arXiv stat.ML

Machine Learning daily digest.

52 past editions, oldest first by date. Atom feed → · all categories

01 — Past editions

most recent first

2026-07-19 Subjective Risk Decomposition: A New View for Uncertainty Quantification 3 papers · No. 58
2026-07-18 Subjective Risk Decomposition: A New View for Uncertainty Quantification 3 papers · No. 57
2026-07-17 Subjective Risk Decomposition: A New View for Uncertainty Quantification 3 papers · No. 56
2026-07-16 Multimodal Empirical Bayes Variational Autoencoders for Joint Longitudinal... 4 papers · No. 55
2026-07-15 Ensemble Controlled-Flow Filtering for Implicit Data Assimilation 7 papers · No. 54
2026-07-14 Diversified Multinomial Logit Contextual Bandits 2 papers · No. 53
2026-07-13 Deep Gaussian Processes on Directed Acyclic Graphs 4 papers · No. 52
2026-07-12 Score Accuracy Along the Forward Diffusion Does Not Certify Numerical... 5 papers · No. 51
2026-07-11 Score Accuracy Along the Forward Diffusion Does Not Certify Numerical... 5 papers · No. 50
2026-07-10 Score Accuracy Along the Forward Diffusion Does Not Certify Numerical... 5 papers · No. 49
2026-07-09 A Unified Detection Framework for AI-Related Content and Artifacts 6 papers · No. 48
2026-07-08 A Function-Space Dichotomy for Compositional Learning: Exponential... 7 papers · No. 47
2026-07-07 Fitted Occupancy-Ratio Evaluation without Bellman Completeness 9 papers · No. 46
2026-07-06 The Dual Nature of LLM Persona: Aggregated Tendencies and Frame-Dependent Geometry 6 papers · No. 45
2026-07-05 The Dual Nature of LLM Persona: Aggregated Tendencies and Frame-Dependent Geometry 6 papers · No. 44
2026-07-04 The Dual Nature of LLM Persona: Aggregated Tendencies and Frame-Dependent Geometry 6 papers · No. 43
2026-07-03 The Dual Nature of LLM Persona: Aggregated Tendencies and Frame-Dependent Geometry 6 papers · No. 42
2026-07-02 Characterizing and Identifying Separable Graphical Models 5 papers · No. 41
2026-07-01 Accelerating Conformal Prediction via Approximate Leave-One-Out 2 papers · No. 40
2026-06-30 Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms 9 papers · No. 39
2026-06-29 Surprises in Proper Positive-Only Learning 4 papers · No. 38
2026-06-28 When are likely answers right? On Sequence Probability and Correctness in LLMs 4 papers · No. 37
2026-06-27 When are likely answers right? On Sequence Probability and Correctness in LLMs 4 papers · No. 36
2026-06-26 When are likely answers right? On Sequence Probability and Correctness in LLMs 4 papers · No. 35
2026-06-25 When Does Synthetic Data Augmentation Improve Score-Based Imbalanced Classification? 6 papers · No. 34
2026-06-24 Model selection with proper scoring rules on data sets of time series 2 papers · No. 33
2026-06-23 Action-BED: Task-Driven Bayesian Experimental Design with Singly Intractable... 7 papers · No. 32
2026-06-22 SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution... 4 papers · No. 31
2026-06-21 SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution... 4 papers · No. 30
2026-06-20 SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution... 4 papers · No. 29
2026-06-19 SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution... 4 papers · No. 28
2026-06-18 Generalised Eigenvalue Geometry of Semantic Adversarial Attacks 7 papers · No. 27
2026-06-17 A Diffusion Approximation for Temporal-Difference Learning with Linear... 6 papers · No. 26
2026-06-16 Dynestyx: A Probabilistic Programming Library for Dynamical Systems 5 papers · No. 25
2026-06-15 Cluster LOCO: Feature Importance For Interpreting Clusters 9 papers · No. 24
2026-06-14 Majority-of-Three is Optimal 4 papers · No. 23
2026-06-13 Majority-of-Three is Optimal 4 papers · No. 22
2026-06-12 Majority-of-Three is Optimal 4 papers · No. 21
2026-06-11 Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence 4 papers · No. 20
2026-06-10 Itô maps for any-step SDEs 4 papers · No. 19
2026-06-09 Report the Floor: A Training-Free Conformal Interval Is a Mandatory Baseline... 2 papers · No. 18
2026-06-08 Automatic, Debiased, and Invariant Counterfactual Generation under General... 7 papers · No. 17
2026-06-07 Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees 11 papers · No. 16
2026-06-06 Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees 11 papers · No. 15
2026-06-05 Conformal Risk Sharing: Certified Cost Allocation with Participation Guarantees 11 papers · No. 14
2026-06-02 Doing well with less! On Sampling Techniques for Empirical Pairwise Loss... 9 papers · No. 13
2026-05-30 Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix... 6 papers · No. 12
2026-05-28 Beyond Lipschitz: Data-Driven Robustness via Discrete Modulus of Continuity 8 papers · No. 11
2026-05-27 Gaussian Process-based learning with new MCMC-based implementation of... 6 papers · No. 10
2026-05-25 KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for... 2 papers · No. 9
2026-05-23 Finite-Particle Convergence Rates for Conservative and Non-Conservative... 1 papers · No. 8
2026-05-22 Finite-Particle Convergence Rates for Conservative and Non-Conservative... 1 papers · No. 7

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