Stat.ML Papers
@StatMLPapers
Unofficial updates of statistical machine learning papers on arXiv
Structural DID with ML: Theory, Simulation, and a Roadmap for Applied Research ift.tt/QlEdGPw
Generative AI Models for Learning Flow Maps of Stochastic Dynamical Systems in Bounded Domains ift.tt/0dU75ax
PAC Off-Policy Prediction of Contextual Bandits ift.tt/DPBknvV
Estimating Treatment Effects with Independent Component Analysis ift.tt/vfIGhXn
Structural Effect and Spectral Enhancement of High-Dimensional Regularized Linear Discriminant Analysis ift.tt/h8DOdVU
Bayesian implementation of Targeted Maximum Likelihood Estimation for uncertainty quantification in causal effect estimation ift.tt/irfdlAz
A Distributional View of High Dimensional Optimization ift.tt/Ky1Rrbu
Meta-learning of Gibbs states for many-body Hamiltonians with applications to Quantum Boltzmann Machines ift.tt/GyICY5v
Families of Optimal Transport Kernels for Cell Complexes ift.tt/IsGLuMf
Deep Unfolding Network for Nonlinear Multi-Frequency Electrical Impedance Tomography ift.tt/3HqEwd9
Bootstrapped Control Limits for Score-Based Concept Drift Control Charts ift.tt/kvxylgV
A Partitioned Sparse Variational Gaussian Process for Fast, Distributed Spatial Modeling ift.tt/FAszvXD
Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests ift.tt/3DQLtdz
Risk and cross validation in ridge regression with correlated samples ift.tt/fbz10BT
The Joys of Categorical Conformal Prediction ift.tt/SLPxlTK
Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD ift.tt/q3Mse2x
Learning to Bid in Non-Stationary Repeated First-Price Auctions ift.tt/jqy0IzD