Stat.ML Papers

Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning ift.tt/9t0J1v2

Beyond Distance: Quantifying Point Cloud Dynamics with Persistent Homology and Dynamic Optimal Transport ift.tt/G7wXimz

Learnability with Partial Labels and Adaptive Nearest Neighbors ift.tt/mqG3FfS

Learning to Recall with Transformers Beyond Orthogonal Embeddings ift.tt/xn03Zo1

Safe Distributionally Robust Feature Selection under Covariate Shift ift.tt/sxuUNBY

Deep Adaptive Model-Based Design of Experiments ift.tt/SnFHMyD

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing ift.tt/qe7APuK

An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants ift.tt/REl5pcA

Quantum Amplitude Estimation for Catastrophe Insurance Tail-Risk Pricing: Empirical Convergence and NISQ Noise Analysis ift.tt/r7VRJDs

Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning ift.tt/7oFAIf9

When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making ift.tt/F2cf0mr

Bayesian-guided inverse design of hyperelastic microstructures: Application to stochastic metamaterials ift.tt/yvLjwkZ

Breakdown properties of optimal transport maps: general transportation costs ift.tt/uvSpmGP

Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning ift.tt/xIBH0rh

Population Annealing as a Discrete-Time Schr\"odinger Bridge ift.tt/n4g3VcY

Agile Interception of a Flying Target using Competitive Reinforcement Learning ift.tt/UiIzKjf

SympFormer: Accelerated attention blocks via Inertial Dynamics on Density Manifolds ift.tt/siwPWC8

Self-Aware Markov Models for Discrete Reasoning ift.tt/m7Dq53H

High-dimensional estimation with missing data: Statistical and computational limits ift.tt/zO94Z2Y

GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems ift.tt/16wXmJs