AI News

Minimax Regret for Sobolev Kernel-Based Reinforcement Learning (arxiv.org)

The Information Geometry of Representation Formation (arxiv.org)

Constrained Gradient Equilibrium: Approachability under Locally Constrained Adversaries (arxiv.org)

A Nonconvex Framework for Joint Sparse Sample Weighting and Parameter Estimation (arxiv.org)

When is early stopping beneficial under label noise? A phase diagram for kernel gradient flow (arxiv.org)

Valid Early Detection of Memorization in Diffusion Models (arxiv.org)

Approximate Universal Prediction under Interaction (arxiv.org)

Hessian-Similar Optimization with Capped Participation: Lower Bounds and Virtual Masters (arxiv.org)

How Geometry Shapes Generative Model Evaluation on Riemannian Manifolds (arxiv.org)

Causal Inference in Metric Spaces via Distance Profiles (arxiv.org)

Faithful Federated Tabular Data Synthesis (arxiv.org)

When Are Nesterov Trajectories Eventually Locally Minimizing? (arxiv.org)

Blind Random Search with Noisy Measurements: Almost Sure Convergence and Convergence Rates (arxiv.org)

The kernel mean embedding of a random probability distribution and its principal components (arxiv.org)

Not All Mislabels Are Equal: Efficient Task-Aware Auditing with Confidence Sequences (arxiv.org)

Do Halting Heads Really Save Compute in Looped Language Models? (arxiv.org)

TGAge: A Phenotypic Aging Clock Based on Tabular Foundation Models and the Gompertz Law for Assisted Living Facility Residents (arxiv.org)

GoCo: structure-guided conformal calibration for error-controlled Gene Ontology annotation release (arxiv.org)

Model Selection for Off-Policy Evaluation via Pairwise Bellman Validation (arxiv.org)

Provably Efficient Q-learning for Robust Reinforcement Learning (arxiv.org)

A knowledge-driven nonconvex square-root regularization framework for joint group sparsity and structured smoothness (arxiv.org)

Beyond Wasserstein Proximity: Finding Better Transfer Sources (arxiv.org)

Temporal-Difference Calibration of Black-Box Simulators (arxiv.org)

Identities, Not Pairs: Distribution-Free False-Accept Control for Embedding-Based Verification (arxiv.org)

Are We Done with UMLS Injection into Language Models for Medical Question Answering? (arxiv.org)

Sequential versus fully conditional specification for tree-based synthesis of health data (arxiv.org)

Macro Mondrian Conformal Risk Control (arxiv.org)

The Noise-Transmission Burden of Diffusion Network: Why Image Prediction Can Outperform Noise Prediction (arxiv.org)

Intrinsic Information Rates of Summaries in Simulation-Based Inference (arxiv.org)

ConMem: Counterfactual Multi-Scenario Probing for Resolving LLM Memory Misalignment (arxiv.org)

How Much Graph Is Too Much? Graph Construction and Exposure in Spatio-Temporal Forecasting (arxiv.org)

HIFI: A Highly Efficient Framework for Statistical Inference with Foundation Models (arxiv.org)

Joint Independence Testing for Latent Position Random Graphs (arxiv.org)

Certifying Distributionally Robust Decisions from Projection Observations (arxiv.org)

Intrinsic Gradient Barriers in Pushforward Deep Generative Models (arxiv.org)

Synthetic Data Augmentation for Functional Data: Wasserstein Risk Bounds and Diffusion-Based Conditional Generation (arxiv.org)

MetaARIMA: Configuration-Level Transfer Learning for ARIMA Models (arxiv.org)

Prior-Data Fitted Networks for In-Context Off-Policy Evaluation (arxiv.org)

Partial Modal Tensor Regression (arxiv.org)

Projection-Based Federated Learning on Compact Submanifolds with Geometry-Independent Differential Privacy (arxiv.org)

Depth Improves Training-Time Scaling for Difficult Tasks in Deep Linear Networks (arxiv.org)

On the Error Analysis of Triangular Transport Maps for Conditional Generation via MMD-based Objectives (arxiv.org)

Affine-invariant Cubic Newton with Weak Learners (arxiv.org)

Online Covariance Estimation for Averaged Stochastic Gradient Descent on Riemannian Manifolds (arxiv.org)

Kernelised covariance matrices, dimension reduction and imbalanced spectral clustering (arxiv.org)

NoiseFormer -- Noise Diffused Symmetric Attention Transformer (arxiv.org)

Benchmarking Classification Tasks of Chest X-ray AI Across Multinational Public and Private Datasets: a retrospective diagnostic accuracy study (arxiv.org)

Why Geometric Continuity Emerges in Deep Neural Networks: Residual Connections and Rotational Symmetry Breaking (arxiv.org)

RAQ-MLA: Role-Aware Quantization for Multi-Head Latent Attention Caches (arxiv.org)

A Causal Perspective on the Role of Training Dynamics for Interpreting Privacy Risks in Code Models (arxiv.org)