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- High-Value Training Data from Noisy, Diverse Sources
- Generalizing Metropolis-Hastings for DAG Sampling
- When Reconstruction Is Not Enough: Doubly Robust Counterfactual and Interventional Mediation Analysis with Learned Multimodal Representations
- Why Constrained Updates Still Forget: A Functional-Path Analysis of Continual SFT
- WhatIf-Bench: Benchmarking Intervention-Aware Time Series Forecasting
- When Prediction Error Is Not Enough: Evaluating Nuisance-Function Prediction for Causal Estimation
- Beyond Exchangeability: Distribution-Shift-Aware Integration of External Control Data in Randomized Trials
- PCA score regression: the art of losing power
- Policy Learning with Observational Data: The Case of Hepatitis C Treatment for HIV/HCV Co-Infected Patients
- AI Mindmeld: A Latent Interconnect Protocol
- An F-Type Normal-Reference Calibration for High-Dimensional Covariance Testing
- Triple Products of Correlated Multivariate Hermite Polynomials
- 2Flow2SN: Dusty Supernova Cosmology with Photometric Redshifts and Contamination using Neural Simulation-Based Inference
- Bridge change-of-measure for propagator estimation of diffusions
- Nested Sampling: A Critical and Comprehensive Theoretical Guide
- Geometric Algebra for Neural Networks: A Survey
- Technical Report: Causal ANOVA Applied to COMPAS
- Flowz: When Does Learning Forecast Errors Add Value? Conditional Flow Matching for Financial Price Forecasts
- Mastering Model Fit: Applications of the InterModel Vigorish for Interpretable Machine Learning
- How Do DiTs Denoise? An Aggregator-Predictor View of Attention and MLPs
- Post-hoc Epistemic Uncertainty for Vision-Language-Action Policies
- Near Minimax Rate for Quantile Distributional Reinforcement Learning
- Fragment-Level Graph Encoding for Interpretable Molecular Property Prediction
- Residual-Based Causal Discovery via Pretrained In-Context Quantile Regression
- Asynchronous, Generation-Free ABC: Streaming AMIS Reweighting for Heterogeneous Simulator Workloads on HPC