot, Miha, et al.
Argitaratua: (2025)

Causal Direction from Convergence Time: Faster Training in the True Causal Direction
nork: Tamim, Abdulrahman
Argitaratua: (2026)

Weak Signals and Heavy Tails: Learning Theory meets Extreme Value Analysis
nork: Clémençon, Stephan, et al.
Argitaratua: (2025)

Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects
nork: Liu, Yichen
Argitaratua: (2025)

ML-driven detection and reduction of ballast information in multi-modal datasets
nork: Solovko, Yaroslav
Argitaratua: (2026)

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

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
nork: Manokhin, Valery, et al.
Argitaratua: (2026)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
nork: Maturo, Fabrizio, et al.
Argitaratua: (2024)

EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance
nork: Amega, Mike
Argitaratua: (2026)

Retrieval-Augmented Memory for Online Learning
nork: Du, Wenzhang
Argitaratua: (2025)

The VOROS: Lifting ROC curves to 3D
nork: Ratigan, Christopher, et al.
Argitaratua: (2024)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
nork: Wibbeke, Jelke, et al.
Argitaratua: (2025)

Gradient Descent as Implicit EM in Distance-Based Neural Models
nork: Oursland, Alan
Argitaratua: (2025)

CDFlow: Building Invertible Layers with Circulant and Diagonal Matrices
nork: Feng, Xuchen, et al.
Argitaratua: (2025)

Ranking of Multi-Response Experiment Treatments
nork: Pebes-Trujillo, Miguel R., et al.
Argitaratua: (2024)

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
nork: Ferdous, Muhammad Hasan, et al.
Argitaratua: (2025)

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

Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
nork: Pinchuk, Mykola
Argitaratua: (2026)

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
nork: Degen, Isabella, et al.
Argitaratua: (2025)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
nork: Cabral, Rafael, et al.
Argitaratua: (2024)

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

metabeta -- A fast neural model for Bayesian mixed-effects regression
nork: Kipnis, Alex, et al.
Argitaratua: (2025)

Lightweight Defense Against Adversarial Attacks in Time Series Classification
nork: Han, Yi
Argitaratua: (2025)

From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
nork: Plummer, Sean
Argitaratua: (2025)

From 'What-is' to 'What-if' in Human-Factor Analysis: A Post-Occupancy Evaluation Case
nork: Chen, Xia, et al.
Argitaratua: (2025)

Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
nork: Tuononen, Marko, et al.
Argitaratua: (2025)

Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
nork: K, Prasanth K, et al.
Argitaratua: (2025)

Error Bounds for Learning with Vector-Valued Random Features
nork: Lanthaler, Samuel, et al.
Argitaratua: (2023)

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