AI News

The Value Function Semi-Algebraic Set in Partially Observable Markov Decision Processes (arxiv.org)

Local and Global Contraction Principles for MCMC Mixing (arxiv.org)

A Fast Screening Approach for High-dimensional Outcomes and High-dimensional Predictors (arxiv.org)

Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach (arxiv.org)

Finding Kissing Numbers with Game-theoretic Reinforcement Learning (arxiv.org)

Constitutional On-Policy Safe Distillation (arxiv.org)

Neural Networks Provably Learn Spectral Representations for Group Composition (arxiv.org)

Neural Posterior Estimation for Stochastic Epidemic Models Using Final Outcome Data (arxiv.org)

Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies (arxiv.org)

Optimized Labeling Resource Allocation for Prediction-Assisted Inference via OPAL (arxiv.org)

Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection (arxiv.org)

Analytical Evaluation of DCA Convergence Properties for Minimizing Prediction Functions of Gaussian RBF Support Vector Regression (arxiv.org)

Multimodal Transformer Based Generic Mixture Density Network for Scattering Timescale Estimation of Fast Radio Bursts (arxiv.org)

Conformal Language Modeling via Posterior Sampling (arxiv.org)

Recovering Direct Price Effects of Environmental Amenities in Housing Markets: Regression and Causal Machine Learning Model Assessment with Empirical Monte Carlo Simulation (arxiv.org)

Rashomon-Seeded Annealing for Robust Bayesian Inference in Factorial Designs (arxiv.org)

Synthetic Hallucinations, Real Gains: Hard Negatives from Frontier Models for FIM Hallucination Mitigation (arxiv.org)

Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning (arxiv.org)

Optimal Initialization in Depth: Lyapunov Initialization and Limit Theorems for Deep Leaky ReLU Networks (arxiv.org)

Optimal and exact recovery on the general nonuniform Hypergraph Stochastic Block Model (arxiv.org)

Partial recovery and weak consistency in the non-uniform hypergraph Stochastic Block Model (arxiv.org)

Laplacian Representations for Decision-Time Planning (arxiv.org)

Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss (arxiv.org)

Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach (arxiv.org)

Generating Rectifiable Measures through Neural Networks (arxiv.org)

Fast data inversion for high-dimensional Ornstein-Uhlenbeck processes from noisy measurements (arxiv.org)

Greed is Good: A Unifying Perspective on Guided Generation (arxiv.org)

FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modularized Collaboration (arxiv.org)

Physics-informed diffusion models in spectral space (arxiv.org)

Analyzing Stream Collapse in Hyper-Connections: From Diagnosis to Mitigation (arxiv.org)

PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios (arxiv.org)

SAIL: Sound Abstract Interpreters with LLMs (arxiv.org)

ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL (arxiv.org)

Tailoring Strictly Proper Scoring Rules for Downstream Tasks: An Application to Causal Inference (arxiv.org)

A Quantitative Approximation Framework for Flow Distillation in Diffusion Models (arxiv.org)

Set-Preserving Calibration from Conformal P-Values to E-Values (arxiv.org)

Social Caption: Evaluating Social Understanding in Multimodal Models (arxiv.org)

Learning Self-Interpretation from Interpretability Artifacts: Training Lightweight Adapters on Vector-Label Pairs (arxiv.org)

QUBRIC: Co-Designing Queries and Rubrics for RL Beyond Verifiable Rewards (arxiv.org)

Making Brain-Computer Interfaces More Secure (arxiv.org)

Few-Shot Prediction for Pulsar Noise with Long Short-Term Memory Network (arxiv.org)

AlignAtt4LLM: Fast AlignAtt for Decoder-Only LLMs at IWSLT 2026 Simultaneous Speech Translation Task (arxiv.org)

Assessing Region-Level EEG Contributions to Cognitive Workload Prediction (arxiv.org)

Testing the Test: Score-Direction Instability in Class-Split Anomaly Detection (arxiv.org)

PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models (arxiv.org)

Graph Mamba Survival Analysis Based on Topology-Aware ordering (arxiv.org)

A Robust Optimization Approach to Sparse Principal Component Analysis (arxiv.org)

Combining Statistical Features and Deep Encodings for Rehearsal-Based Class-Incremental Time Series Classification (arxiv.org)

Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation (arxiv.org)

Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification (arxiv.org)